From 9e46520ee9e283e0a961a7a6d5ff7f9e30086a8c Mon Sep 17 00:00:00 2001 From: Mattia De Nicola Date: Sat, 30 May 2026 15:14:17 +0200 Subject: [PATCH 01/10] Add source-agnostic ETL pipeline: Scopus, Dimensions, PubMed, Lens, OpenAlex --- .gitignore | 7 +- app.py | 209 +++++-- functions/get_annualproduction.py | 24 +- functions/get_worldmapcollaboration.py | 5 +- requirements.txt | Bin 4626 -> 2299 bytes test_etl_pipeline.py | 176 ++++++ www/services/__init__.py | 6 +- www/services/api_retriever.py | 376 ++++++++++++ www/services/biblionetwork.py | 16 +- www/services/column_mappings.py | 176 ++++++ www/services/etl_pipeline.py | 768 +++++++++++++++++++++++++ www/services/format_functions.py | 127 +--- www/services/histnetwork.py | 19 +- www/services/parsers.py | 89 ++- www/services/utils.py | 42 +- www/services/validator.py | 135 +++++ 16 files changed, 1987 insertions(+), 188 deletions(-) create mode 100644 test_etl_pipeline.py create mode 100644 www/services/api_retriever.py create mode 100644 www/services/column_mappings.py create mode 100644 www/services/etl_pipeline.py create mode 100644 www/services/validator.py diff --git a/.gitignore b/.gitignore index 23b99e089..8d556c11e 100644 --- a/.gitignore +++ b/.gitignore @@ -1,4 +1,9 @@ __pycache__/ bibliovenv/ Bibenv/ -.idea/ \ No newline at end of file +.idea/ +.venv/ +.DS_Store +**/.DS_Store +.claude/ +*.pyc \ No newline at end of file diff --git a/app.py b/app.py index f0891f894..651e6d998 100644 --- a/app.py +++ b/app.py @@ -49,6 +49,7 @@ # Import necessary libraries for better performance - avoid importing everything import tempfile import os +from pathlib import Path import requests import functools from datetime import datetime @@ -763,47 +764,9 @@ def show_table(): table_ui, _, _ = get_table(database, df) return table_ui - # -------- ADVICE BUTTON -------- - @render.ui - @reactive.event(input.advice_modal_completeness) - def show_advice_notification(): - return ui.notification_show( - ui.div( - ui.h4("Your metadata have no critical issues", style="font-size: 30px; text-align: center;"), - ui.input_action_button("close_advice_modal_notification", "OK", - style="display: block; margin: 20px auto;") - ), - duration=None, # La notifica rimane finché non viene chiusa - close_button=False, # Disabilita la X per la chiusura - id="advice_modal_notification", - ) - - # Aggiungi l'evento di chiusura al bottone OK - @reactive.effect - @reactive.event(input.close_advice_modal_notification) - def close_advice_notification(): - ui.notification_remove(id="advice_modal_notification") - - # -------- REPORT BUTTON -------- - @render.ui - @reactive.event(input.report_modal_completeness) - def show_missing_data_report(): - _, missingData, _ = get_table(database, df, modal=False) - dataframe = pd.read_html(io.StringIO(missingData)) - report_excel.set(add_to_report(report_choices, report_excel, [dataframe[0]], [], "missingdata")) - selection.set(selection.get() + (f"{list(report_choices.get().keys())[-1]}",)) - return ui.notification_show("✅ Missing data added to report", duration=5, close_button=False) - - # -------- SAVE BUTTON -------- - completeness_table_download_folder = str(Path.home() / "Downloads") - todaydate = datetime.today().strftime("%Y-%m-%d") - completeness_table_image_path = os.path.join(completeness_table_download_folder, f"missingDataTable-{todaydate}.png") - @render.ui - @reactive.event(input.save_modal_completeness) - def save_dataframe_image(): - _, _, fig = get_table(database, df, dpi=dpi.get(), modal=False) - fig.write_image(completeness_table_image_path) - return ui.notification_show(f"✅ Missing data image saved into {completeness_table_image_path}", duration=5, close_button=False) + # -------- ADVICE, REPORT, SAVE BUTTONS -------- + # Handled globally at the end of the file to support API loads + pass # Loader indicator @render.ui @@ -854,7 +817,116 @@ def indicator_types_ui_all(): ), with ui.nav_panel("None", value="API"): - ui.h3("🚧 Warning: API is under construction 🚧") + ui.h3("🌐 REST API Data Retrieval", style="color: #5567BB; font-weight: bold; margin-bottom: 20px;") + ui.p("Query and retrieve publication metadata directly from live REST APIs (PubMed and OpenAlex), standardizing them instantly into the unified schema.") + + with ui.layout_sidebar(fillable=False, fill=False): + with ui.sidebar(id="sidebar_api_retrieval", position="right"): + ui.h4("API Settings", style="color: #5567BB;") + ui.input_select( + "api_source", + "Source Database:", + { + "pubmed": "🧬 PubMed", + "openalex": "📚 OpenAlex" + } + ) + ui.input_text( + "api_query", + "Search Query:", + placeholder="e.g. bibliometrics AND python", + value="" + ) + ui.input_numeric( + "api_max_results", + "Max Results:", + value=100, + min=10, + max=500, + step=10 + ) + ui.input_select( + "api_author_format", + "Author Name Format:", + { + "surname": "Surname and Initials", + "fullname": "Full name" + } + ) + ui.input_action_button( + "api_start_button", + "Run Query", + icon=ICONS["play"], + class_="btn-primary", + style="background-color: #5567BB; border-color: #5567BB; color: white;" + ) + + # Main panel content + @render.express() + @reactive.event(input.api_start_button) + def run_api_query(): + query = input.api_query().strip() + source = input.api_source() + max_results = input.api_max_results() + author_format = input.api_author_format() + + if not query: + ui.markdown("
⚠️ Please enter a search query before running the API retrieval.
") + return + + ui.markdown(f"

Searching {source.upper()} for: '{query}'...

") + + try: + from www.services.etl_pipeline import BibliometrixETL + etl = BibliometrixETL() + + # Run retrieval + df_api = etl.run_api(query, source, max_results=max_results, author_format=author_format) + + # Save to reactive value + # Assign to _ to suppress the True return value of + # reactive.Value.set() which would otherwise be rendered + # as text "True" in @render.express() output. + _ = df.set(df_api) + reset_all_analyses() + + ui.update_action_button("export_button", disabled=False) + + ui.markdown( + f""" +
+

🎉 Success! Query completed successfully.

+ +

The dataset has been successfully loaded into the application. You can now proceed to the Filters or Overview sections to analyze the data.

+
+ """ + ) + + # Show itables or standard table + ui.HTML(init_itables()) + + @render.ui + def show_api_table(): + table_ui, _, _ = get_table(source.upper(), df) + return table_ui + + show_api_table() + + except Exception as e: + import traceback + traceback.print_exc() + ui.markdown( + f""" +
+

❌ Error executing API query:

+

{str(e)}

+
+ """ + ) with ui.nav_panel("None", value="collections"): ui.h3("🚧 Warning: Merge Collection is under construction 🚧") @@ -8185,7 +8257,7 @@ def update_plot_settings(): # --- Sidebar Management --- @render.express() -@reactive.event(input.start_button) +@reactive.event(input.start_button, input.api_start_button) def toggle_sidebar(): with ui.tags.div(id="sidebar_2", class_="custom-sidebar"): with ui.accordion(id="sidebar_accordion_data", multiple=False, open=False): @@ -8300,6 +8372,9 @@ def toggle_sidebar():

Version: 1.0.0 - Shiny for Python Based Application

""" ) + # Executed every time sidebar_2 is rendered; ensures the sidebar becomes + # visible even if the JS click listener was not updated in the browser cache. + ui.tags.script("if(window.setSidebarState) setSidebarState(true);") # --- Javascript for Sidebar --- @@ -8344,9 +8419,11 @@ def toggle_sidebar(): }); observer.observe(document.body, { childList: true, subtree: true }); - // Show both sidebars when 'start_button' is clicked + // Show both sidebars when 'start_button' (file upload) or + // 'api_start_button' (live API query) is clicked. + // closest() handles clicks landing on the inner icon/label inside the button. document.addEventListener("click", function(e) { - if (e.target && e.target.id === "start_button") { + if (e.target && e.target.closest && e.target.closest("#start_button, #api_start_button")) { setSidebarState(true); } }); @@ -8638,3 +8715,45 @@ def _(): @reactive.event(input.go_settings_2) def _(): ui.update_navs("hidden_tabs", selected="settings") + + +# --- Section 17: Completeness Modal Handlers --- +@reactive.effect +@reactive.event(input.advice_modal_completeness) +def show_advice_notification(): + ui.notification_show( + ui.div( + ui.h4("Your metadata have no critical issues", style="font-size: 30px; text-align: center;"), + ui.input_action_button("close_advice_modal_notification", "OK", + style="display: block; margin: 20px auto;") + ), + duration=None, # La notifica rimane finché non viene chiusa + close_button=False, # Disabilita la X per la chiusura + id="advice_modal_notification", + ) + +@reactive.effect +@reactive.event(input.close_advice_modal_notification) +def close_advice_notification(): + ui.notification_remove(id="advice_modal_notification") + +@reactive.effect +@reactive.event(input.report_modal_completeness) +def show_missing_data_report(): + database = df.get()["DB"].iloc[0] if df.get() is not None and not df.get().empty and "DB" in df.get().columns else "DATABASE" + _, missingData, _ = get_table(database, df, modal=False) + dataframe = pd.read_html(io.StringIO(missingData)) + report_excel.set(add_to_report(report_choices, report_excel, [dataframe[0]], [], "missingdata")) + selection.set(list(selection.get()) + [f"{list(report_choices.get().keys())[-1]}"]) + ui.notification_show("✅ Missing data added to report", duration=5, close_button=False) + +@reactive.effect +@reactive.event(input.save_modal_completeness) +def save_dataframe_image(): + database = df.get()["DB"].iloc[0] if df.get() is not None and not df.get().empty and "DB" in df.get().columns else "DATABASE" + completeness_table_download_folder = str(Path.home() / "Downloads") + todaydate = datetime.today().strftime("%Y-%m-%d") + completeness_table_image_path = os.path.join(completeness_table_download_folder, f"missingDataTable-{todaydate}.png") + _, _, fig = get_table(database, df, dpi=dpi.get(), modal=False) + fig.write_image(completeness_table_image_path) + ui.notification_show(f"✅ Missing data image saved into {completeness_table_image_path}", duration=5, close_button=False) diff --git a/functions/get_annualproduction.py b/functions/get_annualproduction.py index dd27105c2..9de52ddf8 100644 --- a/functions/get_annualproduction.py +++ b/functions/get_annualproduction.py @@ -13,17 +13,23 @@ def get_annual_production(df): """ data = df.get() - # Calculate the number of publications per year - publications_per_year = data["PY"].value_counts().sort_index().reset_index() + # The standardized schema stores PY as a string ("2024") and uses "" for + # missing values. Coerce to a numeric year and drop empties/non-numeric + # before building the contiguous year range below (range() needs ints). + years = pd.to_numeric(data["PY"], errors="coerce").dropna().astype(int) + publications_per_year = years.value_counts().sort_index().reset_index() publications_per_year.columns = ["Year", "Freq"] - # Find the range of years - min_year = publications_per_year["Year"].min() - max_year = publications_per_year["Year"].max() - - # Ensure all years in the range are present - all_years = pd.DataFrame({"Year": range(min_year, max_year + 1)}) - publications_per_year = all_years.merge(publications_per_year, on="Year", how="left").fillna(0) + if publications_per_year.empty: + # No parseable publication years: keep an empty frame so the plot + # renders blank instead of raising on range()/min()/max(). + publications_per_year = pd.DataFrame({"Year": [], "Freq": []}) + else: + # Ensure all years in the range are present + min_year = int(publications_per_year["Year"].min()) + max_year = int(publications_per_year["Year"].max()) + all_years = pd.DataFrame({"Year": range(min_year, max_year + 1)}) + publications_per_year = all_years.merge(publications_per_year, on="Year", how="left").fillna(0) # Create the plot fig = px.line( diff --git a/functions/get_worldmapcollaboration.py b/functions/get_worldmapcollaboration.py index 9edafa879..bd5859610 100644 --- a/functions/get_worldmapcollaboration.py +++ b/functions/get_worldmapcollaboration.py @@ -1,7 +1,10 @@ from www.services import * import pandas as pd -import geopandas as gpd +try: + import geopandas as gpd +except ImportError: + gpd = None import networkx as nx import plotly.express as px import plotly.graph_objects as go diff --git a/requirements.txt b/requirements.txt index d94f94d9fde545db192036336adda97dbb14fb42..22e10d244ae701622c38475f472c0eeb302d7a61 100644 GIT binary patch literal 2299 zcmYLKS&rj64Ezt!N3juS>E$CA7~lZ|%mD&LRvaa=q><@P+^2t4w3GR>Xs*Q~X@VGE z4u^fcuh(xY6Jru1uB~LsZa5s)^~Wrqd^#L<^_RYKZhgVurry;%SPh*o?tD0G>(9F3 zTO{3FgvJIMl!#D&v#+;waPlW{k8H}|5Sw10V~xEyNhv^)>1-f!Mf};ra1GO4y?KZ1 zOhHpOA8K@=6RBbfI$PJxhJjjVVJ}IsLiD#4qCWa?_Q7d7tjj&D%i>e)N*Xi8>fJq@9mU6vcr;Wz z8*dZwS>m4&e<^)e?}5_Ws&gru*cvFogaNyhy5K4^%0+>N?Mv9XXl7X6RkfIW`Sw2= zU`=F8U7-DSi-IAMIspmYANgbiz<>IYOXEyZ3J}Nx`DOt=v}=v^(WqaPDO%0 z9g7=)q9t+Of$|>z@+6lOwGE#P4Z+>FofGJ=HPjJv3bX-OO!ewol!B7KSjsOSuV$mM zseDZ*L?R~I=i7u2fA>QQ-%mD!Z^6f#KTnmHimcke1Qr2|A-j?4+p0I^ z)~0)W>d-C3|3N(FKjw^*C_)mwksJ~srs#_^_fJ&$h+t4gQe=AHYRoE!vGX&>6so=* z3xZP%E~6>;i{Y$+@H$G-$vu@Dn!ZIJfJY31`C&Xh#{O9ctW$O|PY<{QCD@i!2(dm9 z0HjExV8WD7EFz~tP+K=D$MeF*7}3^@R_4o1!x^m+O0 zFsPVg1qKLXVay(jk9I~wQO+gxSt`=~=7kxe6SNzPJGyV9kSOo+WQM3yqBAr& zx8g%!iNS;du1s5#`aS(g_NHCarp@D3wb#qOW)5T^)%j!HFmZw_mJ5u$-+IWX0YfD;z)3rN;=GlU#~3Z3aoL=v3)BmcOl5 z`abIv;{~pP=e}-GKO8OW+0Jh9s_yPIfFe$tjoZceQ%0w-C%F6AOSW2vW&U$SI=I&J zK7?FZAU|_iPmYYX>b)&V+sA=Kcq|m`q%B#eXpi4GYiu6=>YY>Ic_NivbIb1**z<(( z_Hm8AGOlp4F(3p*$K&+_)^q!puEo4h)JMunYc0}8V{rk51@fk-M I)oE`31CSY<(f|Me literal 4626 zcmZvg;Z9>$41~|`N_~{9NCLF`qc2dYQl)(W6p{deaFb0!fqnS4^Lei0dtrr^q8uN4 zJRaL8{qNsJ+qP3%v`ss-KlF3ezQn(a_G|k^pLhD%g~h3@+p10U_j}vx?_=0s$o@C| zEBkl(+Qr$WKL0v6+w0ycBKhuAXV_f!v5xINPS@=&?$34hyZ%kj=O;zqwI@aI`uMZn zN7`URXUX1Qm-fwljZf`=e2)lKkcVe-hrB0XaL6*eZi6bLUc4mQSsq=#@Hp06J z#4|;j1%KozxPM2bWGjl{8 zdcHx26M5v)ThKx=I}5LAI@l{lVu+t zPo*p84n}yLs0z>W19y1KNLaaE)CrFF!7<40)L47bhagD}AOI6JJyHYY`J1*;p4|=ncGesDeQ&Swxe^AHXFu6BSABe@;BC~)=T=s-`ly@CuENe_v*Q2M=Usc$ z{aKtlZ!`nKM_U!1}e)@1iKIR*) z;r1Xepn8?RkA5-_tLv}cnwj)Xf8X^SrIk6tCq2VlPJI&@D|F-y_%kb_ce=-Kv!5(E z=jTvm=1I0&RgOJ6oN%Q#?3wM`&`hZP9a;+XAMH7K`D0AJ2n)Ka_HrC$1yCywwl-0jcL4NHaEFa*|fa$ra2u3-QU@ zo4OQZ&QR(sw3-+XQE8?lk<3PEc`yI$dNwF8H@{`*kW<(bi97RiJhZV^zpvG0s35(P zy*q~rvGY3Rm8Z3#hNm}*ybHb2=boxWD>Y)h6uR+S%uHJsSg>Q+%FHeza&AtojE^?s zX=UWrDEjA%lEI#3i+1yDVx&JPDJ$+YXDxdoXzQ*0}T+tkplmB*Nq!>+g=A6KSE$-Kc zHy1dq2X_rN6}h%K_)^8ZZdXE9`+-Q#*&Nc5wPkDDvs*W+nYRndCM&-^JgpL|E#U`F zIb-)_eUG}y?M|MUi`bCKJZy~N7_*qkxc$JJGvyqvDgqwruFsCD5A%k%15wDdzO$8& z&u=8NpPU^P%e*_6dNnc)*t)zg+%H%Rb7j)`8ze6YI**q)+axC+wHczvg5F5&yA~iK zu4fU-f_-@8Ra#SU9-U!j^EtbXy7BE54zh2|6&7#dA>V*mvEqq-LRkyxhHm2}veX^- zBDpf1)8BVlRZXu4eDnR3+__n=QSMIr`ZJ}lN-kXmey4YzO;p#lUX{FxUduJ8w5Wn7$ud0&w4jUgYoRgFF P^F!GAe=(f6cE#KOaO$F4 diff --git a/test_etl_pipeline.py b/test_etl_pipeline.py new file mode 100644 index 000000000..d887766e4 --- /dev/null +++ b/test_etl_pipeline.py @@ -0,0 +1,176 @@ +""" +End-to-end test harness for the source-agnostic ETL pipeline. + +This script is the *execution evidence* required by the exam brief: it proves +that the standardized DataFrame produced by :class:`BibliometrixETL` lets the +assigned analytical functions run without crashing, regardless of the original +source database (Scopus, Dimensions, PubMed, Web of Science). + +For every source it: + +1. Runs the full ETL (Extract -> Transform -> Validate) and prints a short + schema report (row count, PY coverage, multi-value list lengths). +2. Wraps the resulting DataFrame in :class:`DataWrapper`, which mimics the + Shiny ``reactive.Value`` interface (``.get()`` / ``.set()``) that the + analytical functions expect — exactly how ``app.py`` calls them. +3. Invokes each of the three assigned analytical functions with the same + default arguments the dashboard uses, and reports PASS / FAIL. + +Run with: python test_etl_pipeline.py +""" + +import os +import sys +import traceback + +sys.path.insert(0, os.path.dirname(os.path.abspath(__file__))) + +from www.services.etl_pipeline import BibliometrixETL # noqa: E402 +from functions.get_annualproduction import get_annual_production # noqa: E402 +from functions.get_cocitation import get_co_citation # noqa: E402 +from functions.get_clusteringcoupling import get_clustering_coupling # noqa: E402 + + +class DataWrapper: + """Minimal stand-in for the Shiny ``reactive.Value`` object. + + The analytical functions in ``functions/`` are written to receive the + reactive value holder and call ``.get()`` on it (and sometimes ``.set()``). + In a headless test we replicate that contract with this tiny wrapper. + """ + + def __init__(self, dataframe): + self._dataframe = dataframe + + def get(self): + return self._dataframe + + def set(self, dataframe): + self._dataframe = dataframe + + +# (source_key, file_path, file_type) +SOURCES = [ + ("scopus", "sources/Scopus/Scopus.csv", ".csv"), + ("dimensions", "sources/Dimensions/Dimensions.xlsx", ".xlsx"), + ("pubmed", "sources/PubMed/pubmed-allergicrh-set.txt", ".txt"), + ("web_of_science", "sources/Web_of_Science/WoS.txt", ".txt"), +] + + +def _list_avg(series): + lengths = [len(x) for x in series if isinstance(x, list)] + return round(sum(lengths) / len(lengths), 2) if lengths else 0.0 + + +def schema_report(source, df): + py_filled = (df["PY"].astype(str).str.strip() != "").sum() + print(f" rows={len(df):<5} cols={df.shape[1]} " + f"PY_filled={py_filled}/{len(df)} " + f"AU_avg={_list_avg(df['AU'])} CR_avg={_list_avg(df['CR'])} " + f"DE_avg={_list_avg(df['DE'])}") + + +def _has_references(df): + """True if the dataset carries any cited-reference data (CR field).""" + if "CR" not in df.columns: + return False + return df["CR"].apply(lambda x: len(x) if isinstance(x, list) else 0).sum() > 0 + + +def run_assigned_functions(wrapped, df): + """Call the three assigned functions with the dashboard's default args. + + Co-citation and bibliographic coupling are computed *from cited references*. + Sources that do not export a reference list (PubMed, Dimensions) therefore + cannot produce these networks: we mark them N/A rather than FAIL, since the + brief only requires functions not to crash *when the raw data contains the + necessary underlying information*. + """ + outcomes = {} + refs_available = _has_references(df) + + # 1) get_annual_production(df_wrapper) + try: + get_annual_production(wrapped) + outcomes["get_annual_production"] = ("PASS", None) + except Exception: + outcomes["get_annual_production"] = ("FAIL", traceback.format_exc()) + + # 2) get_co_citation(...) — defaults taken from app.py's co-citation modal + if not refs_available: + outcomes["get_co_citation"] = ("N/A", "source has no cited-references (CR) data") + else: + try: + get_co_citation( + df=wrapped, field="CR", sep=";", + cocit_network_layout="auto", cocit_clustering_algorithm="walktrap", + cocit_repulsion=0.1, cocit_shape="dot", cocit_shadow="No", + cocit_curved="No", citlabelsize=2, citedgesize=2, + citlabel_cex="Yes", citNodes=50, cit_isolates="yes", citedges_min=2, + ) + outcomes["get_co_citation"] = ("PASS", None) + except Exception: + outcomes["get_co_citation"] = ("FAIL", traceback.format_exc()) + + # 3) get_clustering_coupling(...) — defaults taken from app.py's coupling modal + if not refs_available: + outcomes["get_clustering_coupling"] = ("N/A", "source has no cited-references (CR) data") + else: + try: + get_clustering_coupling( + wrapped, "documents", "CR", False, "local", "ID", 1, + 250, 5, 3, 0.3, 0, "walktrap", + ) + outcomes["get_clustering_coupling"] = ("PASS", None) + except Exception: + outcomes["get_clustering_coupling"] = ("FAIL", traceback.format_exc()) + + return outcomes + + +def main(): + etl = BibliometrixETL() + failures = [] + summary = [] + + for source, path, file_type in SOURCES: + print(f"\n{'=' * 70}\nSOURCE: {source}\n{'=' * 70}") + if not os.path.exists(path): + print(f" [skip] file not found: {path}") + continue + try: + df = etl.run(path, source, file_type) + except Exception: + print(f" [ETL FAILED]\n{traceback.format_exc()}") + failures.append((source, "ETL", traceback.format_exc())) + continue + + schema_report(source, df) + + outcomes = run_assigned_functions(DataWrapper(df), df) + for fn_name, (status, tb) in outcomes.items(): + note = f" ({tb})" if status == "N/A" else "" + print(f" {status:4} | {fn_name}{note}") + summary.append((source, fn_name, status)) + if status == "FAIL": + failures.append((source, fn_name, tb)) + + # Final summary + print(f"\n{'=' * 70}\nSUMMARY\n{'=' * 70}") + passed = sum(1 for _, _, s in summary if s == "PASS") + na = sum(1 for _, _, s in summary if s == "N/A") + failed = sum(1 for _, _, s in summary if s == "FAIL") + print(f" PASS={passed} N/A={na} FAIL={failed} (total {len(summary)})") + + if failures: + print(f"\n{'=' * 70}\nFAILURE DETAILS\n{'=' * 70}") + for source, fn_name, tb in failures: + print(f"\n----- {source} :: {fn_name} -----\n{tb}") + sys.exit(1) + + print("\nAll assigned analytical functions ran successfully on every source.") + + +if __name__ == "__main__": + main() diff --git a/www/services/__init__.py b/www/services/__init__.py index 28584e105..8bce11921 100644 --- a/www/services/__init__.py +++ b/www/services/__init__.py @@ -14,4 +14,8 @@ from .tabletag import * from .termextraction import * from .thematicmap import * -from .utils import * \ No newline at end of file +from .utils import * +from .etl_pipeline import * +from .column_mappings import * +from .validator import * +from .api_retriever import * \ No newline at end of file diff --git a/www/services/api_retriever.py b/www/services/api_retriever.py new file mode 100644 index 000000000..5f0c9a8de --- /dev/null +++ b/www/services/api_retriever.py @@ -0,0 +1,376 @@ +""" +Live API retrievers for the Bibliometrix ETL pipeline. + +This module exposes :class:`APIRetriever`, a thin client that queries two +external bibliographic databases and returns results as ``pandas.DataFrame`` +in the *raw* per-source format expected by the ETL pipeline (which then +normalises them through :mod:`column_mappings`): + +- **OpenAlex** (``https://api.openalex.org``) — paginated REST API + returning JSON. We reconstruct the inverted-index abstract, flatten + authors/affiliations/biblio, and stream pages with an exponential-backoff + retry budget on 429 and 5xx. +- **PubMed** (NCBI E-utilities ESearch + EFetch) — returns plain-text + MEDLINE format which we delegate to :func:`parsers.parse_pubmed_data` + via a temporary file. +""" + +import os +import re +import time +import logging +import tempfile +import requests +import pandas as pd +from typing import List, Dict, Any, Optional + +from .parsers import parse_pubmed_data + +logger = logging.getLogger(__name__) + +class APIRetriever: + """ + API client for OpenAlex and PubMed to dynamically retrieve bibliographic data. + + The retriever is stateless apart from an identifying email address + (recommended by both OpenAlex and the NCBI E-utilities for the + *polite pool*). All HTTP calls are made with a descriptive + ``User-Agent`` header to ease debugging if a request is rate-limited. + + Attributes: + email: Contact email forwarded as ``mailto=`` to OpenAlex and in + the User-Agent header. + headers: HTTP headers reused across every request issued by the + instance. + """ + def __init__(self, email: str = "user@example.com") -> None: + """ + Build a retriever identified by ``email``. + + Args: + email: Contact address used by OpenAlex/PubMed to route us + into the *polite pool* (higher rate-limit budget). A + placeholder is used if the caller does not set one. + """ + self.email: str = email + self.headers: Dict[str, str] = { + "User-Agent": f"BibliometrixPythonETL/1.0 (mailto:{self.email})" + } + + def _reconstruct_openalex_abstract(self, inverted_index: Optional[Dict[str, List[int]]]) -> str: + """ + Reassemble a textual abstract from OpenAlex's ``abstract_inverted_index``. + + OpenAlex distributes abstracts as a mapping + ``{word: [position1, position2, ...]}`` instead of plain text + (it sidesteps publisher copyright on the literal abstract). We + invert that mapping back into a single string, ordered by + position. + + Args: + inverted_index: The raw ``abstract_inverted_index`` payload + returned by OpenAlex, or ``None`` when no abstract is + available. + + Returns: + The reconstructed abstract as a space-separated string, or + an empty string when the input is missing/malformed or any + unexpected error occurs during reconstruction. + """ + if not inverted_index or not isinstance(inverted_index, dict): + return "" + try: + word_positions = [] + for word, positions in inverted_index.items(): + for pos in positions: + word_positions.append((pos, word)) + word_positions.sort() + return " ".join([word for pos, word in word_positions]) + except Exception: + return "" + + def query_openalex(self, query: str, max_results: int = 100) -> pd.DataFrame: + """ + Query the OpenAlex ``/works`` endpoint and return raw bibliographic rows. + + Pages are streamed 100 rows at a time (the API maximum per page). + For each work we extract a flat row whose columns mirror the keys + expected by ``COLUMN_MAPPINGS["openalex"]``: ``id``, ``title``, + ``abstract``, ``publication_year``, ``doi``, ``type``, + ``cited_by_count``, ``authors``, ``author_full_names``, + ``affiliations``, ``journal``, ``keywords``, ``references``, + ``volume``, ``issue``, ``first_page``, ``last_page``, ``pmid``. + + Multi-value fields (authors, affiliations, references, keywords) + are joined with ``"; "`` so they round-trip as strings; the ETL + layer is responsible for splitting them back into lists. + + Reliability: + - HTTP 429 (rate-limited) and 5xx are retried with exponential + backoff (1, 2, 4, 8, 16 s capped at 30 s). + - Up to ``MAX_RETRIES_PER_PAGE = 5`` consecutive transient + failures are tolerated per page; afterwards the loop exits + gracefully and we return whatever rows we already collected. + - Network-level :class:`requests.exceptions.RequestException` + is handled by the same retry budget. + - Any other exception (e.g. JSON decode error) ends the loop + without dropping already-fetched rows. + + Args: + query: Free-text search string (the same string accepted by + the OpenAlex web UI). + max_results: Maximum number of rows to return. Pagination + stops once this limit is reached; ``100`` is the default + soft cap. + + Returns: + ``pandas.DataFrame`` with one row per work. Empty DataFrame + if no results were found. + """ + url = "https://api.openalex.org/works" + params = { + "search": query, + "per_page": min(max_results, 100), + "page": 1 + } + if self.email: + params["mailto"] = self.email + + results = [] + fetched = 0 + # Retry budget per page: how many consecutive transient failures + # (429, 5xx, timeouts) we tolerate before giving up on that page. + MAX_RETRIES_PER_PAGE = 5 + retries = 0 + + while fetched < max_results: + try: + response = requests.get(url, params=params, headers=self.headers, timeout=15) + + # Transient: rate limited. Back off with exponential delay, + # capped by the retry budget so we never loop forever. + if response.status_code == 429: + if retries >= MAX_RETRIES_PER_PAGE: + logger.warning( + "OpenAlex: rate-limit retry budget exhausted on page %s; stopping with %d results.", + params['page'], fetched, + ) + break + sleep_s = min(2 ** retries, 30) + retries += 1 + time.sleep(sleep_s) + continue + + # Transient: server error. Retry the same page within budget. + if 500 <= response.status_code < 600: + if retries >= MAX_RETRIES_PER_PAGE: + logger.warning( + "OpenAlex: 5xx retry budget exhausted on page %s; stopping with %d results.", + params['page'], fetched, + ) + break + sleep_s = min(2 ** retries, 30) + retries += 1 + time.sleep(sleep_s) + continue + + response.raise_for_status() + # Successful response → reset the retry counter for the next page. + retries = 0 + data = response.json() + + works = data.get("results", []) + if not works: + break + + for work in works: + # Extract authors (full names and initials) + authors_list = [] + authors_full = [] + affiliations_list = [] + + for auth in work.get("authorships", []): + display_name = auth.get("author", {}).get("display_name", "") + if display_name: + authors_full.append(display_name) + # Format to initials: Surname I. + parts = display_name.split() + if len(parts) > 1: + surname = parts[-1] + initials = "".join([p[0] + "." for p in parts[:-1]]) + authors_list.append(f"{surname} {initials}") + else: + authors_list.append(display_name) + + # Affiliations + for inst in auth.get("institutions", []): + inst_name = inst.get("display_name", "") + if inst_name and inst_name not in affiliations_list: + affiliations_list.append(inst_name) + + # Extract publication venue + journal_name = "" + volume = "" + issue = "" + first_page = "" + last_page = "" + + loc = work.get("primary_location", {}) or {} + source = loc.get("source", {}) or {} + journal_name = source.get("display_name", "") or "" + + biblio = work.get("biblio", {}) or {} + volume = biblio.get("volume", "") or "" + issue = biblio.get("issue", "") or "" + first_page = biblio.get("first_page", "") or "" + last_page = biblio.get("last_page", "") or "" + + # Keywords from concepts + concepts = work.get("concepts", []) or [] + keywords = [c.get("display_name", "") for c in concepts if c.get("display_name")] + + # Extract PMID and DOI + ids = work.get("ids", {}) or {} + pmid = ids.get("pmid", "") + if pmid: + pmid = str(pmid).replace("https://pubmed.ncbi.nlm.nih.gov/", "") + + doi = work.get("doi", "") + if doi: + doi = str(doi).replace("https://doi.org/", "") + + # Cited references list + referenced_works = work.get("referenced_works", []) or [] + + work_flat = { + "id": work.get("id", ""), + "title": work.get("title", ""), + "abstract": self._reconstruct_openalex_abstract(work.get("abstract_inverted_index")), + "publication_year": str(work.get("publication_year", "")), + "doi": doi, + "type": work.get("type", ""), + "cited_by_count": work.get("cited_by_count", 0), + "authors": "; ".join(authors_list), + "author_full_names": "; ".join(authors_full), + "affiliations": "; ".join(affiliations_list), + "journal": journal_name, + "keywords": "; ".join(keywords), + "references": "; ".join(referenced_works), + "volume": str(volume), + "issue": str(issue), + "first_page": str(first_page), + "last_page": str(last_page), + "pmid": pmid, + } + results.append(work_flat) + fetched += 1 + if fetched >= max_results: + break + + params["page"] += 1 + # Respect rate limits politely + time.sleep(0.2) + + except requests.exceptions.RequestException as e: + # Network-level transient error (timeout, connection reset). + # Retry within the same budget so we don't drop already-fetched rows. + if retries >= MAX_RETRIES_PER_PAGE: + logger.warning( + "OpenAlex: network retry budget exhausted (%s); stopping with %d results.", + e, fetched, + ) + break + sleep_s = min(2 ** retries, 30) + retries += 1 + time.sleep(sleep_s) + continue + except Exception: + # Non-transient (e.g. JSON decode error on a malformed page). + # Stop the loop but keep whatever results we have collected. + logger.exception("Error querying OpenAlex API") + break + + return pd.DataFrame(results) + + def query_pubmed(self, query: str, max_results: int = 100) -> pd.DataFrame: + """ + Query PubMed via NCBI E-utilities and return one row per article. + + The retrieval is a two-step process: + + 1. **ESearch** — translate the textual ``query`` into a list of + PMIDs (up to ``max_results``). + 2. **EFetch** — download the matching records in plain-text + MEDLINE format. The MEDLINE blob is then written to a + system-temp file and parsed by + :func:`parsers.parse_pubmed_data`, which already knows how to + normalise PubMed records into the dashboard schema. + + The temp file uses :func:`tempfile.mkstemp` (CWD-independent and + race-free across concurrent users) and is deleted in a + ``finally`` block so we never leave artefacts on disk. + + Args: + query: Free-text PubMed query (the same syntax as + ``https://pubmed.ncbi.nlm.nih.gov``). + max_results: Cap on the number of PMIDs to fetch. Defaults + to ``100``. + + Returns: + ``pandas.DataFrame`` with PubMed records, or an empty + DataFrame if ESearch/EFetch fail or no articles match. + """ + esearch_url = "https://eutils.ncbi.nlm.nih.gov/entrez/eutils/esearch.fcgi" + efetch_url = "https://eutils.ncbi.nlm.nih.gov/entrez/eutils/efetch.fcgi" + + # 1. ESearch to retrieve IDs + search_params = { + "db": "pubmed", + "term": query, + "retmode": "json", + "retmax": max_results + } + + try: + response = requests.get(esearch_url, params=search_params, headers=self.headers, timeout=15) + response.raise_for_status() + search_data = response.json() + id_list = search_data.get("esearchresult", {}).get("idlist", []) + except Exception: + logger.exception("Error searching PubMed") + return pd.DataFrame() + + if not id_list: + logger.warning("No articles found on PubMed for the query: %r", query) + return pd.DataFrame() + + # 2. EFetch to retrieve MEDLINE text for the IDs + fetch_params = { + "db": "pubmed", + "id": ",".join(id_list), + "retmode": "text", + "rettype": "medline" + } + + try: + fetch_response = requests.post(efetch_url, data=fetch_params, headers=self.headers, timeout=20) + fetch_response.raise_for_status() + medline_text = fetch_response.text + except Exception: + logger.exception("Error fetching MEDLINE data from PubMed") + return pd.DataFrame() + + # 3. Save the MEDLINE text to a *system* temporary file so that + # concurrent API queries cannot race on the same path and so that + # the file lives in a CWD-independent location. + fd, temp_file_path = tempfile.mkstemp(suffix=".txt", prefix="pubmed_api_") + try: + with os.fdopen(fd, "w", encoding="utf-8") as f: + f.write(medline_text) + parsed_records = parse_pubmed_data(temp_file_path) + finally: + if os.path.exists(temp_file_path): + os.remove(temp_file_path) + + # Convert list of dicts to DataFrame + return pd.DataFrame(parsed_records) diff --git a/www/services/biblionetwork.py b/www/services/biblionetwork.py index 7e65b4880..723bf3e11 100644 --- a/www/services/biblionetwork.py +++ b/www/services/biblionetwork.py @@ -5,6 +5,18 @@ def biblionetwork(M, analysis="coupling", network="authors", n=None, sep=";", short=False, shortlabel=True, remove_terms=None, synonyms=None): def crossprod(A, B): + # Guard against an empty field: cocMatrix returns None when the + # requested field (e.g. CR cited references) is absent/empty in the + # dataset. Raise a clear, user-facing message instead of letting the + # cryptic "'NoneType' object has no attribute 'T'" bubble up. The + # dashboard's try/except shows this text to the user. + if A is None or B is None: + raise ValueError( + "This analysis requires data that is not present in the loaded dataset " + f"(the '{network}' field is empty). For example, PubMed and Dimensions " + "exports usually do not include the cited-references list needed for " + "co-citation/coupling networks." + ) return A.T @ B # Moltiplicazione matriciale per ottenere il prodotto incrociato NetMatrix = None @@ -16,7 +28,9 @@ def crossprod(A, B): CRA = crossprod(WCR, WA) NetMatrix = crossprod(CRA, CRA) elif network == "references": - WCR = cocMatrix(M, Field="CR", type="sparse", n=n, sep=sep, short=short).T + WCR = cocMatrix(M, Field="CR", type="sparse", n=n, sep=sep, short=short) + # Transpose only if present; crossprod() raises a clear message if None. + WCR = WCR.T if WCR is not None else None NetMatrix = crossprod(WCR, WCR) elif network == "sources": WSO = cocMatrix(M, Field="SO", type="sparse", n=n, sep=sep, short=short) diff --git a/www/services/column_mappings.py b/www/services/column_mappings.py new file mode 100644 index 000000000..9c3629f57 --- /dev/null +++ b/www/services/column_mappings.py @@ -0,0 +1,176 @@ +""" +Centralised column-rename tables that map every supported source schema +onto the canonical Web of Science (WoS) tag set used by the dashboard. + +Each top-level key in :data:`COLUMN_MAPPINGS` is the lower-case name of +a supported database (``"scopus"``, ``"pubmed"``, ``"openalex"``, …) and +each inner mapping has the shape ``{source_column_name: wos_tag}``. The +ETL pipeline (see :func:`etl_pipeline.BibliometrixETL.run`) selects the +mapping from this dict by the user-supplied ``database`` argument and +then renames columns in a single ``df.rename(columns=...)`` pass. + +Canonical WoS tags used as targets include: + +- Identifiers: ``UT``, ``DI``, ``PMID``, ``SN`` +- Content: ``TI``, ``AB``, ``DE`` (author keywords), ``ID`` (index keywords) +- Authorship: ``AU`` (surname), ``AF`` (full names), ``C1`` (affiliations), + ``RP`` (reprint address) +- Venue: ``SO`` (source title), ``JI`` (abbreviated journal), ``PY`` (year), + ``VL`` (volume), ``IS`` (issue), ``BP`` (begin page), ``EP`` (end page) +- Bibliometrics: ``TC`` (times cited), ``CR`` (cited references), ``DT`` + (document type), ``LA`` (language), ``PU`` (publisher), ``FU``/``FX`` + (funding) +- Special tokens used by post-processing: ``"Pagination"`` is a *temporary* + placeholder for sources (Dimensions, PubMed) where ``BP`` and ``EP`` + are merged into a single column and must be split downstream. + +Adding support for a new source therefore reduces to appending a new +sub-dictionary here — no other module needs to be changed. +""" + +from typing import Dict + +COLUMN_MAPPINGS: Dict[str, Dict[str, str]] = { + 'web_of_science': { + 'AB': 'AB', + 'AF': 'AF', + 'AU': 'AU', + 'BP': 'BP', + 'C1': 'C1', + 'CR': 'CR', + 'DE': 'DE', + 'DI': 'DI', + 'DT': 'DT', + 'EM': 'EM', + 'EP': 'EP', + 'FU': 'FU', + 'FX': 'FX', + 'ID': 'ID', + 'IS': 'IS', + 'JI': 'JI', + 'LA': 'LA', + 'PM': 'PMID', + 'PY': 'PY', + 'RP': 'RP', + 'SN': 'SN', + 'SO': 'SO', + 'TC': 'TC', + 'TI': 'TI', + 'UT': 'UT', + 'VL': 'VL', + }, + 'scopus': { + 'Abstract': 'AB', + 'Author full names': 'AF', + 'Authors': 'AU', + 'References': 'CR', + 'Affiliations': 'C1', + 'Author Keywords': 'DE', + 'Index Keywords': 'ID', + 'DOI': 'DI', + 'Document Type': 'DT', + 'Correspondence Address': 'RP', + 'Source title': 'SO', + 'Year': 'PY', + 'Cited by': 'TC', + 'Title': 'TI', + 'EID': 'UT', + 'Volume': 'VL', + 'Issue': 'IS', + 'Page start': 'BP', + 'Page end': 'EP', + 'PubMed ID': 'PMID', + 'Publisher': 'PU', + 'ISSN': 'SN', + 'Language of Original Document': 'LA', + }, + 'dimensions': { + 'Abstract': 'AB', + 'Authors': 'AU', + 'Authors (Raw Affiliation)': 'C1', # Requires regex/special extraction + 'MeSH terms': 'DE', + 'DOI': 'DI', + 'PubYear': 'PY', + 'Publication Type': 'DT', + 'Corresponding Authors': 'RP', + 'Source title': 'SO', + 'Times cited': 'TC', + 'Title': 'TI', + 'Publication ID': 'UT', + 'Volume': 'VL', + 'Issue': 'IS', + 'Pagination': 'Pagination', # Requires splitting into BP and EP + 'PMID': 'PMID', + 'Funding': 'FU', + 'Acknowledgements': 'FX', + }, + 'lens': { + 'Abstract': 'AB', + 'Author/s': 'AU', + 'Keywords': 'DE', + 'DOI': 'DI', + 'Publication Type': 'DT', + 'Publication Year': 'PY', + 'Source Title': 'SO', + 'Citing Works Count': 'TC', + 'Title': 'TI', + 'Lens ID': 'UT', + 'Volume': 'VL', + 'Issue': 'IS', + 'Start Page': 'BP', + 'End Page': 'EP', + 'PMID': 'PMID', + 'Funding': 'FU', + 'ISSNs': 'SN', + 'Open Access Colour': 'OA', + }, + 'pubmed': { + 'AB': 'AB', + 'FAU': 'AF', + 'AU': 'AU', + 'AD': 'C1', + 'MH': 'DE', + 'LID': 'DI', + 'PT': 'DT', + 'JT': 'SO', + 'DP': 'PY', + 'TI': 'TI', + 'PMID': 'UT', + 'VI': 'VL', + 'IP': 'IS', + 'PG': 'Pagination', + 'GR': 'FU', + 'TA': 'JI', + }, + 'cochrane': { + 'AB': 'AB', + 'AU': 'AU', + 'KY': 'DE', + 'DOI': 'DI', + 'SO': 'SO', + 'YR': 'PY', + 'TI': 'TI', + 'ID': 'UT', + 'SN': 'SN', + }, + 'openalex': { + 'id': 'UT', + 'title': 'TI', + 'abstract': 'AB', + 'publication_year': 'PY', + 'doi': 'DI', + 'type': 'DT', + 'cited_by_count': 'TC', + 'authors': 'AU', + 'author_full_names': 'AF', + 'affiliations': 'C1', + 'journal': 'SO', + 'keywords': 'DE', + 'references': 'CR', + 'volume': 'VL', + 'issue': 'IS', + 'first_page': 'BP', + 'last_page': 'EP', + 'pmid': 'PMID', + } +} diff --git a/www/services/etl_pipeline.py b/www/services/etl_pipeline.py new file mode 100644 index 000000000..b0654a899 --- /dev/null +++ b/www/services/etl_pipeline.py @@ -0,0 +1,768 @@ +""" +Source-agnostic ETL pipeline for the Bibliometrix dashboard. + +This is the *core* module of the project. It accepts bibliographic +records from any of seven supported databases — Web of Science, Scopus, +Dimensions, Lens, PubMed, Cochrane, OpenAlex — and emits a single +DataFrame that conforms to the canonical Web of Science schema expected +by the rest of the dashboard. After the user picks a database in the +UI, every subsequent visualisation tab reads the *same* normalised +DataFrame: the visualisation code is decoupled from the original source +format. + +The pipeline is organised in five named phases: + +1. **Extract** (:meth:`BibliometrixETL.extract`) — load the raw file + from disk and turn it into a DataFrame. Each source has its own + parser (CSV via :func:`_read_csv_safe`, Excel via + :func:`pandas.read_excel`, plain text via :mod:`parsers`, BibTeX via + :class:`bibtexparser.bparser.BibTexParser`). +2. **Transform** (:meth:`BibliometrixETL.transform`) — rename columns + per :data:`column_mappings.COLUMN_MAPPINGS`, split merged ``Pagination`` + fields, compute the *Short Reference* (``SR``) tag, resolve duplicate + columns produced by aliased mappings, apply type contracts, and + convert multi-value columns into ``list[str]``. +3. **Validate** (:meth:`BibliometrixETL.validate`) — delegate to + :func:`validator.validate_dataframe` which fails fast if the schema + contract is violated. +4. **Run** (:meth:`BibliometrixETL.run`) — orchestrate phases 1-3 for + a file-based input. +5. **Run via API** (:meth:`BibliometrixETL.run_api`) — same as + :meth:`run` but the Extract phase is replaced by a live call to + :class:`api_retriever.APIRetriever`. + +Defensive helpers (:func:`is_null`, :func:`_read_csv_safe`, +:func:`_open_text_safe`) are kept at module level so they can be +unit-tested independently of the orchestrator class. +""" + +import os +import re +import io +import logging +import pandas as pd +import numpy as np +from typing import Union, List, Dict, Any + +# Import local modules +from .parsers import parse_wos_data, parse_pubmed_data, parse_cochrane_data +from .column_mappings import COLUMN_MAPPINGS +from .validator import validate_dataframe, MANDATORY_COLUMNS, MULTIVALUE_COLUMNS +from .api_retriever import APIRetriever + +logger = logging.getLogger(__name__) + +# Attempt to import bibtexparser (should be installed via requirements.txt) +try: + from bibtexparser.bparser import BibTexParser +except ImportError: + BibTexParser = None + + +def is_null(val: Any) -> bool: + """ + Container-safe null check used throughout the ETL. + + The standard :func:`pandas.isna` raises ``ValueError`` (or returns + a boolean array) when called on a list, tuple, ``ndarray`` or + ``Series``. The ETL frequently inspects heterogeneous cells (a + column may contain a mix of strings, ``NaN``, and Python lists + produced by previous transform steps), so we wrap :func:`pd.isna` + with explicit handling for containers. + + Containers are *never* considered null even when empty: an empty + list still represents a structurally valid (albeit value-less) + multi-value cell, and the downstream validator distinguishes + "missing column" from "empty list" intentionally. + + Args: + val: Any value, scalar or container. + + Returns: + ``True`` if ``val`` is :data:`None` or a scalar NaN. + ``False`` for containers (``list``, ``tuple``, ``dict``, + ``set``, ``numpy.ndarray``, ``pandas.Series``) and for any + non-null scalar. + """ + if val is None: + return True + if isinstance(val, (list, tuple, dict, set, np.ndarray, pd.Series)): + return False + return pd.isna(val) + + +# Encodings tried in order when a source file is not valid UTF-8. latin-1 +# is kept last because it cannot fail (it maps every byte to a codepoint), +# so it acts as the universal fallback. +_ENCODING_FALLBACKS = ("utf-8", "utf-8-sig", "cp1252", "latin-1") + +# Placeholder tokens (case-insensitive) that legacy exports use in place +# of a real missing value. We treat them as null during cleaning so that +# the validator's type contracts see uniform "" / [] / 0 rather than the +# literal strings "nan" / "null" / "none". A frozenset is used for O(1) +# membership lookup; the contents are matched against `.strip().lower()`. +_NULL_STRINGS = frozenset({"nan", "null", "none", ""}) + + +def _read_csv_safe(path: str, **kwargs: Any) -> pd.DataFrame: + """ + :func:`pandas.read_csv` wrapper with an encoding fallback chain. + + Reads ``path`` trying each encoding in :data:`_ENCODING_FALLBACKS` + in order. Real-world exports are unfortunately not always UTF-8: + + - Scopus and Dimensions exports created on Windows locales are + typically ``cp1252``. + - Legacy PubMed dumps occasionally ship as ``latin-1``. + + ``latin-1`` is positioned last because it physically cannot fail + (every byte maps to a valid codepoint), so by the time we reach it + the function is guaranteed to return. + + Args: + path: Filesystem path to the CSV file. + **kwargs: Forwarded verbatim to :func:`pandas.read_csv` + (e.g. ``skiprows``, ``sep``, ``dtype``). + + Returns: + The parsed :class:`pandas.DataFrame`. + + Raises: + UnicodeDecodeError: Only if every encoding in the fallback + chain rejects the file, which in practice cannot happen + because ``latin-1`` accepts arbitrary byte sequences. + """ + last_exc = None + for enc in _ENCODING_FALLBACKS: + try: + return pd.read_csv(path, encoding=enc, **kwargs) + except UnicodeDecodeError as exc: + last_exc = exc + continue + raise last_exc if last_exc else UnicodeDecodeError("utf-8", b"", 0, 0, "unknown") + + +def _open_text_safe(path: str) -> str: + """ + Read a text file as a single string, trying multiple encodings. + + Mirrors :func:`_read_csv_safe` but for the plain-text parsers + (WoS, PubMed, Cochrane, BibTeX). Returns the decoded file content; + same fallback rationale as :func:`_read_csv_safe`. + + Args: + path: Filesystem path to a text file. + + Returns: + The decoded file content. + + Raises: + UnicodeDecodeError: Only if every encoding in the fallback + chain rejects the file (effectively unreachable thanks to + the ``latin-1`` fallback). + """ + last_exc = None + for enc in _ENCODING_FALLBACKS: + try: + with open(path, "r", encoding=enc) as f: + return f.read() + except UnicodeDecodeError as exc: + last_exc = exc + continue + raise last_exc if last_exc else UnicodeDecodeError("utf-8", b"", 0, 0, "unknown") + + +class BibliometrixETL: + """ + Orchestrator for the source-agnostic bibliographic ETL pipeline. + + Mirrors the role played by R's ``convert2df`` in the original + ``bibliometrix`` package: it exposes a single entry point + (:meth:`run` for files, :meth:`run_api` for live queries) and + sequences the Extract → Transform → Validate phases internally. + + The class is intentionally lightweight — it holds only a reference + to :data:`column_mappings.COLUMN_MAPPINGS` and is safe to + instantiate per-request from the Shiny server function. + + Attributes: + mappings: Reference to :data:`COLUMN_MAPPINGS`; held as an + instance attribute so subclasses or tests can inject a + custom mapping table without monkey-patching the module. + """ + def __init__(self) -> None: + """Initialise the orchestrator with the default column mappings.""" + self.mappings: Dict[str, Dict[str, str]] = COLUMN_MAPPINGS + + def extract(self, data_path: str, source_db: str, file_type: str) -> pd.DataFrame: + """ + Phase 1 — load raw bibliographic data from disk into a DataFrame. + + Dispatches to the appropriate parser based on + ``(source_db, file_type)``: + + ============ ===================== =========================== + Source Supported file types Parser + ============ ===================== =========================== + WoS ``.txt``, ``.ciw`` :func:`parsers.parse_wos_data` + WoS ``.bib`` :class:`BibTexParser` + Scopus ``.csv`` :func:`_read_csv_safe` + Scopus ``.bib`` :class:`BibTexParser` + Dimensions ``.xlsx`` :func:`pandas.read_excel` + Dimensions ``.csv`` :func:`_read_csv_safe` (skiprows=1) + Lens ``.csv`` :func:`_read_csv_safe` + PubMed ``.txt`` :func:`parsers.parse_pubmed_data` + Cochrane ``.txt`` :func:`parsers.parse_cochrane_data` + ============ ===================== =========================== + + Column names of the returned DataFrame are stripped of + whitespace as a basic cleanup; no other normalisation happens + in this phase. + + Args: + data_path: Absolute path to the source file. + source_db: Source database identifier. Case-insensitive; + aliases ``"wos"`` and ``"the_lens"`` are accepted in + addition to the canonical ``"web_of_science"`` / + ``"lens"``. + file_type: File extension, with or without the leading + dot. + + Returns: + A *raw* :class:`pandas.DataFrame` whose columns still use + the source's native field names. Normalisation happens in + :meth:`transform`. + + Raises: + FileNotFoundError: If ``data_path`` does not exist. + ValueError: If the database/file-type combination is not + supported, or if the parsed DataFrame is empty. + ImportError: If a ``.bib`` file is requested but + ``bibtexparser`` is not installed. + """ + source_db_key = source_db.lower().strip() + # Normalise key names to match COLUMN_MAPPINGS keys + if source_db_key == "wos": + source_db_key = "web_of_science" + elif source_db_key == "lens": + source_db_key = "lens" + + file_type = file_type.lower().strip() + if not file_type.startswith('.'): + file_type = '.' + file_type + + # Check file existence + if not os.path.exists(data_path): + raise FileNotFoundError(f"Source file not found: {data_path}") + + raw_entries: List[Dict[str, Any]] = [] + df_raw: pd.DataFrame = pd.DataFrame() + + # Web of Science (wos) + if source_db_key == "web_of_science": + if file_type == ".bib": + if BibTexParser is None: + raise ImportError("bibtexparser is not installed. Please install it to parse .bib files.") + bib_parser = BibTexParser() + bib_text = _open_text_safe(data_path) + bib_data = bib_parser.parse(bib_text) + raw_entries = bib_data.entries + df_raw = pd.DataFrame(raw_entries) + elif file_type in (".txt", ".ciw"): + raw_entries = parse_wos_data(data_path) + df_raw = pd.DataFrame(raw_entries) + else: + raise ValueError(f"Unsupported file type '{file_type}' for Web of Science source.") + + # Scopus + elif source_db_key == "scopus": + if file_type == ".bib": + if BibTexParser is None: + raise ImportError("bibtexparser is not installed. Please install it to parse .bib files.") + bib_parser = BibTexParser() + bib_text = _open_text_safe(data_path) + bib_data = bib_parser.parse(bib_text) + raw_entries = bib_data.entries + df_raw = pd.DataFrame(raw_entries) + elif file_type == ".csv": + df_raw = _read_csv_safe(data_path) + else: + raise ValueError(f"Unsupported file type '{file_type}' for Scopus source.") + + # Dimensions + elif source_db_key == "dimensions": + if file_type == ".xlsx": + df_raw = pd.read_excel(data_path, skiprows=1) + elif file_type == ".csv": + df_raw = _read_csv_safe(data_path, skiprows=1) + else: + raise ValueError(f"Unsupported file type '{file_type}' for Dimensions source.") + + # Lens.org + elif source_db_key in ("lens", "the_lens"): + if file_type == ".csv": + df_raw = _read_csv_safe(data_path) + else: + raise ValueError(f"Unsupported file type '{file_type}' for Lens source.") + + # PubMed + elif source_db_key == "pubmed": + if file_type == ".txt": + raw_entries = parse_pubmed_data(data_path) + df_raw = pd.DataFrame(raw_entries) + else: + raise ValueError(f"Unsupported file type '{file_type}' for PubMed source.") + + # Cochrane + elif source_db_key == "cochrane": + if file_type == ".txt": + raw_entries = parse_cochrane_data(data_path) + df_raw = pd.DataFrame(raw_entries) + else: + raise ValueError(f"Unsupported file type '{file_type}' for Cochrane source.") + + else: + raise ValueError(f"Unknown database source '{source_db}'") + + if df_raw.empty: + raise ValueError(f"Extracted data is empty for file: {data_path}") + + # Basic cleanup: strip column names + df_raw.columns = [str(col).strip() for col in df_raw.columns] + return df_raw + + def transform(self, df_raw: pd.DataFrame, source_db: str, file_type: str, author_format: str = "surname") -> pd.DataFrame: + """ + Phases 2-3 — normalise the raw DataFrame into the canonical WoS schema. + + Executed in this order: + + 1. **Pre-processing.** Dimensions-specific extraction of + ``C1`` (affiliations) from the raw authors string; split of + merged ``Pagination`` fields into ``BP`` / ``EP`` for + Dimensions and PubMed. + 2. **SR computation.** A *Short Reference* (``SR``) is built + for every row by calling + :func:`format_functions.format_sr_column`. Missing fields + are coerced to empty strings before the call to avoid + ``AttributeError`` on float-NaN cells. + 3. **Column renaming.** A single + :meth:`pandas.DataFrame.rename` call applies the + source-specific mapping from :data:`COLUMN_MAPPINGS`. + 4. **Duplicate-column resolution.** If two source columns + rename to the same WoS tag, multi-value columns are + merged element-wise and scalar columns take the first + non-null, non-placeholder value. + 5. **Column presence.** Any mandatory WoS tag still missing + is initialised with ``""`` (scalar) or ``[]`` (multi-value). + 6. **Type contracts.** Scalar columns are coerced to stripped + strings; ``PY`` to a 4-digit year string; ``TC`` to an + integer (defaulting to 0); multi-value columns to + ``list[str]`` using a source-dependent delimiter. + 7. **Author format.** Drops the column not selected by + ``author_format`` and trims the schema down to exactly the + mandatory columns. + + Args: + df_raw: DataFrame returned by :meth:`extract`. + source_db: Same identifier passed to :meth:`extract`. + file_type: Same identifier passed to :meth:`extract`. + author_format: ``"surname"`` keeps ``AU`` and drops + ``AF``; ``"fullname"`` does the opposite. Defaults to + ``"surname"``. + + Returns: + A schema-compliant :class:`pandas.DataFrame` ready for + :meth:`validate`. + + Raises: + ValueError: If no column mapping exists for ``source_db``. + """ + # 1. Normalise database source name + source_db_key = source_db.lower().strip() + if source_db_key == "wos": + source_db_key = "web_of_science" + elif source_db_key == "lens": + source_db_key = "lens" + + mapping = self.mappings.get(source_db_key, {}) + if not mapping: + raise ValueError(f"No column mappings found for database source: {source_db}") + + df = df_raw.copy() + + # 2. Database-specific pre-processing before column renaming + # Extract C1 (Affiliations) for Dimensions from raw authors string if applicable + if source_db_key == "dimensions" and "Authors (Raw Affiliation)" in df.columns: + # Save Raw Affiliation extraction so we can map it to C1 + df["C1_extracted"] = df["Authors (Raw Affiliation)"].apply( + lambda val: "; ".join(re.findall(r'\((.*?)\)', str(val))) if pd.notna(val) else "" + ) + # Override mapping for dimensions C1 to map to our extracted helper column + mapping = mapping.copy() + if "Authors (Raw Affiliation)" in mapping: + del mapping["Authors (Raw Affiliation)"] + mapping["C1_extracted"] = "C1" + + # Split Pagination into BP and EP for Dimensions and PubMed if present + if "Pagination" in mapping and mapping["Pagination"] in df.columns: + pag_col = mapping["Pagination"] + def get_bp(val: Any) -> str: + """Return the begin-page portion of a ``"123-456"`` pagination string.""" + if is_null(val): return "" + if isinstance(val, (list, tuple, np.ndarray, pd.Series)): + val = val[0] if len(val) > 0 else "" + parts = re.split(r'[-–—]', str(val)) + return parts[0].strip() if len(parts) > 0 else "" + def get_ep(val: Any) -> str: + """Return the end-page portion of a ``"123-456"`` pagination string.""" + if is_null(val): return "" + if isinstance(val, (list, tuple, np.ndarray, pd.Series)): + val = val[0] if len(val) > 0 else "" + parts = re.split(r'[-–—]', str(val)) + return parts[1].strip() if len(parts) > 1 else "" + + df["BP"] = df[pag_col].apply(get_bp) + df["EP"] = df[pag_col].apply(get_ep) + + # 3. Calculate Short Reference (SR) using the codebase's existing function format_sr_column + # To call format_sr_column, we must pass the row as a dictionary, the source, and file_type. + # But format_sr_column expects source name formatted as in format_functions (e.g. 'Web_of_Science', 'Scopus' etc.) + source_db_fmt = { + "web_of_science": "Web_of_Science", + "scopus": "Scopus", + "dimensions": "Dimensions", + "lens": "The_Lens", + "pubmed": "PubMed", + "cochrane": "Cochrane" + }.get(source_db_key, source_db) + + # Ensure correct file type format for format_sr_column (starts with .) + ft = file_type.lower().strip() + if not ft.startswith('.'): + ft = '.' + ft + + def compute_sr_row(row: pd.Series) -> str: + """ + Compute the Short Reference (``SR``) for a single DataFrame row. + + Delegates the heavy lifting to + :func:`format_functions.format_sr_column` but sanitises the + row first: NaN/None values are coerced to ``""`` because + ``format_sr_column`` calls ``.split()`` on its inputs and + would otherwise crash on float-NaN cells (common in + PubMed/Dimensions when the author or journal is missing). + Any unexpected error is swallowed with a warning so that + SR computation can never abort the whole pipeline. + """ + try: + from .format_functions import format_sr_column + row_dict = { + k: ("" if (v is None or (isinstance(v, float) and pd.isna(v))) else v) + for k, v in row.to_dict().items() + } + return format_sr_column(row_dict, source_db_fmt, ft) + except Exception: + # Last-resort fallback: never let SR computation crash the pipeline. + logger.warning("format_sr_column failed for row", exc_info=True) + return "" + + df["SR"] = df.apply(compute_sr_row, axis=1) + + # 4. Rename columns according to mapping + df = df.rename(columns=mapping) + + # Resolve duplicate columns if any exist + if df.columns.duplicated().any(): + dup_cols = df.columns[df.columns.duplicated()].unique() + for col in dup_cols: + col_df = df[col] + if isinstance(col_df, pd.DataFrame): + # Combine columns row-wise + if col in MULTIVALUE_COLUMNS: + def merge_rows(row: pd.Series) -> List[str]: + """ + Merge duplicate multi-value columns into a single ``list[str]``. + + Iterates the duplicate-column slice of one row, + flattening any container values and splitting + semicolon-joined strings; null/empty/``"nan"`` + placeholders are dropped. + """ + merged = [] + for val in row: + if isinstance(val, (list, tuple, np.ndarray, pd.Series)): + for x in val: + if x is not None and str(x).strip(): + merged.append(str(x).strip()) + elif pd.notna(val) and str(val).strip(): + val_str = str(val).strip() + for x in val_str.split(';'): + if x.strip(): + merged.append(x.strip()) + return merged + combined = col_df.apply(merge_rows, axis=1) + else: + def first_valid(row: pd.Series) -> str: + """Return the first non-null, non-placeholder string in a row of duplicates.""" + for val in row: + if pd.notna(val) and str(val).strip().lower() not in _NULL_STRINGS: + return str(val).strip() + return "" + combined = col_df.apply(first_valid, axis=1) + + df = df.drop(columns=[col]) + df[col] = combined + + # 5. Enforce columns presence. Ensure all mandatory columns exist. + # Initialize missing columns with empty string or empty list as appropriate. + for col in MANDATORY_COLUMNS: + if col not in df.columns: + if col in MULTIVALUE_COLUMNS: + df[col] = [[] for _ in range(len(df))] + else: + df[col] = "" + + # Set DB column explicitly + db_names_map = { + "web_of_science": "WEB_OF_SCIENCE", + "scopus": "SCOPUS", + "dimensions": "DIMENSIONS", + "lens": "THE_LENS", + "pubmed": "PUBMED", + "cochrane": "COCHRANE" + } + df["DB"] = db_names_map.get(source_db_key, source_db_key.upper()) + + # 6. Apply type contracts & null cleaning + # Scalar columns formatting (strings) + scalar_cols = [col for col in MANDATORY_COLUMNS if col not in MULTIVALUE_COLUMNS and col != 'TC'] + def clean_scalar(x: Any) -> str: + """ + Coerce any cell value into a clean scalar string. + + Containers are joined with ``"; "`` after dropping nulls and + placeholder strings (``"nan"``/``"null"``/``"none"``/``""``); + real ``NaN`` values become ``""``; everything else is + stringified and stripped. + """ + if x is None: + return "" + if isinstance(x, (list, tuple, np.ndarray, pd.Series)): + cleaned_elems = [str(e).strip() for e in x if e is not None and str(e).lower().strip() not in _NULL_STRINGS] + return "; ".join(cleaned_elems) + if pd.isna(x): + return "" + val_str = str(x).strip() + if val_str.lower() in ('nan', 'null', 'none'): + return "" + return val_str + + for col in scalar_cols: + df[col] = df[col].apply(clean_scalar) + + # Standardize Journal Name (SO) - convert to uppercase if not empty + df["SO"] = df["SO"].str.upper() + + # Publication Year (PY): Extract 4-digit format + def clean_year(val: Any) -> str: + """Extract a 4-digit year from arbitrary input; return ``""`` if none is found.""" + if is_null(val): + return "" + if isinstance(val, (list, tuple, np.ndarray, pd.Series)): + val = val[0] if len(val) > 0 else "" + val_str = str(val).strip() + match = re.search(r'\d{4}', val_str) + return match.group(0) if match else "" + df["PY"] = df["PY"].apply(clean_year) + + # Times Cited (TC): Cast to integer and replace nulls with 0 + def clean_tc(val: Any) -> int: + """ + Coerce a citation count to ``int``, defaulting to ``0``. + + Accepts ``"12.0"``-style strings (some sources export the + counter as a float) and unwraps single-element containers. + """ + if is_null(val): + return 0 + if isinstance(val, (list, tuple, np.ndarray, pd.Series)): + val = val[0] if len(val) > 0 else 0 + if str(val).strip().lower() in _NULL_STRINGS: + return 0 + try: + # Handle floats represented as string, e.g. "12.0" + return int(float(str(val).strip())) + except ValueError: + return 0 + df["TC"] = df["TC"].apply(clean_tc) + + # Multi-value columns: split string into list[str], replace nulls with [] + # Custom delimiters by column/source + for col in MULTIVALUE_COLUMNS: + # Detect default delimiter based on source + default_delim = ';' + if source_db_key == "web_of_science" and col == "CR": + default_delim = '\n' # references in WoS txt are separated by newline + elif source_db_key == "web_of_science" and col in ("AU", "AF") and ft == ".bib": + default_delim = ' and ' + elif source_db_key == "scopus" and col in ("AU", "AF") and ft == ".bib": + default_delim = ' and ' + + def convert_to_list(val: Any, delim: str = default_delim) -> List[str]: + """ + Convert a multi-value cell into a clean ``list[str]``. + + If ``val`` is already a container it is flattened and + cleaned in place. Otherwise the string is split first + on ``delim`` (source-specific: ``";"``, ``"\\n"`` or + ``" and "``), and if ``delim`` is absent it falls back + to ``";"``. Empty/null/placeholder tokens are dropped. + """ + if isinstance(val, (list, tuple, np.ndarray, pd.Series)): + # Clean the elements in list + cleaned = [str(x).strip() for x in val if x is not None and str(x).lower().strip() not in _NULL_STRINGS] + return cleaned + if is_null(val): + return [] + val_str = str(val).strip() + if not val_str or val_str.lower() in ('nan', 'null', 'none'): + return [] + + # Semicolon is the standard internal delimiter. If the string contains semicolon, split it. + # If there is another delimiter, we split on it. + parts = [] + if delim in val_str: + parts = val_str.split(delim) + elif ';' in val_str: + parts = val_str.split(';') + else: + parts = [val_str] + + return [p.strip() for p in parts if p.strip()] + + df[col] = df[col].apply(convert_to_list) + + # 7. Keep the full standardized schema. Both AU (surname + initials) + # and AF (full names) belong to the canonical WoS glossary, so we keep + # both columns: dropping one would make downstream functions that read + # the missing field fail with a KeyError. The ``author_format`` argument + # is retained for backward compatibility with existing callers but no + # longer prunes columns from the output schema. + cols_to_keep = [col for col in MANDATORY_COLUMNS if col in df.columns] + df = df[cols_to_keep] + + return df + + def validate(self, df_trans: pd.DataFrame, author_format: str = "surname") -> None: + """ + Phase 3 — defensive schema check on the transformed DataFrame. + + Thin wrapper over :func:`validator.validate_dataframe`. Kept as + a method on the orchestrator so callers can override or + instrument it (e.g. in tests) without monkey-patching the + validator module. + + Args: + df_trans: DataFrame returned by :meth:`transform`. + author_format: Same value as passed to :meth:`transform`; + determines whether ``AU`` or ``AF`` is checked for + presence. + + Raises: + ValueError: On the first schema-contract violation; see + :func:`validator.validate_dataframe` for the exact + rules and message format. + """ + validate_dataframe(df_trans, author_format=author_format) + + def run(self, data_path: str, source_db: str, file_type: str, author_format: str = "surname") -> pd.DataFrame: + """ + Run the file-based ETL: Extract → Transform → Validate. + + This is the entry point used by the Shiny UI when the user + uploads a file. It is *intentionally* tiny — the heavy lifting + lives in the three phase methods so each can be tested in + isolation. + + Args: + data_path: Absolute path to the input file. + source_db: Source database identifier; see :meth:`extract` + for accepted values. + file_type: File extension; see :meth:`extract`. + author_format: ``"surname"`` (default) or ``"fullname"``. + + Returns: + The validated, dashboard-ready DataFrame. + + Raises: + FileNotFoundError: From :meth:`extract` when the path is + missing. + ValueError: From :meth:`extract`, :meth:`transform` or + :meth:`validate` on any contract violation. + """ + df_raw = self.extract(data_path, source_db, file_type) + df_trans = self.transform(df_raw, source_db, file_type, author_format) + self.validate(df_trans, author_format) + return df_trans + + def run_api(self, query: str, source_db: str, max_results: int = 100, author_format: str = "surname") -> pd.DataFrame: + """ + Run the API-based ETL: live query → Transform → Validate. + + Replaces the file-based :meth:`extract` with a call to + :class:`api_retriever.APIRetriever`. Two sources are currently + supported as live queries: OpenAlex (aliased as ``"alex"``) + and PubMed. The query and ``max_results`` are sanitised before + the network call so empty/whitespace queries or non-positive + counts fail fast with a clear :class:`ValueError`. + + Args: + query: Free-text search string. Must contain at least one + non-whitespace character. + source_db: Either ``"openalex"`` / ``"alex"`` or + ``"pubmed"``. + max_results: Cap on the number of records to retrieve. + Coerced to ``int``; must be ``> 0``. Defaults to ``100``. + author_format: ``"surname"`` (default) or ``"fullname"``. + + Returns: + The validated, dashboard-ready DataFrame. + + Raises: + ValueError: If ``query`` is empty, ``max_results`` is not + a positive integer, the source is unsupported, or the + live query returns zero rows. + """ + # Guard: reject empty/whitespace-only queries before hitting the network. + if not isinstance(query, str) or not query.strip(): + raise ValueError("API query cannot be empty. Please enter a search term.") + # Guard: max_results must be a positive integer. + try: + max_results = int(max_results) + except (TypeError, ValueError): + raise ValueError("max_results must be a positive integer.") + if max_results <= 0: + raise ValueError("max_results must be greater than zero.") + + query = query.strip() + source_db_key = source_db.lower().strip() + retriever = APIRetriever() + + if source_db_key in ("openalex", "alex"): + df_raw = retriever.query_openalex(query, max_results=max_results) + file_type = ".json" + source_db_key = "openalex" + elif source_db_key == "pubmed": + df_raw = retriever.query_pubmed(query, max_results=max_results) + file_type = ".txt" + source_db_key = "pubmed" + else: + raise ValueError(f"API extraction not supported for source database: {source_db}") + + if df_raw.empty: + raise ValueError(f"No results found on {source_db} for query: '{query}'") + + df_trans = self.transform(df_raw, source_db_key, file_type, author_format) + self.validate(df_trans, author_format) + return df_trans diff --git a/www/services/format_functions.py b/www/services/format_functions.py index 1a8ee7af4..40bd14238 100644 --- a/www/services/format_functions.py +++ b/www/services/format_functions.py @@ -3,6 +3,7 @@ import zipfile import tempfile import os +from .etl_pipeline import BibliometrixETL def format_ab_column(entry, source, file_type): # Function for AB Column (format--> "Abstract") @@ -1519,123 +1520,17 @@ def process_single_file(data, source, file_type, author): Returns: A list of dictionaries containing the formatted data """ - list_bib_data = [] - - if source == "wos": - source = "Web_of_Science" - if file_type.endswith("bib"): - file_type = ".bib" - bib_parser = BibTexParser() - with open(data, 'r', encoding='utf-8') as file: - bib_data = bib_parser.parse_file(file) - json_data = json.dumps(bib_data.entries, indent=4) - list_bib_data = json.loads(json_data) - elif file_type.endswith("txt"): - file_type = ".txt" - bib_data = parse_wos_data(data) - list_bib_data = bib_data - elif file_type.endswith("ciw"): - file_type = ".ciw" - bib_data = parse_wos_data(data) - list_bib_data = bib_data - - elif source == "scopus": - source = "Scopus" - if file_type.endswith("bib"): - file_type = ".bib" - bib_parser = BibTexParser() - with open(data, 'r', encoding='utf-8') as file: - bib_data = bib_parser.parse_file(file) - list_bib_data = bib_data.entries - elif file_type.endswith("csv"): - file_type = ".csv" - bib_data = pd.read_csv(data) - list_bib_data = bib_data.to_dict(orient='records') - - elif source == "dimensions": - source = "Dimensions" - if file_type.endswith("xlsx"): - file_type = ".xlsx" - bib_data = pd.read_excel(data, skiprows=1) - list_bib_data = bib_data.to_dict(orient='records') - elif file_type.endswith("csv"): - file_type = ".csv" - bib_data = pd.read_csv(data, skiprows=1) - list_bib_data = bib_data.to_dict(orient='records') - - elif source == "lens": - source = "The_Lens" - if file_type.endswith("csv"): - file_type = ".csv" - bib_data = pd.read_csv(data) - list_bib_data = bib_data.to_dict(orient='records') - - elif source == "pubmed": - source = "PubMed" - if file_type.endswith("txt"): - file_type = ".txt" - list_bib_data = parse_pubmed_data(data) - - elif source == "cochrane": - source = "Cochrane" - if file_type.endswith("txt"): - file_type = ".txt" - list_bib_data = parse_cochrane_data(data) - - # Extract relevant data and store it in a list of dictionaries - entries = [] - for entry in list_bib_data: - entry_data = { - 'AB': format_ab_column(entry, source, file_type), # Abstract - 'AF': format_af_column(entry, source, file_type), # Authors Full Name - 'AU': format_au_column(entry, source, file_type), # Author/s - 'AU_UN': format_au_un_column(entry, source, file_type), # Authors University - 'AU1_UN': format_au1_un_column(entry, source, file_type), # Authors First University - 'BP': format_bp_column(entry, source, file_type), # Beginning Page - 'EP': format_ep_column(entry, source, file_type), # Ending Page - 'CR': format_cr_column(entry, source, file_type), # Cited References - 'C1': format_c1_column(entry, source, file_type), # Authors Affiliation - 'DB': source, # Database - 'DE': format_de_column(entry, source, file_type), # Author Keywords - 'DI': format_di_column(entry, source, file_type), # DOI - 'DT': format_dt_column(entry, source, file_type), # Document Type - 'EM': format_em_column(entry, source, file_type), # Email - 'FU': format_fu_column(entry, source, file_type), # Funding Details - 'FX': format_fx_column(entry, source, file_type), # Funding Text - 'IS': format_is_column(entry, source, file_type), # Issue - 'JI': format_ji_column(entry, source, file_type), # Abbreviated Journal Name - 'ID': format_id_column(entry, source, file_type), # Index Keywords - 'LA': format_la_column(entry, source, file_type), # Language - 'OA': format_oa_column(entry, source, file_type), # Open Access - 'OI': format_oi_column(entry, source, file_type), # Orcid ID - 'PMID': format_pmid_column(entry, source, file_type), # PubMed ID - 'PU': format_pu_column(entry, source, file_type), # Publisher - 'PY': format_py_column(entry, source, file_type), # Publication Year - 'RP': format_rp_column(entry, source, file_type), # Correspondence Address - 'SC': format_sc_column(entry, source, file_type), # Fields of Research - 'SN': format_sn_column(entry, source, file_type), # ISSN - 'SO': format_so_column(entry, source, file_type), # Journal - 'SR': format_sr_column(entry, source, file_type), # Author, Publication Year, Journal - 'TC': format_tc_column(entry, source, file_type), # Times Cited - 'TI': format_ti_column(entry, source, file_type), # Title - 'UT': format_ut_column(entry, source, file_type), # Publication ID - 'VL': format_vl_column(entry, source, file_type), # Volume - } - - # Add other columns from 'columns' - for column in columns: - if column not in entry_data: # Avoid overwriting existing keys - entry_data[column] = entry.get(column, None) + etl = BibliometrixETL() + # Normalize file extension + ext = file_type.lower().strip() + if '.' not in ext: + # Extract extension if file_type is a full filename + ext = os.path.splitext(ext)[1] + if not ext.startswith('.'): + ext = '.' + ext - # Remove the column based on the value of the 'author' field - if author == "surname": - entry_data.pop('AF', None) # Remove 'AF' if it exists - elif author == "fullname": - entry_data.pop('AU', None) # Remove 'AU' if it exists - - entries.append(entry_data) - - return entries + df = etl.run(data, source, ext, author_format=author) + return df.to_dict(orient='records') def biblio_json(data, source, type, author): diff --git a/www/services/histnetwork.py b/www/services/histnetwork.py index 7848d9744..f55479eb5 100644 --- a/www/services/histnetwork.py +++ b/www/services/histnetwork.py @@ -20,7 +20,12 @@ def histNetwork(df, min_citations=0, sep=";", network=True): - LCS: A list containing the Local Citation Score of each paper. """ M = df.get() - db = M['DB'][0] + # Use positional access: after upstream filtering/sorting the index is not + # guaranteed to start at 0, so label-based M['DB'][0] can raise KeyError. + db = M['DB'].iloc[0] + # Normalize the database tag so the dispatch below is case-insensitive and + # tolerant of the standardized "WEB_OF_SCIENCE"/"SCOPUS" spelling. + db_key = str(db).strip().lower().replace(" ", "_") # Ensure required fields are present if 'DI' not in M: @@ -34,9 +39,9 @@ def histNetwork(df, min_citations=0, sep=";", network=True): # Fill missing values in TC M['TC'] = M['TC'].fillna(0) - if db == "Web_of_Science": + if db_key in ("web_of_science", "isi", "wos"): results = wos(M, min_citations=min_citations, sep=sep, network=network) - elif db == "Scopus": + elif db_key == "scopus": results = scopus(M, min_citations=min_citations, sep=sep, network=network) else: print("\nDatabase not compatible with direct citation analysis\n") @@ -175,6 +180,9 @@ def scopus(M, min_citations=0, sep=";", network=True): # Prepare the M dataframe for the join M_merge = M[['AU', 'PY', 'BP', 'EP', 'SR']].copy() M_merge['AU'] = M_merge['SR'].str.extract(r'^(.*?),').apply(lambda x: x.str.replace('.', '').str.strip()) + # CR['PY'] is extracted as float above; the standardized M stores PY as a + # string, so coerce here to keep the merge keys on a matching dtype. + M_merge['PY'] = pd.to_numeric(M_merge['PY'], errors='coerce') M_merge['BP'] = pd.to_numeric(M_merge['BP'], errors='coerce') M_merge['EP'] = pd.to_numeric(M_merge['EP'], errors='coerce') M_merge['PP'] = M_merge.apply(lambda row: f"{row['BP']}-{row['EP']}" if pd.notna(row['BP']) else np.nan, axis=1) @@ -189,7 +197,10 @@ def scopus(M, min_citations=0, sep=";", network=True): # Calculate the Local Citation Score (LCS) LCS = CR.groupby('SR_cited').size().reset_index(name='LCS') - # Merge LCS scores with M + # Merge LCS scores with M. Reset the index first: upstream processing can + # leave 'SR' as a named index level, which makes merging on the 'SR' column + # ambiguous ("'SR' is both an index level and a column label"). + M = M.reset_index(drop=True) M = M.merge(LCS, left_on='SR', right_on='SR_cited', how='left').fillna({'LCS': 0}) print(f"\nCalculated Local Citation Scores (LCS) for {len(M)} papers...\n") diff --git a/www/services/parsers.py b/www/services/parsers.py index 72b9d370e..7fa8ef8cb 100644 --- a/www/services/parsers.py +++ b/www/services/parsers.py @@ -1,8 +1,50 @@ +""" +Plain-text parsers for legacy bibliographic export formats. + +Each function here converts an on-disk export from one of three sources +— Web of Science (``.txt``/``.ciw``), PubMed MEDLINE (``.txt``), or +Cochrane Library (``.txt``) — into a Python ``list[dict]`` whose keys +are the two-letter (or short) field codes used by the originating +system. The dict is then fed to the ETL pipeline (see +:mod:`etl_pipeline`) for normalisation into the canonical WoS schema. + +Each format follows roughly the same grammar: + +- A record is a block of lines. +- Records are separated by a delimiter (blank line, ``ER`` marker, or + ``Record #`` header). +- A field line starts with a key prefix (e.g. ``AU - Smith J``); + continuation lines belong to the previous key. +""" + +from typing import List, Dict, Any + from .utils import * #### WEB OF SCIENCE PARSER #### -def parse_wos_data(datapath): # PARSER FOR WEB OF SCIENCE TXT and CIW +def parse_wos_data(datapath: str) -> List[Dict[str, Any]]: + """ + Parse a Web of Science ``.txt`` / ``.ciw`` export into a list of records. + + The WoS plain-text format uses two-letter field codes (``AU``, ``TI``, + ``SO``, …) on lines that begin in column 0; continuation lines are + indented with two spaces and append to the previous key. + + A handful of fields (``DE``, ``C3``, ``EM``, ``FU``, ``FX``, ``WC``) + are special-cased: their continuation lines are space-joined into a + single string instead of accumulated as a list, because downstream + code expects a flat string for those columns. + + Args: + datapath: Absolute path to the WoS export file. The file is read + assuming UTF-8 encoding. + + Returns: + A list where each item is a dict ``{field_code: [value, ...]}`` + for one bibliographic record. The two header lines of the WoS + file are intentionally skipped. + """ elem_data = [] data = {} current_key = None @@ -40,7 +82,26 @@ def parse_wos_data(datapath): # PARSER FOR WEB OF SCIENCE TXT and CIW #### PUBMED PARSER #### -def parse_pubmed_data(datapath): # PARSER FOR PUBMED TXT +def parse_pubmed_data(datapath: str) -> List[Dict[str, str]]: + """ + Parse a PubMed MEDLINE ``.txt`` export into a list of records. + + The MEDLINE format uses ``KEY - value`` lines where ``KEY`` is a + two-to-four letter code (e.g. ``PMID``, ``AU``, ``TI``, ``AB``). + Lines without that prefix are treated as continuations of the + previous key. + + When the same key appears multiple times in a record (typical for + ``AU`` with many authors) the values are joined with ``;`` into a + single string; the ETL pipeline later splits them back into a list. + + Args: + datapath: Absolute path to the MEDLINE export file. The file is + read assuming UTF-8 encoding. + + Returns: + A list of dicts ``{key: value_string}``, one per record. + """ data = [] current_record = {} @@ -77,7 +138,29 @@ def parse_pubmed_data(datapath): # PARSER FOR PUBMED TXT #### COCHRANE PARSER #### -def parse_cochrane_data(datapath): +def parse_cochrane_data(datapath: str) -> List[Dict[str, str]]: + """ + Parse a Cochrane Library plain-text export into a list of records. + + Cochrane records are delimited by a ``Record #N`` header and use + ``KEY: value`` lines (note the colon, in contrast to WoS/MEDLINE). + Lines without that pattern are treated as continuations of the + previous key. + + Two post-processing steps are applied per record: + + - The synthetic ``Record`` field (just a counter) is dropped. + - If the abstract starts with ``"Abstract - Background"``, the + first 22 characters are stripped so the abstract starts at the + actual prose. + + Args: + datapath: Absolute path to the Cochrane export file. The file + is read assuming UTF-8 encoding. + + Returns: + A list of dicts ``{key: value_string}``, one per record. + """ data = [] current_record = {} diff --git a/www/services/utils.py b/www/services/utils.py index b2a4b1fe2..7bd830906 100644 --- a/www/services/utils.py +++ b/www/services/utils.py @@ -1,3 +1,21 @@ +""" +Shared utilities and constants for the Bibliometrix dashboard. + +This module is a *grab-bag* used by virtually every other module in +:mod:`www.services`. It is intentionally heavy on imports because +re-importing them in each dependant module would slow application +startup. Its actual public surface is small: + +- :data:`columns` — the canonical column order for the WoS-style + DataFrame consumed by the dashboard. +- :data:`ICONS` — a registry of pre-built FontAwesome icon objects, + centralised here so the rest of the UI can refer to icons by short + semantic keys (``"home"``, ``"filters"``, …) instead of repeating the + literal FA names. +- :func:`empty_plot` — a Plotly placeholder used while waiting for the + user to click *Run*. +""" + import os import io import re @@ -17,7 +35,10 @@ import igraph as ig import faicons as fa import networkx as nx -import geopandas as gpd +try: + import geopandas as gpd +except ImportError: + gpd = None import plotly.express as px import matplotlib.pyplot as plt import plotly.graph_objects as go @@ -150,15 +171,22 @@ } -def empty_plot(message="Click RUN to generate analysis"): +def empty_plot(message: str = "Click RUN to generate analysis") -> "go.Figure": """ - Create an empty plotly figure with a message for placeholder display. - + Create an empty Plotly figure that displays a centred message. + + The figure is used as a placeholder inside every analysis tab while + the dashboard waits for the user to load data and press *Run*. The + axes are hidden, the background is transparent, and the message is + centred so the placeholder blends with the surrounding card layout. + Args: - message (str): Message to display in the empty plot - + message: Text rendered at the centre of the empty plot. + Defaults to a Run hint. + Returns: - plotly.graph_objects.Figure: Empty figure with message + A :class:`plotly.graph_objects.Figure` with no traces, hidden + axes, and a single centred annotation. """ fig = go.Figure() diff --git a/www/services/validator.py b/www/services/validator.py new file mode 100644 index 000000000..3c4b85775 --- /dev/null +++ b/www/services/validator.py @@ -0,0 +1,135 @@ +""" +Schema validator for the Bibliometrix ETL pipeline. + +Ensures that the DataFrame produced by the ETL conforms to the canonical +Web of Science (WoS) schema required by the dashboard: + +- All mandatory columns are present. +- No NaN/None values remain (the ETL must impute or drop them upstream). +- Multi-value columns (AU, AF, C1, CR, DE, ID) are ``list[str]``. +- Scalar columns are ``str`` (or numeric for TC). + +This module is invoked at the end of every ETL run as a defensive contract: +if validation fails, downstream visualisation code is guaranteed not to see +malformed data. +""" + +import logging +import pandas as pd +import numpy as np +from typing import List, Any + +logger = logging.getLogger(__name__) + +# Define the standard columns from the glossary +MANDATORY_COLUMNS: List[str] = [ + 'DB', 'UT', 'DI', 'PMID', 'TI', 'SO', 'JI', 'PY', 'DT', 'LA', 'TC', + 'AU', 'AF', 'C1', 'RP', 'CR', 'DE', 'ID', 'AB', 'VL', 'IS', 'BP', 'EP', 'SR' +] + +# Columns that MUST be list of strings in the final DataFrame +MULTIVALUE_COLUMNS: List[str] = ['AU', 'AF', 'C1', 'CR', 'DE', 'ID'] + +def validate_dataframe(df: pd.DataFrame, author_format: str = "surname") -> None: + """ + Validate that ``df`` conforms to the standardised WoS schema. + + The check is split into three contracts: + + 1. **Column presence** — every mandatory column from + :data:`MANDATORY_COLUMNS` must exist. ``AU`` or ``AF`` is excluded + depending on ``author_format``. + 2. **Null absence** — no column may contain NaN/None. The ETL is + responsible for imputing missing values (typically with ``""`` for + strings, ``0`` for TC, ``[]`` for multi-value columns). + 3. **Type contract** — multi-value columns must be lists of + strings; scalar columns must be strings (except ``TC`` which is + numeric: ``int``, ``float``, ``np.integer`` or ``np.floating``; + booleans are explicitly rejected). + + Args: + df: DataFrame produced by the ETL pipeline. + author_format: Either ``"surname"`` (keep ``AU``, drop ``AF``) + or ``"fullname"`` (keep ``AF``, drop ``AU``). Defaults to + ``"surname"``. + + Raises: + ValueError: With a descriptive message on the first contract + violation. The function is fail-fast: it does not aggregate + errors across columns. + + Returns: + None. On success a confirmation message is printed to stdout. + """ + # 1. Verify that all mandatory columns exist. + # Both AU and AF are part of the canonical WoS glossary and are always + # required. The ``author_format`` argument is kept for backward + # compatibility with existing callers but no longer relaxes the contract. + expected_cols = [col for col in MANDATORY_COLUMNS] + + missing_cols = [col for col in expected_cols if col not in df.columns] + if missing_cols: + raise ValueError(f"Validation failed: Missing mandatory columns: {missing_cols}") + + # 2. Assert no NaN or None values remain in the DataFrame + # Note: df.isna() checks for both NaN and None. + for col in df.columns: + null_count = df[col].isna().sum() + if null_count > 0: + raise ValueError(f"Validation failed: Column '{col}' contains {null_count} null/NaN values.") + + # 3. Assert type contracts: + # Multi-value columns must be lists of strings. + # Non-multi-value columns must be strings or ints. + for col in df.columns: + if col in MULTIVALUE_COLUMNS: + # Check if all elements in the column are lists (and not strings or numbers) + non_list_mask = df[col].apply(lambda x: not isinstance(x, list)) + non_list_count = non_list_mask.sum() + if non_list_count > 0: + sample_indices = df[non_list_mask].index[:3].tolist() + raise ValueError( + f"Validation failed: Column '{col}' must contain only lists, " + f"but has {non_list_count} non-list elements (e.g. at indices {sample_indices})." + ) + + # Check if lists contain only strings + def check_list_elements(lst: Any) -> bool: + """Return True if ``lst`` is a list whose elements are all strings.""" + if not isinstance(lst, list): + return False + return all(isinstance(x, str) for x in lst) + + invalid_elements_mask = df[col].apply(lambda x: not check_list_elements(x)) + invalid_elements_count = invalid_elements_mask.sum() + if invalid_elements_count > 0: + raise ValueError( + f"Validation failed: List elements in column '{col}' must be strings, " + f"but found invalid elements at {invalid_elements_count} rows." + ) + else: + # Non-multivalue columns must be scalar (str or int) + if col == 'TC': + # Check for integer/numeric type. Pandas/NumPy can store TC as + # np.int64/np.float64 (from read_csv/read_excel), so we accept + # any numeric type but reject booleans (bool is a subclass of int). + def _is_numeric(x: Any) -> bool: + """Return True for any numeric scalar (int/float/numpy) except booleans.""" + if isinstance(x, bool): + return False + return isinstance(x, (int, float, np.integer, np.floating)) + non_int_mask = df[col].apply(lambda x: not _is_numeric(x)) + if non_int_mask.any(): + raise ValueError(f"Validation failed: Column 'TC' must contain numeric values.") + else: + # String columns + non_str_mask = df[col].apply(lambda x: not isinstance(x, str)) + if non_str_mask.any(): + non_str_count = non_str_mask.sum() + sample_vals = df[non_str_mask][col].head(3).tolist() + raise ValueError( + f"Validation failed: Column '{col}' must contain only strings, " + f"but has {non_str_count} non-string elements (sample values: {sample_vals})." + ) + + logger.info("Validation passed: DataFrame conforms to the standardized WoS schema.") From 0c1ee88efb5c1e2bfe33d9b0417442d3066022c7 Mon Sep 17 00:00:00 2001 From: Mattia De Nicola Date: Sun, 31 May 2026 10:49:47 +0200 Subject: [PATCH 02/10] fix(requirements): rendi pywin32 condizionale a Windows e pinna kaleido==0.2.1 pywin32 non e importato in nessun modulo e su macOS/Linux faceva fallire pip install. Aggiunto marker PEP 508 sys_platform=='win32'. kaleido (usato da plotly to_image/write_image) pinnato a 0.2.1, l'ultima versione con API sincrona compatibile col codice esistente. --- requirements.txt | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/requirements.txt b/requirements.txt index 22e10d244..e30a71602 100644 --- a/requirements.txt +++ b/requirements.txt @@ -43,7 +43,7 @@ jsonschema==4.23.0 jsonschema-specifications==2025.4.1 jupyter_core==5.7.2 jupyterlab_widgets==3.0.13 -kaleido +kaleido==0.2.1 kiwisolver==1.4.7 linkify-it-py==2.0.3 lxml==5.4.0 @@ -83,7 +83,7 @@ python-dateutil==2.9.0.post0 python-multipart==0.0.12 pytz==2024.2 pyvis==0.3.2 -pywin32==306 +pywin32==306; sys_platform == "win32" questionary==2.0.1 referencing==0.36.2 regex==2024.11.6 From c794c868af5a541981fb0db04f5a0001f2bf131e Mon Sep 17 00:00:00 2001 From: Mattia De Nicola Date: Sun, 31 May 2026 11:45:59 +0200 Subject: [PATCH 03/10] fix --- PR_BODY.md | 66 ++++++++++++++++ requirements.txt.bak-20260531 | 125 +++++++++++++++++++++++++++++++ www/services/format_functions.py | 19 +++-- 3 files changed, 202 insertions(+), 8 deletions(-) create mode 100644 PR_BODY.md create mode 100644 requirements.txt.bak-20260531 diff --git a/PR_BODY.md b/PR_BODY.md new file mode 100644 index 000000000..12d7cae78 --- /dev/null +++ b/PR_BODY.md @@ -0,0 +1,66 @@ +# Source-agnostic ETL pipeline for Bibliometrix-Python (Extract → Transform → Validate + live API) + +## Summary + +This PR makes Bibliometrix-Python **source-agnostic**, replicating the conceptual robustness of R bibliometrix's `convert2df()`. It introduces a centralized ETL pipeline that turns heterogeneous bibliographic exports (Web of Science, Scopus, Dimensions, PubMed, Lens, Cochrane) — plus **live API queries** (OpenAlex, PubMed) — into a single, strictly-typed Web of Science schema that the dashboard and analytical functions can consume without crashing. + +**Implementation level: Advanced** (API retrieval with pagination, rate-limiting and retries, reusing the same transformation pipeline as the file-based path). + +## Problems in the current implementation that this PR addresses + +- **No single entry point** like `convert2df()` → added `BibliometrixETL.run()` / `run_api()`. +- **Scattered transformation logic** → centralized in one `transform()` method, no monolith (Extract / Transform / Validate are separate, independently testable methods). +- **Weak type enforcement** → explicit type contracts (PY as 4-digit string, TC as int, multi-value fields as `list[str]`). +- **Poor null handling** → NaN/None systematically replaced with `""` (scalars) or `[]` (multi-value). +- **Implicit WoS dependency / incomplete column mapping** → declarative per-source mapping dictionaries. +- **Non-standard reference/citation parsing** → source-specific delimiters (e.g. newline for WoS `CR`). + +## Architecture + +**1. Dispatcher** — `extract()` in `www/services/etl_pipeline.py` routes each `(source, file_type)` pair to the right parser (reusing the existing `www/services/parsers.py`), raising clear `ValueError`/`FileNotFoundError`/`ImportError` instead of failing silently. + +**2. Mapping dictionaries** — `www/services/column_mappings.py` holds one declarative `{source_column: WoS_tag}` table per database. Adding a new source = appending one sub-dictionary, no other module changes. + +**3. Type contracts** — `transform()` enforces the schema in 7 documented phases: pre-processing (e.g. Dimensions affiliation extraction, pagination split into BP/EP), **SR computation reusing the existing `format_functions.format_sr_column`** (per the brief: SR is not rewritten from scratch), column rename, duplicate-column resolution, mandatory-column presence, type coercion, null cleaning. + +**4. Validation** — `www/services/validator.py` programmatically verifies: all mandatory columns present, no NaN/None remaining, multi-value columns are `list[str]`. + +**5. Live API (Advanced)** — `www/services/api_retriever.py`: +- **OpenAlex**: paginated `/works`, exponential backoff on 429/5xx (1-2-4-8-16s, cap 30s), per-page retry budget, abstract reconstruction from the inverted index; already-fetched rows are never dropped on error. +- **PubMed**: ESearch + EFetch, MEDLINE written to a race-free `tempfile.mkstemp` cleaned in `finally`, then **reusing** the existing `parse_pubmed_data` (no duplicated logic). + +## Files + +**New ETL modules** (~1,631 lines): +- `www/services/etl_pipeline.py` (768) — orchestrator +- `www/services/api_retriever.py` (376) — OpenAlex + PubMed clients +- `www/services/column_mappings.py` (176) — per-source mapping tables +- `www/services/validator.py` (135) — schema validator +- `test_etl_pipeline.py` (176) — end-to-end execution evidence harness + +**Debugging / patches applied to existing analytical & service functions** (to make them work with non-WoS data instead of assuming WoS-only formats): +- `functions/get_annualproduction.py` — robust PY handling across sources +- `functions/get_worldmapcollaboration.py` +- `www/services/format_functions.py`, `histnetwork.py`, `biblionetwork.py`, `parsers.py`, `utils.py` +- `requirements.txt` — made `pywin32` Windows-only (`sys_platform == "win32"`) so `pip install` no longer fails on macOS/Linux; pinned `kaleido==0.2.1` (the version compatible with the existing plotly `to_image`/`write_image` calls). + +## Execution evidence + +End-to-end harness (`python test_etl_pipeline.py`) over four real source files: + +| Source | Rows | PY filled | Assigned functions | +|---|---|---|---| +| Scopus (CSV) | 1000 | 100% | annual_production ✅ · co_citation ✅ · clustering_coupling ✅ | +| Dimensions (XLSX) | 500 | 100% | annual_production ✅ · co_citation N/A* · coupling N/A* | +| PubMed (TXT) | 10000 | 100% | annual_production ✅ · co_citation N/A* · coupling N/A* | +| Web of Science (TXT) | 500 | 100% | annual_production ✅ · co_citation ✅ · clustering_coupling ✅ | + +**Result: `PASS=8 N/A=4 FAIL=0`** — all assigned functions run on every source. + +\* Co-citation and bibliographic coupling are computed *from cited references* (CR). Dimensions and PubMed exports do not include a reference list, so these networks cannot be built — marked N/A rather than FAIL, consistent with the brief ("assuming the raw data contains the necessary underlying information"). + +## Dashboard demonstration + +The Shiny dashboard (`shiny run app.py`) starts cleanly and serves HTTP 200, and the standardized DataFrame produced by the ETL allows non-WoS data (e.g. Scopus CSV) to be loaded and analyzed through the UI. + + diff --git a/requirements.txt.bak-20260531 b/requirements.txt.bak-20260531 new file mode 100644 index 000000000..22e10d244 --- /dev/null +++ b/requirements.txt.bak-20260531 @@ -0,0 +1,125 @@ +altair==5.5.0 +annotated-types==0.7.0 +anyio==4.9.0 +appdirs==1.4.4 +asgiref==3.8.1 +asttokens==2.4.1 +attrs==25.3.0 +bibtexparser==1.4.1 +cachetools==5.5.2 +certifi==2025.4.26 +cffi==1.17.1 +charset-normalizer==3.4.2 +click==8.1.7 +colorama==0.4.6 +comm==0.2.2 +contourpy==1.3.0 +cycler==0.12.1 +decorator==5.1.1 +et-xmlfile==1.1.0 +exceptiongroup==1.2.2 +executing==2.1.0 +faicons==0.2.2 +fonttools==4.55.3 +geopandas==1.0.1 +google-auth==2.40.2 +google-genai==1.16.1 +graphviz==0.20.3 +h11==0.16.0 +htmltools==0.6.0 +httpcore==1.0.9 +httpx==0.28.1 +idna==3.10 +igraph==0.11.8 +importlib_resources==6.4.5 +ipython==8.18.0 +ipywidgets==8.1.5 +itables==2.2.3 +jedi==0.19.1 +Jinja2==3.1.5 +joblib==1.4.2 +jsonpickle==4.0.1 +jsonschema==4.23.0 +jsonschema-specifications==2025.4.1 +jupyter_core==5.7.2 +jupyterlab_widgets==3.0.13 +kaleido +kiwisolver==1.4.7 +linkify-it-py==2.0.3 +lxml==5.4.0 +markdown-it-py==3.0.0 +MarkupSafe==3.0.2 +matplotlib==3.9.4 +matplotlib-inline==0.1.7 +mdit-py-plugins==0.4.2 +mdurl==0.1.2 +narwhals==1.37.1 +networkx==3.2.1 +nltk==3.9.1 +numpy==2.0.2 +openpyxl==3.1.5 +orjson==3.10.18 +outcome==1.3.0.post0 +packaging==24.1 +pandas==2.2.3 +parso==0.8.4 +pillow==11.0.0 +platformdirs==4.3.6 +plotly==5.24.1 +prince==0.14.0 +prompt-toolkit==3.0.36 +pure_eval==0.2.3 +pyasn1==0.6.1 +pyasn1_modules==0.4.2 +pycparser==2.22 +pydantic==2.11.5 +pydantic_core==2.33.2 +Pygments==2.18.0 +pyogrio==0.10.0 +pyparsing==3.1.4 +pyproj==3.6.1 +PySocks==1.7.1 +python-dateutil==2.9.0.post0 +python-multipart==0.0.12 +pytz==2024.2 +pyvis==0.3.2 +pywin32==306 +questionary==2.0.1 +referencing==0.36.2 +regex==2024.11.6 +requests==2.32.3 +rpds-py==0.24.0 +rsa==4.9.1 +scikit-learn==1.5.2 +scipy==1.13.1 +selenium==4.33.0 +shapely==2.0.6 +shiny==1.4.0 +shinyswatch==0.7.0 +shinywidgets==0.3.3 +six==1.16.0 +sniffio==1.3.1 +sortedcontainers==2.4.0 +stack-data==0.6.3 +starlette==0.39.2 +tenacity==9.0.0 +texttable==1.7.0 +threadpoolctl==3.5.0 +tqdm==4.67.0 +traitlets==5.14.3 +trio==0.30.0 +trio-websocket==0.12.2 +typing-inspection==0.4.1 +typing_extensions==4.13.2 +tzdata==2024.2 +uc-micro-py==1.0.3 +urllib3==2.4.0 +uvicorn==0.31.0 +watchfiles==0.24.0 +wcwidth==0.2.13 +websocket-client==1.8.0 +websockets==13.1 +widgetsnbextension==4.0.13 +wordcloud==1.9.4 +wsproto==1.2.0 +zipp==3.21.0 diff --git a/www/services/format_functions.py b/www/services/format_functions.py index 40bd14238..b28c8a91c 100644 --- a/www/services/format_functions.py +++ b/www/services/format_functions.py @@ -1521,14 +1521,17 @@ def process_single_file(data, source, file_type, author): A list of dictionaries containing the formatted data """ etl = BibliometrixETL() - # Normalize file extension - ext = file_type.lower().strip() - if '.' not in ext: - # Extract extension if file_type is a full filename - ext = os.path.splitext(ext)[1] - if not ext.startswith('.'): - ext = '.' + ext - + # Normalize file extension. + # ``file_type`` may arrive as a full filename ("Scopus.csv"), a bare + # extension ("csv") or a dotted extension (".csv"). Always take the last + # extension via splitext so a filename like "Scopus.csv" yields ".csv" + # rather than ".scopus.csv". + ft = file_type.lower().strip() + ext = os.path.splitext(ft)[1] + if not ext: + # No extension found: file_type was already a bare extension ("csv"). + ext = ft if ft.startswith('.') else '.' + ft + df = etl.run(data, source, ext, author_format=author) return df.to_dict(orient='records') From 4afb393e8df328a3ef0aac6ec633d575c404d9db Mon Sep 17 00:00:00 2001 From: Mattia De Nicola Date: Sun, 31 May 2026 20:51:52 +0200 Subject: [PATCH 04/10] fix(dashboard): rendi le analisi source-agnostic robuste su sorgenti non-WoS Risolve crash che apparivano importando CSV non-WoS (Scopus/Dimensions/Lens/ PubMed) e usando filtri/overview/most-cited. - utils.normalize_dashboard_types(): coercizione PY->Int64 nullable e TC->numerico al confine dati (chiamata in get_data.py, app.py per sample e API). Elimina 'unsupported operand type(s) for -: str and str' in Main information, Filters, Average citations, Most cited documents, Sources production. - get_filters: maschera di filtraggio NA-safe (fillna(False)) per anni mancanti. - get_localcitedsources/references/authors: guardia early-return con placeholder quando la sorgente non ha citazioni (CR/CR_SO vuoti). Prima int(NaN) sollevava un'eccezione dentro il render Shiny e congelava l'intera sessione. - get_sourcesproduction: scarta gli anni mancanti via wrapper locale (no mutazione del reactive condiviso) prima del round-trip astype(int). - etl_pipeline: messaggi 'Unsupported file type' piu' chiari, con i formati accettati per ciascuna sorgente (es. PubMed solo .txt MEDLINE). Non tocca la logica ETL/validator/serializzazione: test_etl_pipeline.py resta PASS=8 N/A=4 FAIL=0. Verificato su Scopus, PubMed, WoS, Dimensions, Lens. --- app.py | 2 +- functions/get_data.py | 6 ++-- functions/get_filters.py | 18 ++++++---- functions/get_localcitedauthors.py | 10 +++++- functions/get_localcitedreferences.py | 16 ++++++++- functions/get_localcitedsources.py | 17 +++++++++- functions/get_sourcesproduction.py | 14 ++++++++ www/services/etl_pipeline.py | 32 ++++++++++++++---- www/services/utils.py | 47 +++++++++++++++++++++++++-- 9 files changed, 141 insertions(+), 21 deletions(-) diff --git a/app.py b/app.py index 651e6d998..51c9aa817 100644 --- a/app.py +++ b/app.py @@ -887,7 +887,7 @@ def run_api_query(): # Assign to _ to suppress the True return value of # reactive.Value.set() which would otherwise be rendered # as text "True" in @render.express() output. - _ = df.set(df_api) + _ = df.set(normalize_dashboard_types(df_api)) reset_all_analyses() ui.update_action_button("export_button", disabled=False) diff --git a/functions/get_data.py b/functions/get_data.py index 16baed992..52d467ea7 100644 --- a/functions/get_data.py +++ b/functions/get_data.py @@ -30,7 +30,7 @@ def get_data(input, database, df, reset_callback=None): if len(file) > 1: # Process multiple files json = process_multiple_files(file, source, author) - df.set(pd.read_json(StringIO(json))) + df.set(normalize_dashboard_types(pd.read_json(StringIO(json)))) # Reset all analysis results when new dataset is loaded if reset_callback: reset_callback() @@ -43,7 +43,7 @@ def get_data(input, database, df, reset_callback=None): # Process single file (original logic) type = file[0]["name"] json = biblio_json(file[0]["datapath"], source, type, author) - df.set(pd.read_json(StringIO(json))) + df.set(normalize_dashboard_types(pd.read_json(StringIO(json)))) # Reset all analysis results when new dataset is loaded if reset_callback: reset_callback() @@ -67,7 +67,7 @@ def get_data(input, database, df, reset_callback=None): ) elif input.select() == "1B": - df.set(pd.read_excel(file[0]["datapath"])) + df.set(normalize_dashboard_types(pd.read_excel(file[0]["datapath"]))) # Reset all analysis results when new dataset is loaded if reset_callback: reset_callback() diff --git a/functions/get_filters.py b/functions/get_filters.py index 206c215aa..aae179754 100644 --- a/functions/get_filters.py +++ b/functions/get_filters.py @@ -71,14 +71,20 @@ def get_filtered_table(input, database, df_filters, df_filtered): data = df_filters.get() # Apply filters based on user input - filtered_data = data[ - (data["PY"] >= input.year_slider()[0]) & # Filter by publication year range - (data["PY"] <= input.year_slider()[1]) & + year_range = input.year_slider() + avg_cit_range = input.average_citations_slider() + mask = ( + (data["PY"] >= year_range[0]) & # Filter by publication year range + (data["PY"] <= year_range[1]) & (data["LA"].isin(input.languages())) & # Filter by selected languages (data["DT"].isin(input.document_types())) & # Filter by selected document types - (data["Average_Citations_Per_Year"] >= input.average_citations_slider()[0]) & # Filter by average citations per year range - (data["Average_Citations_Per_Year"] <= input.average_citations_slider()[1]) - ] + (data["Average_Citations_Per_Year"] >= avg_cit_range[0]) & # Filter by average citations per year range + (data["Average_Citations_Per_Year"] <= avg_cit_range[1]) + ) + # PY is a nullable Int64 column: records with a missing year yield in + # the comparison mask. Coerce those to False so boolean indexing never + # raises "Cannot mask with non-boolean array containing NA / NaN values". + filtered_data = data[mask.fillna(False)] # Apply Bradford Law Zone filter based on user selection selected_zone = input.bradford() diff --git a/functions/get_localcitedauthors.py b/functions/get_localcitedauthors.py index e663192bc..5f539071d 100644 --- a/functions/get_localcitedauthors.py +++ b/functions/get_localcitedauthors.py @@ -39,7 +39,15 @@ def get_local_cited_authors(df, num_of_cited_authors, fast_search=False): author_counts = df_authors.groupby('AU')['LCS'].sum().reset_index() author_counts.columns = ["Authors", "N. of Local Citations"] author_counts = author_counts.sort_values(by="N. of Local Citations", ascending=False) - + + # Bail out gracefully when there are no local citations (e.g. sources + # without cited references): an empty table makes max() NaN and int(NaN) + # below would raise and wedge the Shiny session. + empty_msg = "No local cited authors for this dataset (the selected source provides no cited references)." + author_counts = author_counts.dropna(subset=["Authors"]) + if author_counts.empty or author_counts["N. of Local Citations"].fillna(0).sum() == 0: + return empty_plot(empty_msg), pd.DataFrame(columns=["Authors", "N. of Local Citations"]) + # Limit the number of authors to display if num_of_cited_authors > len(author_counts): num_of_cited_authors = len(author_counts) diff --git a/functions/get_localcitedreferences.py b/functions/get_localcitedreferences.py index 68ea11fef..8f881f1a4 100644 --- a/functions/get_localcitedreferences.py +++ b/functions/get_localcitedreferences.py @@ -14,7 +14,14 @@ def get_local_cited_refs(df, num_of_cited_refs, field_separator): A Plotly figure object and a DataFrame of the most local cited sources. """ data = df.get() - + + # Guard: a source with no cited references (e.g. a Scopus CSV, PubMed or + # Dimensions export) leaves CR empty. Return a placeholder instead of + # letting the exception wedge the Shiny session. + empty_msg = "No cited references available for this dataset (the selected source provides no cited references)." + if data.empty or "CR" not in data.columns: + return empty_plot(empty_msg), pd.DataFrame(columns=["Cited References", "Citations"]) + if isinstance(data["CR"].iloc[0], list): # Check if the first element is a list # Flatten the 'CR' column containing lists source_counts = ( @@ -31,6 +38,13 @@ def get_local_cited_refs(df, num_of_cited_refs, field_separator): # Filter out unwanted references source_counts = source_counts[source_counts["Cited References"] != "ANONYMOUS, NO TITLE CAPTURED"] + # Drop null/empty references; bail out gracefully if nothing usable remains + # (otherwise the empty max() below becomes NaN and int(NaN) raises). + source_counts = source_counts.dropna(subset=["Cited References"]) + source_counts = source_counts[source_counts["Cited References"].astype(str).str.strip() != ""] + if source_counts.empty: + return empty_plot(empty_msg), pd.DataFrame(columns=["Cited References", "Citations"]) + # Limit the number of sources to display if num_of_cited_refs > len(source_counts): num_of_cited_refs = len(source_counts) diff --git a/functions/get_localcitedsources.py b/functions/get_localcitedsources.py index 74b261455..305b02a40 100644 --- a/functions/get_localcitedsources.py +++ b/functions/get_localcitedsources.py @@ -17,7 +17,15 @@ def get_local_cited_sources(df, num_of_cited_sources): df = metaTagExtraction(df, "CR_SO") data = df.get() - + + # Guard: a source with no cited references (e.g. a Scopus CSV, PubMed or + # Dimensions export) produces an empty / all-null CR_SO column. Return a + # friendly placeholder instead of letting the exception propagate out of + # the Shiny render and wedge the whole session. + empty_msg = "No local cited sources for this dataset (the selected source provides no cited references)." + if data.empty or "CR_SO" not in data.columns or data["CR_SO"].notna().sum() == 0: + return empty_plot(empty_msg), pd.DataFrame(columns=["Sources", "N. of Local Citations"]) + if isinstance(data["CR_SO"].iloc[0], list): # Check if the first element is a list # Flatten the 'CR_SO' column containing lists source_counts = ( @@ -31,6 +39,13 @@ def get_local_cited_sources(df, num_of_cited_sources): source_counts = data["CR_SO"].str.split(";").explode().value_counts().reset_index() source_counts.columns = ["Sources", "N. of Local Citations"] + # Drop null/empty source names; bail out gracefully if nothing usable + # remains (otherwise the empty max() below becomes NaN and int(NaN) raises). + source_counts = source_counts.dropna(subset=["Sources"]) + source_counts = source_counts[source_counts["Sources"].astype(str).str.strip() != ""] + if source_counts.empty: + return empty_plot(empty_msg), pd.DataFrame(columns=["Sources", "N. of Local Citations"]) + # Limit the number of sources to display if num_of_cited_sources > len(source_counts): num_of_cited_sources = len(source_counts) diff --git a/functions/get_sourcesproduction.py b/functions/get_sourcesproduction.py index 0795668d7..7c8a43db9 100644 --- a/functions/get_sourcesproduction.py +++ b/functions/get_sourcesproduction.py @@ -15,6 +15,20 @@ def get_sources_production(df, num_of_sources_production, occurences): """ data = df.get() + # Drop records without a usable publication year. PY is a nullable Int64 + # column at the dashboard boundary, and the str/int round-trip below would + # otherwise turn into the literal "" and crash on astype(int). + # We filter into a *local* wrapper instead of mutating the shared reactive + # value (df.set would drop those rows from every other analysis tab too). + if "PY" in data.columns and data["PY"].isna().any(): + data = data[data["PY"].notna()] + + class _LocalDF: + """Lightweight df.get() shim so cocMatrix sees the filtered rows.""" + def __init__(self, d): self._d = d + def get(self): return self._d + df = _LocalDF(data) + # Calculate the number of publications per year for each source WSO = cocMatrix(df, Field="SO") if WSO.shape[1] == 1: diff --git a/www/services/etl_pipeline.py b/www/services/etl_pipeline.py index b0654a899..733d44092 100644 --- a/www/services/etl_pipeline.py +++ b/www/services/etl_pipeline.py @@ -272,7 +272,10 @@ def extract(self, data_path: str, source_db: str, file_type: str) -> pd.DataFram raw_entries = parse_wos_data(data_path) df_raw = pd.DataFrame(raw_entries) else: - raise ValueError(f"Unsupported file type '{file_type}' for Web of Science source.") + raise ValueError( + f"Unsupported file type '{file_type}' for Web of Science. " + f"Accepted formats: .txt / .ciw (plain-text export) or .bib (BibTeX)." + ) # Scopus elif source_db_key == "scopus": @@ -287,7 +290,10 @@ def extract(self, data_path: str, source_db: str, file_type: str) -> pd.DataFram elif file_type == ".csv": df_raw = _read_csv_safe(data_path) else: - raise ValueError(f"Unsupported file type '{file_type}' for Scopus source.") + raise ValueError( + f"Unsupported file type '{file_type}' for Scopus. " + f"Accepted formats: .csv or .bib (BibTeX)." + ) # Dimensions elif source_db_key == "dimensions": @@ -296,14 +302,20 @@ def extract(self, data_path: str, source_db: str, file_type: str) -> pd.DataFram elif file_type == ".csv": df_raw = _read_csv_safe(data_path, skiprows=1) else: - raise ValueError(f"Unsupported file type '{file_type}' for Dimensions source.") + raise ValueError( + f"Unsupported file type '{file_type}' for Dimensions. " + f"Accepted formats: .xlsx or .csv." + ) # Lens.org elif source_db_key in ("lens", "the_lens"): if file_type == ".csv": df_raw = _read_csv_safe(data_path) else: - raise ValueError(f"Unsupported file type '{file_type}' for Lens source.") + raise ValueError( + f"Unsupported file type '{file_type}' for Lens.org. " + f"Accepted format: .csv." + ) # PubMed elif source_db_key == "pubmed": @@ -311,7 +323,12 @@ def extract(self, data_path: str, source_db: str, file_type: str) -> pd.DataFram raw_entries = parse_pubmed_data(data_path) df_raw = pd.DataFrame(raw_entries) else: - raise ValueError(f"Unsupported file type '{file_type}' for PubMed source.") + raise ValueError( + f"Unsupported file type '{file_type}' for PubMed. " + f"PubMed exports must be MEDLINE/PubMed-format .txt files " + f"(there is no PubMed .csv export) — make sure the selected " + f"database matches the file you uploaded." + ) # Cochrane elif source_db_key == "cochrane": @@ -319,7 +336,10 @@ def extract(self, data_path: str, source_db: str, file_type: str) -> pd.DataFram raw_entries = parse_cochrane_data(data_path) df_raw = pd.DataFrame(raw_entries) else: - raise ValueError(f"Unsupported file type '{file_type}' for Cochrane source.") + raise ValueError( + f"Unsupported file type '{file_type}' for Cochrane Library. " + f"Accepted format: .txt (Cochrane plain-text export)." + ) else: raise ValueError(f"Unknown database source '{source_db}'") diff --git a/www/services/utils.py b/www/services/utils.py index 7bd830906..9dbaea32a 100644 --- a/www/services/utils.py +++ b/www/services/utils.py @@ -225,5 +225,48 @@ def empty_plot(message: str = "Click RUN to generate analysis") -> "go.Figure": height=400, autosize=True ) - - return fig \ No newline at end of file + + return fig + + +def normalize_dashboard_types(df: "pd.DataFrame") -> "pd.DataFrame": + """ + Coerce contract-numeric columns to numeric dtypes at the dashboard boundary. + + The source-agnostic ETL emits ``PY`` (publication year) as a 4-digit + *string* and the dashboard rebuilds its working DataFrame via + :func:`pandas.read_json` / :func:`pandas.read_excel`. When some records + have a missing year (common for Scopus, PubMed, Dimensions, …) the empty + string poisons pandas' automatic numeric inference, so the whole ``PY`` + column stays ``object``/``str``. Every analysis function that does year + arithmetic (``Min_Year``/``Max_Year``, CAGR, *Average citations per year*, + the *Filters* tab, *Most cited documents*, …) then fails with + ``unsupported operand type(s) for -: 'str' and 'str'``. + + This helper is applied once, the moment any DataFrame enters the + dashboard's reactive store, so every downstream tab sees the same numeric + contract regardless of the original database: + + - ``PY`` → nullable ``Int64`` (years stay integers; missing years become + ```` instead of a year-breaking ``0``, and arithmetic / ``min`` / + ``max`` / ``groupby`` all skip them). + - ``TC`` → numeric (citation counts), with missing values imputed to ``0``. + + Absent columns are ignored, so non-WoS schemas and the sample/Excel inputs + are handled safely. + + Args: + df: The DataFrame just loaded into the dashboard (from JSON, Excel or + the live API path). + + Returns: + The same DataFrame with ``PY``/``TC`` normalised. The input is mutated + in place and also returned for convenient chaining. + """ + if df is None or not isinstance(df, pd.DataFrame) or df.empty: + return df + if "PY" in df.columns: + df["PY"] = pd.to_numeric(df["PY"], errors="coerce").astype("Int64") + if "TC" in df.columns: + df["TC"] = pd.to_numeric(df["TC"], errors="coerce").fillna(0) + return df \ No newline at end of file From 3aeb01bc8b103cba38def77c3214f02cefbe673c Mon Sep 17 00:00:00 2001 From: Mattia De Nicola Date: Mon, 1 Jun 2026 16:27:17 +0200 Subject: [PATCH 05/10] fix(dashboard): rendi tutti i plot/table source-agnostic (Overview in poi) Audit di tutte le funzioni di analisi su 5 sorgenti (Scopus/PubMed/WoS/ Dimensions/Lens): 28 fallimenti -> 0. Cause e fix: - get_affiliationproductionovertime: leggeva AU_UN senza mai estrarlo (KeyError su TUTTE le sorgenti). Ora estrae AU_UN on-demand via metaTagExtraction, allinea gli anni alle righe ritenute e mostra un placeholder se manca C1. - get_localcitedauthors / get_localciteddocuments: histNetwork restituisce None per sorgenti senza CR (PubMed/Dimensions/Lens) -> crash 'NoneType not subscriptable' che congelava la UI. Guardia if H is None -> placeholder. - get_referencesspectroscopy: su sorgenti senza CR, range(NaN,NaN) sollevava 'float cannot be interpreted as integer'. Filtra anni validi + placeholder. - get_citedcountries / get_citeddocuments: x/x.max() con max=0 (PubMed TC=0, Lens senza paesi) -> size NaN nei marker. Divisore sicuro + placeholder se la tabella e' vuota. - get_wordcloud / get_trendtopics: campo keyword (ID) vuoto su PubMed/ Dimensions/Lens -> IndexError / cocMatrix None. Guardie -> placeholder. - get_wordfrequency: chiamava term_extraction anche per ID/DE (CountVectorizer 'empty vocabulary'); ora solo per TI/AB. keyword_growth: dropna sugli anni e cast int (PY e' Int64 nullable) + early-return se il campo e' vuoto. Nota ambiente: i corpora NLTK (stopwords/punkt/wordnet) non erano installati nella venv -> word_frequency falliva ovunque. Scaricati. Verificato: audit 155 celle = 0 FAIL; test_etl_pipeline.py PASS=8 N/A=4 FAIL=0. --- .../get_affiliationproductionovertime.py | 22 ++++++++++-- functions/get_citedcountries.py | 11 +++++- functions/get_citeddocuments.py | 8 ++++- functions/get_localcitedauthors.py | 7 +++- functions/get_localciteddocuments.py | 9 ++++- functions/get_referencesspectroscopy.py | 9 +++++ functions/get_trendtopics.py | 13 ++++++- functions/get_wordcloud.py | 8 ++++- functions/get_wordfrequency.py | 34 ++++++++++++++----- 9 files changed, 105 insertions(+), 16 deletions(-) diff --git a/functions/get_affiliationproductionovertime.py b/functions/get_affiliationproductionovertime.py index e1b87f583..41eab0cd6 100644 --- a/functions/get_affiliationproductionovertime.py +++ b/functions/get_affiliationproductionovertime.py @@ -12,13 +12,31 @@ def get_affiliation_production_over_time(df, top_k_affiliations): Returns: A Plotly figure object representing the affiliation's production over time. """ + # Ensure the affiliation-university tag (AU_UN) exists. It is a derived + # field (extracted from C1), NOT part of the standardized ETL schema, so it + # must be computed on demand for every source. Without this the function + # raised KeyError: 'AU_UN' on all databases. data = df.get() + if "AU_UN" not in data.columns: + df = metaTagExtraction(df, "AU_UN") + data = df.get() - AFF = data["AU_UN"].dropna().apply(lambda x: [aff for aff in x if aff.strip() != ""]) + # Affiliations require C1 data: sources without affiliations (e.g. some + # Lens exports) yield an all-empty AU_UN. Return a placeholder rather than + # building an empty plot that would crash on .max() of an empty frame. + empty_msg = "No affiliation data available for this dataset." + if "AU_UN" not in data.columns or data["AU_UN"].notna().sum() == 0: + return empty_plot(empty_msg), pd.DataFrame(columns=["Affiliation", "Year", "Articles"]) + + AFF = data["AU_UN"].dropna().apply( + lambda x: [aff for aff in (x if isinstance(x, list) else str(x).split(";")) if aff.strip() != ""] + ) nAFF = [len(aff) for aff in AFF] affiliations = [aff for sublist in AFF for aff in sublist] - years = data["PY"].repeat(nAFF).values[:len(affiliations)] + # Repeat the publication year of each *retained* row (AFF.index), not of the + # full frame, so years stay aligned with affiliations when AU_UN has NaNs. + years = data.loc[AFF.index, "PY"].repeat(nAFF).values[:len(affiliations)] AFFY = pd.DataFrame({ "Affiliation": affiliations, "Year": years diff --git a/functions/get_citedcountries.py b/functions/get_citedcountries.py index ac95a8d0c..c587429cc 100644 --- a/functions/get_citedcountries.py +++ b/functions/get_citedcountries.py @@ -43,9 +43,18 @@ def get_cited_countries(df, num_of_cited_countries, cited_countries_measure): # Prepare data for plotting tab = tab.reset_index(drop=True) + # Sources without affiliation/country data (e.g. some Lens exports) produce + # an empty table; the int(max_x) tick math below would then choke on NaN. + empty_msg = "No cited countries available for this dataset (no affiliation/country data)." + if tab.empty: + return empty_plot(empty_msg), pd.DataFrame(columns=["Country", "TotalCitation", "AverageArticleCitations"]) y_labels = tab["Country"] x_values = tab.iloc[:, 1] n = len(tab) + # Guard the marker-size scaling: when every value is 0 (e.g. a source whose + # records all have TC=0, like PubMed), x_values.max() is 0 and the division + # yields NaN sizes that Plotly rejects. + size_div = x_values.max() if x_values.max() else 1 fig = go.Figure() @@ -68,7 +77,7 @@ def get_cited_countries(df, num_of_cited_countries, cited_countries_measure): y=list(range(n)), mode="markers+text", marker=dict( - size=18 + 6 * (x_values / x_values.max()), + size=18 + 6 * (x_values / size_div), color=x_values, colorscale=[[0, "#B3D1F2"], [1, "#5567BB"]], line=dict(width=1, color="#E0E0E0"), diff --git a/functions/get_citeddocuments.py b/functions/get_citeddocuments.py index 14491f74a..fbf2e0a11 100644 --- a/functions/get_citeddocuments.py +++ b/functions/get_citeddocuments.py @@ -48,6 +48,12 @@ def get_cited_documents(df, num_of_cited_docs, cited_docs_measure): tab = tab.sort_values(by="TCperYear", ascending=False)[["Document", "TCperYear", "NormalizedTC"]] laby = "Global Citations per Year" + # Guard the marker-size scaling and tick math: when the chosen measure is 0 + # for every document (e.g. PubMed records all have TC=0), .max() is 0 and + # the division yields NaN sizes that Plotly rejects. + measure_col = tab.columns[1] + size_div = tab[measure_col].max() if len(tab) and tab[measure_col].max() else 1 + # Create the plot (horizontal scatter with lines, similar to author plot) fig = go.Figure() @@ -74,7 +80,7 @@ def get_cited_documents(df, num_of_cited_docs, cited_docs_measure): y=y_vals, mode="markers+text", marker=dict( - size=18 + 6 * (tab[tab.columns[1]] / tab[tab.columns[1]].max()), + size=18 + 6 * (tab[measure_col] / size_div), color=tab[tab.columns[1]], colorscale=[[0, "#B3D1F2"], [1, "#5567BB"]], line=dict(width=1, color="#E0E0E0"), diff --git a/functions/get_localcitedauthors.py b/functions/get_localcitedauthors.py index 5f539071d..75ac29b07 100644 --- a/functions/get_localcitedauthors.py +++ b/functions/get_localcitedauthors.py @@ -25,8 +25,13 @@ def get_local_cited_authors(df, num_of_cited_authors, fast_search=False): # Fill missing values M['TC'] = M['TC'].fillna(0) - # Create a histogram network + # Create a histogram network. histNetwork returns None when the source has + # no cited-references (CR) metadata (PubMed/Dimensions/Lens) or an + # unsupported DB: bail out with a placeholder instead of subscripting None. + empty_msg = "No local cited authors for this dataset (the selected source provides no cited references)." H = histNetwork(df, min_citations=loccit, sep=";", network=False) + if H is None: + return empty_plot(empty_msg), pd.DataFrame(columns=["Authors", "N. of Local Citations"]) LCS = H['histData'] M = H['M'] diff --git a/functions/get_localciteddocuments.py b/functions/get_localciteddocuments.py index 1dea8d5a5..f3052df3d 100644 --- a/functions/get_localciteddocuments.py +++ b/functions/get_localciteddocuments.py @@ -25,8 +25,15 @@ def get_local_cited_documents(df, num_of_local_cited_docs, field_separator, fast # Fill missing values M['TC'] = M['TC'].fillna(0) - # Create a histogram network + # Create a histogram network. histNetwork returns None when the source has + # no cited-references (CR) metadata (PubMed/Dimensions/Lens) or an + # unsupported DB: bail out with a placeholder instead of subscripting None. + empty_msg = "No local cited documents for this dataset (the selected source provides no cited references)." H = histNetwork(df, min_citations=loccit, sep=";", network=False) + if H is None: + return empty_plot(empty_msg), pd.DataFrame( + columns=["Document", "DOI", "Year", "Local Citations", "Global Citations"] + ) LCS = H['histData'] M = H['M'] diff --git a/functions/get_referencesspectroscopy.py b/functions/get_referencesspectroscopy.py index a2c3e1522..9d7557647 100644 --- a/functions/get_referencesspectroscopy.py +++ b/functions/get_referencesspectroscopy.py @@ -43,6 +43,15 @@ def get_references_spectroscopy(df, start_year, end_year=2005, field_separator_s start_year = start_year if start_year is not None else 1700 end_year = end_year if end_year is not None else current_year ref_df = ref_df[(ref_df['CitedYear'] >= start_year) & (ref_df['CitedYear'] <= end_year)] + # Keep only real cited years: a missing year was coded as 0 above, and + # sources without cited references (PubMed/Dimensions/Lens) leave ref_df + # empty. In either case year_seq.min()/max() below would be NaN and + # range(NaN, NaN) raises. Return a placeholder instead. + ref_df = ref_df[ref_df['CitedYear'] > 0] + empty_msg = "No cited references with a parseable year for this dataset (RPYS requires cited references)." + if ref_df.empty: + empty_cols = ['CitedYear', 'Citations', 'DiffMedian5', 'DiffMedian', 'TopReferences'] + return empty_plot(empty_msg), pd.DataFrame(columns=empty_cols), pd.DataFrame(columns=['Year', 'Reference', 'Local Citations', 'GoogleLink']) # Calcolo delle citazioni per anno cr_table = ref_df.groupby(['CitedYear', 'Reference']).size().reset_index(name='Freq') diff --git a/functions/get_trendtopics.py b/functions/get_trendtopics.py index 1d2f1df3a..55c06a519 100644 --- a/functions/get_trendtopics.py +++ b/functions/get_trendtopics.py @@ -50,6 +50,12 @@ def get_trend_topics(df, ngram, field_tt, time_window, file_upload_terms_tt, fil # Get trend topics trend_topics = field_by_year(df, field, time_window, word_minimum_frequency, number_of_words_year, remove_terms, synonyms) + # No terms for the chosen field/timespan (e.g. ID empty on PubMed/Dimensions/ + # Lens): return a clean placeholder instead of plotting an empty scatter. + if trend_topics is None or trend_topics.empty: + return empty_plot("No trend topics for the selected field (this source has no data for that field)."), \ + pd.DataFrame(columns=['year_q1', 'year_med', 'year_q3', 'freq', 'item']) + # Plot fig = px.scatter(trend_topics, x='year_med', y='item', size='freq', hover_data=['year_q1', 'year_q3'], height=800) fig.update_layout( @@ -96,8 +102,13 @@ def get_trend_topics(df, ngram, field_tt, time_window, file_upload_terms_tt, fil return fig, trend_topics def field_by_year(df, field, timespan, min_freq, n_items, remove_terms=None, synonyms=None): - # Create co-occurrence matrix + # Create co-occurrence matrix. cocMatrix returns None when the chosen field + # is empty for this source (e.g. Keywords Plus / ID is absent in PubMed, + # Dimensions and Lens exports). Return an empty, well-typed frame so the + # caller can render a clean "no data" plot instead of crashing on None.sum. A = cocMatrix(df, Field=field, binary=False, remove_terms=remove_terms, synonyms=synonyms) + if A is None: + return pd.DataFrame(columns=['year_q1', 'year_med', 'year_q3', 'freq', 'item']) n = A.sum(axis=0).to_numpy() # Convert to 1D array df = df.get() diff --git a/functions/get_wordcloud.py b/functions/get_wordcloud.py index e902f3bd6..8d14b3c00 100644 --- a/functions/get_wordcloud.py +++ b/functions/get_wordcloud.py @@ -60,7 +60,13 @@ def get_wordcloud(df, ngram, num_of_words_wc, field_wc, file_upload_terms_wc, fi colors = [c for c in mcolors.CSS4_COLORS.values() if is_legible_on_white(c)] sorted_words = sorted(word_frequencies.items(), key=lambda x: x[1], reverse=True) - center_word = sorted_words[0][0] + # The chosen field can be empty for a given source (e.g. Keywords Plus / ID + # is absent in PubMed, Dimensions and Lens exports). With no words there is + # nothing to draw: return an empty result so the caller shows a clean table + # instead of crashing on sorted_words[0]. + if not sorted_words: + return None, table + center_word = sorted_words[0][0] compact_radius = radius * 0.6 diff --git a/functions/get_wordfrequency.py b/functions/get_wordfrequency.py index 1f2b81a06..d2be57dd7 100644 --- a/functions/get_wordfrequency.py +++ b/functions/get_wordfrequency.py @@ -37,18 +37,26 @@ def get_word_frequency(df, ngram, field_wf, file_upload_terms_wf, file_upload_sy # Set ngrams based on word_type ngrams = int(ngram) if field_wf in ['TI', 'AB'] else 1 - data = term_extraction(df, field=field_wf, stemming=False, verbose=False, - ngrams=ngrams, remove_terms=remove_terms, synonyms=synonyms) - data = data.get() - if field_wf == 'TI': - print(data[f"{field_wf}_TM"]) - - # Calculate word frequency + # term_extraction tokenises free text and is only needed for Titles (TI) + # and Abstracts (AB); its output column ``{field}_TM`` is consumed only in + # those two branches. For pre-tokenised keyword fields (ID / DE) it is both + # unnecessary and harmful: on sources where the field is empty (e.g. + # Keywords Plus / ID is absent in PubMed, Dimensions and Lens), + # CountVectorizer raises "empty vocabulary". So run it only for TI/AB. if field_wf in ['AB', 'TI']: + data = term_extraction(df, field=field_wf, stemming=False, verbose=False, + ngrams=ngrams, remove_terms=remove_terms, synonyms=synonyms) + data = data.get() word_freq = keyword_growth(data, tag=f"{field_wf}_TM", top=top_words[1], cdf=(occurrences == 'cumulate'), remove_terms=remove_terms, synonyms=synonyms) else: + data = df.get() word_freq = keyword_growth(data, tag=field_wf, top=top_words[1], cdf=(occurrences == 'cumulate'), remove_terms=remove_terms, synonyms=synonyms) + # No terms for the chosen field on this source (e.g. ID empty on PubMed/ + # Dimensions/Lens): return a clean placeholder instead of an empty melt/plot. + if word_freq is None or word_freq.empty or len(word_freq.columns) <= 1: + return empty_plot("No word-frequency data for the selected field (this source has no data for that field)."), \ + pd.DataFrame(columns=["Year"]) # Select terms between top_words[1] and top_words[2] word_freq = word_freq[['Year'] + word_freq.columns[top_words[0]:top_words[1] + 1].tolist()] @@ -145,9 +153,19 @@ def keyword_growth(df, tag, sep=";", top=10, cdf=True, remove_terms=None, synony for main_term, syns in synonyms.items(): data['Term'] = data['Term'].replace(syns, main_term.upper()) + # Drop rows whose year could not be parsed (PY is a nullable Int64 column, + # so missing years arrive as ). Without this the min()/max() below are + # NAType and range() raises "'NAType' object cannot be interpreted as int". + data = data.dropna(subset=['Year']) + data = data[data['Term'].astype(str).str.strip() != ""] + # Empty field for this source (e.g. ID absent in PubMed/Dimensions/Lens): + # hand back just the Year column so the caller shows a clean placeholder. + if data.empty: + return pd.DataFrame(columns=['Year']) + # Aggregazione freq = data.groupby(['Term', 'Year']).size().reset_index(name='Freq') - year_range = range(data['Year'].min(), data['Year'].max() + 1) + year_range = range(int(data['Year'].min()), int(data['Year'].max()) + 1) # Selezione dei termini più frequenti top_terms = freq.groupby('Term')['Freq'].sum().nlargest(top).index From dc011fb29d612c38b78e7ba12cd73f1359609ad0 Mon Sep 17 00:00:00 2001 From: Mattia De Nicola Date: Mon, 1 Jun 2026 16:43:00 +0200 Subject: [PATCH 06/10] chore: rimuovi file di lavoro (backup requirements e dataset sources/new non usati) --- requirements.txt.bak-20260531 | 125 - sources/new/COCHRANE/citation-export.txt | 3122 - .../PUBMED/BiblioshinyReport-2025-07-14.xlsx | Bin 10348291 -> 0 bytes sources/new/PUBMED/pubmed-coronaryhe-set.txt | 102123 --------------- sources/new/SCOPUS/scopus_collection.csv | 201 - sources/new/THE LENS/lens-export.csv | 1005 - sources/new/WOS/WoS_collection.txt | 20888 --- 7 files changed, 127464 deletions(-) delete mode 100644 requirements.txt.bak-20260531 delete mode 100644 sources/new/COCHRANE/citation-export.txt delete mode 100644 sources/new/PUBMED/BiblioshinyReport-2025-07-14.xlsx delete mode 100644 sources/new/PUBMED/pubmed-coronaryhe-set.txt delete mode 100644 sources/new/SCOPUS/scopus_collection.csv delete mode 100644 sources/new/THE LENS/lens-export.csv delete mode 100644 sources/new/WOS/WoS_collection.txt diff --git a/requirements.txt.bak-20260531 b/requirements.txt.bak-20260531 deleted file mode 100644 index 22e10d244..000000000 --- a/requirements.txt.bak-20260531 +++ /dev/null @@ -1,125 +0,0 @@ -altair==5.5.0 -annotated-types==0.7.0 -anyio==4.9.0 -appdirs==1.4.4 -asgiref==3.8.1 -asttokens==2.4.1 -attrs==25.3.0 -bibtexparser==1.4.1 -cachetools==5.5.2 -certifi==2025.4.26 -cffi==1.17.1 -charset-normalizer==3.4.2 -click==8.1.7 -colorama==0.4.6 -comm==0.2.2 -contourpy==1.3.0 -cycler==0.12.1 -decorator==5.1.1 -et-xmlfile==1.1.0 -exceptiongroup==1.2.2 -executing==2.1.0 -faicons==0.2.2 -fonttools==4.55.3 -geopandas==1.0.1 -google-auth==2.40.2 -google-genai==1.16.1 -graphviz==0.20.3 -h11==0.16.0 -htmltools==0.6.0 -httpcore==1.0.9 -httpx==0.28.1 -idna==3.10 -igraph==0.11.8 -importlib_resources==6.4.5 -ipython==8.18.0 -ipywidgets==8.1.5 -itables==2.2.3 -jedi==0.19.1 -Jinja2==3.1.5 -joblib==1.4.2 -jsonpickle==4.0.1 -jsonschema==4.23.0 -jsonschema-specifications==2025.4.1 -jupyter_core==5.7.2 -jupyterlab_widgets==3.0.13 -kaleido -kiwisolver==1.4.7 -linkify-it-py==2.0.3 -lxml==5.4.0 -markdown-it-py==3.0.0 -MarkupSafe==3.0.2 -matplotlib==3.9.4 -matplotlib-inline==0.1.7 -mdit-py-plugins==0.4.2 -mdurl==0.1.2 -narwhals==1.37.1 -networkx==3.2.1 -nltk==3.9.1 -numpy==2.0.2 -openpyxl==3.1.5 -orjson==3.10.18 -outcome==1.3.0.post0 -packaging==24.1 -pandas==2.2.3 -parso==0.8.4 -pillow==11.0.0 -platformdirs==4.3.6 -plotly==5.24.1 -prince==0.14.0 -prompt-toolkit==3.0.36 -pure_eval==0.2.3 -pyasn1==0.6.1 -pyasn1_modules==0.4.2 -pycparser==2.22 -pydantic==2.11.5 -pydantic_core==2.33.2 -Pygments==2.18.0 -pyogrio==0.10.0 -pyparsing==3.1.4 -pyproj==3.6.1 -PySocks==1.7.1 -python-dateutil==2.9.0.post0 -python-multipart==0.0.12 -pytz==2024.2 -pyvis==0.3.2 -pywin32==306 -questionary==2.0.1 -referencing==0.36.2 -regex==2024.11.6 -requests==2.32.3 -rpds-py==0.24.0 -rsa==4.9.1 -scikit-learn==1.5.2 -scipy==1.13.1 -selenium==4.33.0 -shapely==2.0.6 -shiny==1.4.0 -shinyswatch==0.7.0 -shinywidgets==0.3.3 -six==1.16.0 -sniffio==1.3.1 -sortedcontainers==2.4.0 -stack-data==0.6.3 -starlette==0.39.2 -tenacity==9.0.0 -texttable==1.7.0 -threadpoolctl==3.5.0 -tqdm==4.67.0 -traitlets==5.14.3 -trio==0.30.0 -trio-websocket==0.12.2 -typing-inspection==0.4.1 -typing_extensions==4.13.2 -tzdata==2024.2 -uc-micro-py==1.0.3 -urllib3==2.4.0 -uvicorn==0.31.0 -watchfiles==0.24.0 -wcwidth==0.2.13 -websocket-client==1.8.0 -websockets==13.1 -widgetsnbextension==4.0.13 -wordcloud==1.9.4 -wsproto==1.2.0 -zipp==3.21.0 diff --git a/sources/new/COCHRANE/citation-export.txt b/sources/new/COCHRANE/citation-export.txt deleted file mode 100644 index 07b28e609..000000000 --- a/sources/new/COCHRANE/citation-export.txt +++ /dev/null @@ -1,3122 +0,0 @@ -Record #1 of 151 -ID: CN-02521950 -AU: Levin G -AU: Harrison R -AU: Meyer R -AU: Ramirez PT -TI: Impact of podcasting on novel and conventional measures of academic impact -SO: International journal of gynecological cancer -YR: 2023 -VL: 33 -NO: 2 -PG: 183‐189 -PM: PUBMED 36631152 -PT: Journal article -KY: Bibliometrics; Humans; Neoplasms; Social Media -DOI: 10.1136/ijgc-2022-004114 -AB: OBJECTIVE: Altmetric Attention Score (AAS) is an alternative metric for estimating the impact of academic publications. We studied the association of using podcasting to highlight publications about gynecological cancer with AAS and citation scores. METHODS: Articles that were featured in the International Journal of Gynecological Cancer (IJGC) podcast series January 2019 to September 2022 were matched 1:1 to control articles by the journal in which the article was published, study topic and design, single/multicenter data, and year of publication. Podcast articles were compared with matched‐controls by citation metrics and altmetric scores. RESULTS: A total of 99 podcasted articles published in 16 journals were matched. Median AAS was significantly higher in the podcast group than the matched‐control group (22 (14‐42) vs 5 (1‐17), p<0.001). In a multivariable regression analysis, podcasting was the only factor associated with a high AAS (adjusted odds ratio (aOR) 8.6, 95% CI 3.8 to 19.7). In the podcast group, the median number of citations per year was higher than matched‐control studies (5.5 (3.0‐12.7) vs 4.5 (2.0‐9.5), p=0.047). The only article characteristics that were independently associated with ≥12 citations per year were if the publication described a randomized controlled trial (aOR 4.7, 95% CI 1.6 to 13.6) or featured cervical carcinoma as the subject focus (aOR 2.9, 95% CI 1.3 to 6.5). Compared with all articles published in IJGC during the study period, articles that were featured in a podcast had higher median citations per year (5 (2‐10) vs 1 (0‐2.5), p<0.001). CONCLUSION: When compared with matched‐controls, podcasting an article is associated with a higher AAS but is not associated with generating a high (≥12) number of citations per year. When compared with all articles published in the same journal during the same study period, articles that were featured in a podcast had higher median citations per year. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02521950/full - - -Record #2 of 151 -ID: CN-01724674 -AU: Cai Y -AU: Zhao T-M -AU: Wang R -TI: Bibliometric analysis of Chinese research papers on biofilm -SO: Chinese journal of evidence-based medicine -YR: 2008 -VL: 8 -NO: 11 -PG: 1016‐1019 -XR: EMBASE 352774761 -PT: Journal article -KY: *bibliometrics; *biofilm; *medical research; Article; China; Data base; Financial management; Information processing; Information retrieval; Medline; Methodology; Pseudomonas aeruginosa; Quality control; Randomized controlled trial; Staphylococcus -AB: Objective: To investigate the development of biofilm research over the last 10 years in China based on a bibliometric approach. Methods: We searched PubMed (1997 to 2007), China Hospital Knowledge Database (1997 to 2007), and VIP Chinese Journal Database (1997 to 2007). Quality assessment and data collection were performed by two reviewers independently. The amount of literature, research institutions, financial assistance, and contents of biofilm research were analyzed. Results: A total of 240 Chinese papers were included. Colleges were the leading research institutions in China, and most of research focused on pseudomonas aeruginosa and staphylococci, primarily based on in vitro models. Available antibiotics were the main measures for biofilm control. Only 4 RCTs with a C grade in terms of methodological quality were included. Conclusion: Biofilm research in China can keep pace with the international development, but its integration with engineering, material science and immunology needs to be strengthened. © 2008 Editorial Board of Chin J Evid‐based Med. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01724674/full - - -Record #3 of 151 -ID: CN-02390172 -AU: Frachtenberg E -AU: Kaner RD -TI: Underrepresentation of women in computer systems research -SO: PloS one -YR: 2022 -VL: 17 -NO: 4 -PG: e0266439 -PM: PUBMED 35385516 -PT: Journal article -KY: Bibliometrics; Computer Systems; Female; Humans; Male; Research Personnel -DOI: 10.1371/journal.pone.0266439 -AB: The gender gap in computer science (CS) research is a well‐studied problem, with an estimated ratio of 15%‐30% women researchers. However, far less is known about gender representation in specific fields within CS. Here, we investigate the gender gap in one large field, computer systems. To this end, we collected data from 72 leading peer‐reviewed CS conferences, totalling 6,949 accepted papers and 19,829 unique authors (2,946 women, 16,307 men, the rest unknown). We combined these data with external demographic and bibliometric data to evaluate the ratio of women authors and the factors that might affect this ratio. Our main findings are that women represent only about 10% of systems researchers, and that this ratio is not associated with various conference factors such as size, prestige, double‐blind reviewing, and inclusivity policies. Author research experience also does not significantly affect this ratio, although author country and work sector do. The 10% ratio of women authors is significantly lower than the 16% in the rest of CS. Our findings suggest that focusing on inclusivity policies alone cannot address this large gap. Increasing women's participation in systems research will require addressing the systemic causes of their exclusion, which are even more pronounced in systems than in the rest of CS. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02390172/full - - -Record #4 of 151 -ID: CN-02657883 -AU: Trueger NS -AU: Aly E -AU: Haneuse S -AU: Huang E -AU: Berkwits M -TI: Randomized Clinical Trial Visual Abstract Display and Social Media-Driven Website Traffic -SO: JAMA -YR: 2023 -VL: 330 -NO: 16 -PG: 1583‐1585 -PM: PUBMED 37773505 -XR: EMBASE 2028073082 -PT: Journal article -KY: *Social Media; *social media; Bibliometrics; Controlled study; Human; Humans; Letter; Randomized controlled trial; Social Networking -DOI: 10.1001/jama.2023.16839 -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02657883/full - - -Record #5 of 151 -ID: CN-01718002 -AU: Bohl MA -AU: Turner JD -AU: Little AS -AU: Nakaji P -AU: Ponce FA -TI: Assessing the Relevancy of "Citation Classics" in Neurosurgery. Part II: foundational Papers in Neurosurgery -SO: World neurosurgery -YR: 2017 -VL: 104 -PG: 939‐966 -PM: PUBMED 28438655 -XR: EMBASE 616717418 -PT: Journal article -KY: *Bibliometrics; *neurosurgery; Clinical decision making; Controlled clinical trial; Controlled study; History, 20th Century; History, 21st Century; Human; Humans; Medicine; Neurosurgeon; Neurosurgery [*history]; Prospective study; Publications [*history]; Randomized controlled trial; Spine; Student; United States; Web of Science -DOI: 10.1016/j.wneu.2017.03.150 -AB: Background: The second part of this study reanalyzes Ponce and Lozano's (2010) list of classics to create a new list of “foundational” articles in neurosurgery. Ponce and Lozano (2010) previously published a list of 106 neurosurgery classics, as defined by Garfield and his 400 citation criterion. Methods: We used the Web of Science citation reports to create graphs for each study showing the total citations it received as a function of time. Each graph was subjectively analyzed independently and scored as “foundational” or “classic only,” based on whether the trend of citations received per year was uptrending, neutral, or downtrending. Results: Of the 101 evaluated classics, 53 qualified as foundational. Over half of these studies were published in Journal of Neurosurgery (13), New England Journal of Medicine (12), or Lancet (5). Grading systems, randomized trials, and prospective studies were most likely to achieve foundational status. Only 30% of functional and 17% of endovascular classics qualified as foundational (compared with 100% of spine classics), suggesting that these fields are rapidly changing or less mature subspecialties still developing a foundational literature base. Conclusion: By assessing citation counts as a function of time, we are able to differentiate classic neurosurgical studies that are critical to modern‐day practice from those that are primarily of historic interest. Given the exponential growth of literature in our field, analyses such as these will become increasingly important to both trainees and senior neurosurgeons who strive to educate themselves on the data that drive modern‐day clinical decision making. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01718002/full - - -Record #6 of 151 -ID: CN-02390381 -AU: Gowda PC -AU: Lobner K -AU: Hafezi-Nejad N -AU: Weiss CR -TI: Bibliometric analysis of interventional radiology studies in PubMed-indexed literature from 1991 to 2020 -SO: Clinical imaging -YR: 2022 -VL: 85 -PG: 43‐47 -PM: PUBMED 35240478 -PT: Journal article -KY: *Obstetrics; *Radiology, Interventional; Bibliometrics; Child; Female; Humans; Pregnancy; PubMed -DOI: 10.1016/j.clinimag.2022.02.024 -AB: PURPOSE: To evaluate interventional radiology (IR) research over time based on the study type of published articles and the visibility of articles to non‐radiology clinicians. METHODS: We performed a search of all PubMed‐indexed literature from January 1, 1991, through November 11, 2020, for clinical IR articles classified by their study type, categorized as: 1) meta‐analyses/systematic reviews/practice guidelines; 2) randomized controlled trials; 3) non‐randomized controlled trials; and 4) longitudinal/observational studies. Clinical IR articles were defined as those that met keyword criteria constructed from Society of Interventional Radiology procedure guides. Data were also collected on medical specialty journal categories that published IR‐related articles. RESULTS: When we examined the first vs. the last decade of our study period, the number of IR articles published increased across all study types: randomized controlled trials (374 to 2620; 601% change), longitudinal/observational studies (2324 to 12,447; 436%), meta‐analyses/systematic reviews/practice guidelines (1179 to 6135; 420%), non‐randomized controlled trials (471 to 2161; 359%). The journal categories with the highest mean percentage increase of IR articles across all study types were obstetrics and gynecology (659%), peripheral vascular disease (342%), and emergency medicine (221%). We found a decrease of IR articles published in surgery (‐6.0%), pediatrics (‐14%), and pulmonary (‐21%) journals. CONCLUSION: The number of IR articles grew quickly and at a similar rate compared with all PubMed‐indexed articles and increased as a proportion of articles published in non‐imaging specialty journals. This indicates greater visibility of IR studies for all clinicians and is encouraging towards the advancement of IR techniques. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02390381/full - - -Record #7 of 151 -ID: CN-02000076 -AU: Palacios-Marqués AM -AU: Carratala-Munuera C -AU: Martínez-Escoriza JC -AU: Gil-Guillen VF -AU: Lopez-Pineda A -AU: Quesada JA -AU: Orozco-Beltrán D -TI: Worldwide scientific production in obstetrics: a bibliometric analysis -SO: Irish journal of medical science -YR: 2019 -VL: 188 -NO: 3 -PG: 913‐919 -PM: PUBMED 30627959 -PT: Journal article -KY: Bibliometrics; Female; Humans; Obstetrics [*organization & administration]; Research Design [*trends] -DOI: 10.1007/s11845-018-1954-3 -AB: BACKGROUND: Randomised clinical trials are considered to be the most reliable study design for assessing the efficacy and safety of health interventions. AIMS: To analyse worldwide obstetrics research carried out through randomised clinical trials, from 2002 to 2013. METHODS: A bibliometric analysis was performed. Publications on obstetrics that were published journals indexed in the MEDLINE database from 2002 to 2013 were analysed. The major medical subject headings used in the search were obstetrics, pregnancy complications and obstetrics surgical procedures. The main study outcome was index of research productivity. RESULTS: Our study search strategy yielded a total of 142,659 articles and 9967 clinical trials. The growth rate of scientific production in obstetrics during this period was 55.43% (n = 5094). The growth rate of production of randomised clinical trials in this specialty, meanwhile, was 97.84% (n = 544). Most of the identified authors (n = 22,622, 71.21%) published only one paper during the study period. Patterns of co‐authorship among the 20 most productive authors were identified. After applying Bradford's law, six journals in the nucleus (the most prolific journals) were found. Of all the clinical trials in obstetrics published between 2002 and 2013, 10.3% were published in journals belonging to categories other than Obstetrics and Gynecology. The most common research topic in 2002 and 2013 was the use of analgesia and anesthesia in obstetrics. CONCLUSIONS: Total scientific production rate in obstetrics increased from 2002 to 2013, especially randomised clinical trials. However, randomised clinical trials continue to represent a small proportion of total production. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02000076/full - - -Record #8 of 151 -ID: CN-02390247 -AU: Wu H -AU: Cheng K -AU: Tong L -AU: Wang Y -AU: Yang W -AU: Sun Z -TI: Knowledge structure and emerging trends on osteonecrosis of the femoral head: a bibliometric and visualized study -SO: Journal of orthopaedic surgery and research -YR: 2022 -VL: 17 -NO: 1 -PG: 194 -PM: PUBMED 35346273 -PT: Journal article -KY: Bibliometrics; Femur Head; Humans; Osteogenesis; Osteonecrosis; Publications -DOI: 10.1186/s13018-022-03068-7 -AB: BACKGROUND: Osteonecrosis of the femoral head (ONFH) is a common disabling disease with considerable social and economic impacts. Although extensive studies related to ONFH have been conducted in recent years, a specific bibliometric analysis on this topic has not yet been performed. Our study attempted to summarize the comprehensive knowledge map, development landscape, and future directions of ONFH research with the bibliometric approach. METHODS: All publications concerning ONFH published from 2001 to 2020 were identified from Web of Science Core Collection. Key bibliometric indicators were calculated and evaluated using CiteSpace, VOSviewer, and the online bibliometric analysis platform. RESULTS: A total of 2594 publications were included. Our analysis revealed a significant exponential growth trend in the annual number of publications over the past 20 years (R2 = 0.9663). China, the USA, and Japan were the major contributors both from the quality and quantity points of view. Correlation analysis indicated that there was a high positive correlation between the number of publications and gross domestic product (r = 0.774), and a moderate positive correlation between publications and demographic factor (r = 0.673). All keywords were categorized into four clusters including Cluster 1 (etiology and risk factors study); Cluster 2 (basic research and stem cell therapy); cluster 3 (hip‐preserving study); and Cluster 4 (hip replacement study). Stem cell therapy‐related research has been recognized as an important research hotspot in this field. Several topics including exosomes, autophagy, biomarkers, osteogenic differentiation, microRNAs, steroid‐induced osteonecrosis, mesenchymal stem cells, double‐blind, early‐stage osteonecrosis, and asymptomatic osteonecrosis were considered as research focuses in the near future. CONCLUSION: Over the past two decades, increasing attention has been paid to global ONFH‐related research. Our bibliometric findings provide valuable information for researchers to understand the basic knowledge structure, identify the current research hotspots, potential collaborators, and future research frontiers in this field. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02390247/full - - -Record #9 of 151 -ID: CN-02199419 -AU: Wang NL -TI: Proper interpretation of the randomized intervention studies published in influential journals -SO: Zhonghua yan ke za zhi [Chinese journal of ophthalmology] -YR: 2018 -VL: 54 -NO: 4 -PG: 243‐244 -PM: PUBMED 29747352 -XR: EMBASE 627640000 -PT: Journal article -KY: *ophthalmology; *publication; *randomized controlled trial (topic); Bibliometrics; China; Ophthalmology; Periodicals as Topic; Randomized Controlled Trials as Topic; Research; Research Report -DOI: 10.3760/cma.j.issn.0412-4081.2018.04.002 -AB: In recent years, many randomized intervention studies in the field of ophthalmology were published in influential journals such as The Lancet. There have been different voices about these published articles. It is important for academic associations and societies to select the right articles and incorporate the fitting results into the national clinical guidelines based on the proper interpretation and understanding of both the articles and China's national conditions. Chinese ophthalmologists should actively carry out high‐quality clinical researches to meet the needs of developing domestic clinical guidelines and to enhance the international influence of Chinese ophthalmology. (Chin J Ophthalmol, 2018, 54: 243‐244). -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02199419/full - - -Record #10 of 151 -ID: CN-02192335 -AU: Kohut A -AU: Booher M -AU: Naumova AD -AU: Kuhn T -AU: Southern GK -AU: Flowers L -AU: Conrad LB -AU: Gordon AN -AU: Khanna N -TI: Citation classics in gynecologic oncology: a bibliometric analysis -SO: Gynecologic oncology -YR: 2020 -VL: 159 -PG: 305 -XR: EMBASE 2008347228 -PT: Journal article; Conference proceeding -KY: Conference abstract; Controlled study; Female; Human; Randomized controlled trial; Rank sum test; SciSearch; United States; Web of Science -DOI: 10.1016/j.ygyno.2020.05.546 -AB: Objective: The aim of this study was to evaluate the bibliometric characteristics of the most highly cited publications in the field of gynecologic oncology. Method: We performed a bibliometric analysis of citation classics in the field of gynecologic oncology using the Science Citation Index Expanded (SCIE) accessed through the Web of Science Database. The top 50 cited papers in the field were included. Analyses were performed to compare article characteristics before and after 2003 (the median year of publication among all citation classics contained in the study) using the Mann Whitney (Wilcoxon) test for unpaired data. Results: A total of 9,207 articles associated with the field of gynecologic oncology were contained within the Web of Science between 1900 and 2019. The median year of publication of citation classics was 2003 (IQR 2000–2008). Most citation classics were from institutions in the United States (41/50) and randomized controlled trials (27/50). Common journals in which citation classics were published included Journal of Clinical Oncology (21/50), New England Journal of Medicine (7/50), Lancet (5/50), and Gynecologic Oncology (4/50). Median number of citations among analyzed articles was 609 (IQR 429–977). Median number of citations per citation classic before and after 2003 was 623 (IQR 449–1,055) and 597 (IQR 410–876), respectively (P = 0.562). Average number of citations per year before 2003 was 42 (IQR 24–56) and after 2003, 79 (IQR 41–88), respectively (P = 0.004). Conclusion: To date, there has not been a bibliometric analysis of citation classics in the field of gynecologic oncology. Here we aim to identify and characterize citation classics in gynecologic oncology and assess citation trends over time. Most citation classics were found to be U.S. based and randomized controlled trials. There was a statistically significant trend toward increased average citations per year after 2003. We hope this study provides insight into the highest impact papers, as well as their contributions to the field of gynecologic oncology. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02192335/full - - -Record #11 of 151 -ID: CN-00688835 -AU: Swaminathan M -AU: Phillips-Bute BG -AU: Grichnik KP -TI: A bibliometric analysis of global clinical research by anesthesia departments -SO: Anesthesia and analgesia -YR: 2007 -VL: 105 -NO: 6 -CC: Anaesthesia; Pain, Palliative and Supportive Care -PG: 1741‐1746 -PT: Journal article -AB: BACKGROUND: Few studies have investigated the diversity in research conducted by anesthesia‐based researchers. We examined global clinical research attributed to anesthesia departments using Medline and Ovid databases. We also investigated the impact of economic development on national academic productivity. METHODS: We conducted a Medline search for English‐language publications from 2000 to 2005. The search included only clinical research in which institutional affiliation included words relating to anesthesia (e.g., anesthesiology, anesthesia, etc.). Population and gross national income data were obtained from publicly available databases. Impact factors for journals were obtained from Journal Citation Reports (Thomson Scientific). RESULTS: There were 6736 publications from 64 countries in 551 journals. About 85% of all publications were represented by 46 journals. Randomized controlled trials constituted 4685 (70%) of publications. Turkey had the highest percentage of randomized controlled trials (88%). The United States led the field in quantity (20% of total) and mean impact factor (3.0) of publications. Finland had the highest productivity when adjusted for population (36 publications per million population). Publications from the United States declined from 23% in 2000 to 17% in 2005. CONCLUSIONS: Clinical research attributable to investigators in our specialty is diverse, and extends beyond the traditional field of anesthesia and intensive care. The United States produces the most clinical research, but per capita output is higher in European nations. ISSN Electronic 1526‐7598 -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-00688835/full - - -Record #12 of 151 -ID: CN-01755319 -AU: Tsay MY -AU: Yang YH -TI: Bibliometric analysis of the literature of randomized controlled trials -SO: Journal of the Medical Library Association : JMLA -YR: 2005 -VL: 93 -NO: 4 -PG: 450‐458 -PM: PUBMED 16239941 -XR: EMBASE 41702479 -PT: Journal article -KY: *medical informatics; *medical literature; *randomized controlled trial; Bibliographic database; Bibliometrics; Clinical trial; Controlled clinical trial; Evidence based medicine; Global Health; Humans; Language; Medline; Models, Statistical; Periodicals as Topic [*statistics & numerical data]; Publication; Publishing [statistics & numerical data]; Randomized Controlled Trials as Topic [*statistics & numerical data]; Review; Software -AB: OBJECTIVE: Evidence‐based medicine (EBM) is a significant issue and the randomized controlled trial (RCT) literature plays a fundamental role in developing EBM. This study investigates the features of RCT literature based on bibliometric methods. Growth of the literature, publication types, languages, publication countries, and research subjects are addressed. The distribution of journal articles was also examined utilizing Bradford's law and Bradford‐Zipf's law. METHOD: The MEDLINE database was searched for articles indexed under the publication type "Randomized Control Trial," and articles retrieved were counted and analyzed using Microsoft Access, Microsoft Excel, and PERL. RESULTS: From 1990 to 2001, a total of 114,850 citations dealing with RCTs were retrieved. The literature growth rate, from 1965 to 2001, is steadily rising and follows an exponential model. Journal articles are the predominant form of publication, and the multicenter study is extensively used. English is the most commonly used language. CONCLUSIONS: Generally, RCTs are found in publications concentrating on cardiovascular disease, cancer, asthma, postoperative condition, health, and anesthetics. Zone analysis and graphical formulation from Bradford's law of scattering shows variations from the standard Bradford model. Forty‐two core journals were identified using Bradford's law. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01755319/full - - -Record #13 of 151 -ID: CN-02260541 -AU: Nandakumar M -AU: Maturana MM -AU: Vouzonis E -TI: The 50 most influential studies on paediatricdiabetic ketoacidosis: a bibliometric analysis -SO: Archives of disease in childhood -YR: 2020 -VL: 105 -NO: SUPPL 1 -PG: A154 -XR: EMBASE 634462482 -PT: Journal article; Conference proceeding -KY: *diabetic ketoacidosis; Attention; Brain edema; California; Child; Clinical article; Conference abstract; Controlled study; Female; Human; Infant; Male; Publishing; Randomized controlled trial; Web of Science -DOI: 10.1136/archdischild-2020-rcpch.369 -AB: Objectives Diabetic ketoacidosis (DKA) in paediatrics is a common condition and often the firstpresentation of type 1 diabetes mellitus in children. The number of citations a study receives can be usedas a marker of academic influence, and can help to identify strong and weak areas of research within aparticular field. We aimed to identify the 50 most influential studies relating to paediatric DKA by citationnumber, and analyse their characteristics. Methods The Web of Science database was used to determine the studies that were most frequentlycited. We searched for studies that included 'Diabetic ketoacidosis' or 'DKA' along with 'paediatric' or'children' or 'child' or 'infant' in the title. Data extracted included publication year, article type and focus,publication journal, institution and country, level of evidence (LOE) and total citation number. Publishedguidelines were excluded from the LOE rankings. Citation density was also calculated as number ofcitations per year since publication. Results Our search returned 410 studies. The top 50 studies were published between 1976 to 2014. Themost common study topics were epidemiology and pathophysiology, with many studies relating tocerebral oedema (n=19). The mean number of citations was 74.7 (standard deviation 60.3, range 28‐375). These were published in 21 journals, led by Pediatric Diabetes (n=9). They originated from 9different countries, with institutions from the United States of America publishing the majority (n=30),and the University of California, Davis publishing the most studies (n=7). One RCT was identified, 39 non‐randomised clinics studies were included. The remainder included reviews, basic science studies andguidelines. 10 studies were classified as LOE 1, and 11 studies as LOE 4. Conclusions The 50 top cited studies on paediatric DKA relate mostly to epidemiology andpathophysiology. Cerebral oedema in paediatric DKA patients has received increased attention byresearchers and institutions. LOE was low, with only one RCT identified. Though these studies are themost influential in the field, perhaps the evidence base for this field would benefit from further highquality trials. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02260541/full - - -Record #14 of 151 -ID: CN-01713484 -AU: Vickers AJ -TI: Bibliometric analysis of randomized trials in complementary medicine -SO: Complementary therapies in medicine -YR: 1998 -VL: 6 -NO: 4 -CC: Complementary Medicine -PG: 185‐189 -XR: EMBASE 29017629 -PT: Journal article -KY: *alternative medicine; *medical information; Acupuncture; Article; Bone disease /therapy; Cardiovascular disease /therapy; Fatigue /therapy; Herbal medicine; Medical literature; Meditation; Musculoskeletal disease /therapy; Postoperative complication /complication /therapy; Randomized controlled trial; Register; Relaxation training -DOI: 10.1016/S0965-2299(98)80026-5 -AB: Objective: To determine the following features of randomized trials in complementary medicine: the extent to which they are indexed on Medline, the journals in which they are published, dates of publication, the therapies and conditions most commonly the focus of study. Design: Bibliometric analysis of the registry of randomized trials of the Cochrane Collaboration field in Complementary Medicine. Outcome measures: The number of trials in each category. Results: There were 3774 randomized trials on the registry of which 3072 (81%) were indexed on Medline. However, only about a third of these references could be easily found with a Medline search. Trials were published in a total of 965 different journals. Most trials (84%) were published in a conventional medical journal. The number of trials is increasing rapidly, having approximately doubled every 5 year period since 1965. There was a large variation in the number of trials for different complementary therapies. There were a high number of trials in acupuncture (554), herbal medicine (804) and meditation and relaxation techniques (643) but few trials in aromatherapy (47) and osteopathy (18). There were many trials in cardiovascular disease (501), musculoskeletal disorders (386) and surgery‐related symptoms (293), but few in fatigue disorders (11). Conclusion: Medline is an incomplete source of randomized trials in complementary medicine. Searching of Medline could be significantly enhanced by changes to keywords and improved data on type of publication. The conditions and therapies subject to trials in complementary medicine do not provide an accurate reflection of clinical practice. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01713484/full - - -Record #15 of 151 -ID: CN-01940181 -AU: Lu C-L -AU: Qiao S-Y -AU: Jin X-Y -AU: Tian Z-Y -AU: Liu J-P -TI: Evidence base of clinical studies on fasting therapy: a bibliometric analysis -SO: Advances in integrative medicine -YR: 2019 -VL: 6 -PG: S142 -XR: EMBASE 2001763208 -PT: Journal article; Conference proceeding -KY: *intermittent fasting; Adult; Adverse event; Blood pressure; Body mass; Calorie; Case study; China; Cohort analysis; Conference abstract; Diabetes mellitus; Female; Fruit; Germany; Glucose blood level; Health care management; Human; Major clinical study; Male; Metabolic syndrome X; Obesity; Palliative therapy; Randomized controlled trial; Vegetable -DOI: 10.1016/j.aimed.2019.03.415 -AB: Background: Fasting therapy refers to calorie and diet restriction for different diseases/condition. Clinical studies pay more attention to its safety and health benefits. The aim is to summarize current clinical studies of fasting for health management. Methods: We searched 6 Chinese and English databases from the inception to July 2018 to identify relative clinical studies and extracted data in duplicate. Data were presented by counts, percentage and frequency. Result: 49 studies (involving 20,357 participants) published in 1990‐2018 were identified, mainly including 30.6% randomized clinical trials (RCTs), 28.6% case series or case reports and 18.4% cohort studies. The top 3 diseases/condition were type‐2 diabetes, obesity and metabolic syndrome, most conducted in China, Germany and the UK. 18 studies applied fasting for prevention, 29 studies for cure, and 2 studies for both purposes. The modality performed as intermittent fasting and modified fasting, to intake low‐calorie with vegetables and fruits on alternate days or on 5 continue days per week. The course lasted for periods of 1‐4weeks and continued to 1–2 years. 29 (59.2%) studies used fasting alone whilst others combined with conventional symptomatic treatment. The most frequently reported outcomes were weight, BMI, blood pressure and blood glucose level. 67.3% studies reported positive effects, 24.5% studies reported uncertain effects and 8.2% studies reported negative effects. No serious adverse event related to fasting was reported. Conclusions: With limited evidence, fasting therapy is applied in diseases/conditions measured by weight and blood indices. Well‐designed, adequately powered and further rigorous studies are recommended to confirm its effects. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01940181/full - - -Record #16 of 151 -ID: CN-02746607 -AU: Silva FM -AU: Amorim Adegboye AR -AU: Curioni C -AU: Gomes F -AU: Collins GS -AU: Kac G -AU: Cook J -AU: Ismail LC -AU: Page MJ -AU: Khandpur N -AU: et al. -TI: Reporting completeness of nutrition and diet-related randomised controlled trials protocols -SO: Clinical nutrition (Edinburgh, Scotland) -YR: 2024 -VL: 43 -NO: 7 -PG: 1626‐1635 -PM: PUBMED 38795681 -XR: CINAHL 178023804 -PT: Journal article -KY: *Clinical Trial Protocols as Topic; *Diet; *Randomized Controlled Trials as Topic; Adult; Aged; Aged, 80 and Over; Bibliometrics; Checklist [standards]; Checklists; Descriptive Statistics; Diet; Editorial Policies; Guidelines as Topic; Human; Humans; Linear Regression; Methods; Multivariate Analysis; Periodicals as Topic; Randomized Controlled Trials; Research Design [standards]; SARS‐CoV‐2; Standards; Study Design -DOI: 10.1016/j.clnu.2024.04.038 -AB: BACKGROUND AND AIMS: There is a need to consolidate reporting guidance for nutrition randomised controlled trial (RCT) protocols. The reporting completeness in nutrition RCT protocols and study characteristics associated with adherence to SPIRIT and TIDieR reporting guidelines are unknown. We, therefore, assessed reporting completeness and its potential predictors in a random sample of published nutrition and diet‐related RCT protocols. METHODS: We conducted a meta‐research study of 200 nutrition and diet‐related RCT protocols published in 2019 and 2021 (aiming to consider periods before and after the start of the COVID pandemic). Data extraction included bibliometric information, general study characteristics, compliance with 122 questions corresponding to items and subitems in the SPIRIT and TIDieR checklists combined, and mention to these reporting guidelines in the publications. We calculated the proportion of protocols reporting each item and the frequency of items reported for each protocol. We investigated associations between selected publication aspects and reporting completeness using linear regression analysis. RESULTS: The majority of protocols included adults and elderly as their study population (n = 73; 36.5%), supplementation as intervention (n = 96; 48.0%), placebo as comparator (n = 89; 44.5%), and evaluated clinical status as the outcome (n = 80; 40.0%). Most protocols described a parallel RCT (n = 188; 94.0%) with a superiority framework (n = 141; 70.5%). Overall reporting completeness was 52.0% (SD = 10.8%). Adherence to SPIRIT items ranged from 0% (n = 0) (data collection methods) to 98.5% (n = 197) (eligibility criteria). Adherence to TIDieR items ranged from 5.5% (n = 11) (materials used in the intervention) to 98.5% (n = 197) (description of the intervention). The multivariable regression analysis suggests that a higher number of authors [β = 0.53 (95%CI: 0.28‐0.78)], most recent published protocols [β = 3.19 (95%CI: 0.24‐6.14)], request of reporting guideline checklist during the submission process by the journal [β = 6.50 (95%CI: 2.56‐10.43)] and mention of SPIRIT by the authors [β = 5.15 (95%CI: 2.44‐7.86)] are related to higher reporting completeness scores. CONCLUSIONS: Reporting completeness in a random sample of 200 diet or nutrition‐related RCT protocols was low. Number of authors, year of publication, self‐reported adherence to SPIRIT, and journals' endorsement of reporting guidelines seem to be positively associated with reporting completeness in nutrition and diet‐related RCT protocols. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02746607/full - - -Record #17 of 151 -ID: CN-02400811 -AU: Ladeiras-Lopes R -AU: Vidal-Perez R -AU: Santos-Ferreira D -AU: Alexander M -AU: Baciu L -AU: Clarke S -AU: Crea F -AU: Lüscher TF -TI: Twitter promotion is associated with higher citation rates of cardiovascular articles: the ESC Journals Randomized Study -SO: European heart journal -YR: 2022 -VL: 43 -NO: 19 -PG: 1794‐1798 -PM: PUBMED 35567549 -XR: EMBASE 637999958 -PT: Journal article -KY: *publication; *social media; Bibliometrics; Controlled study; Human; Humans; Journal Impact Factor; Journal impact factor; Periodicals as Topic; Randomized controlled trial; Social Media -DOI: 10.1093/eurheartj/ehac150 -AB: The association between the dissemination of scientific articles on Twitter and online visibility (as assessed by the Altmetric Score) is still controversial, and the impact on citation rates has never been rigorously addressed for cardiovascular medicine journals using a randomized design. The ESC Journals Study randomized 695 papers published in the ESC Journal Family (March 2018‐May 2019) for promotion on Twitter or to a control arm (with no active tweeting from ESC channels) and aimed to assess whether Twitter promotion was associated with an increase in citation rates (primary endpoint) and of the Altmetric Score. This is the final analysis including 694 articles (one paper excluded due to retraction). After a median follow‐up of 994 days (interquartile range: 936‐1063 days), Twitter promotion of articles was associated with a 1.12 (95% confidence interval: 1.08‐1.15) higher rate of citations, and this effect was independent of the type of article. Altmetric Attention Score and number of users tweeting were positive predictors for the number of citations. A social media strategy of Twitter promotion for cardiovascular medicine papers seems to be associated with increased online visibility and higher numbers of citations. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02400811/full - - -Record #18 of 151 -ID: CN-02354681 -AU: Yang K -AU: Baek HG -AU: Cho DC -AU: Jung YG -AU: Lee S -AU: Park JH -TI: Comparative analysis of the recent publication trends in 4 representative journals in the spine field -SO: Medicine -YR: 2021 -VL: 100 -NO: 45 -PG: e27716 -PM: PUBMED 34766577 -PT: Journal article -KY: *Neurosurgery; *Orthopedics; *Periodicals as Topic; Bibliometrics; Humans; Neurosurgical Procedures; Spine -DOI: 10.1097/MD.0000000000027716 -AB: We have analyzed and compared the publication trends in 4 representative spinal journals [Spine, European Spinal Journal (EUS), The Spine Journal (TSJ), and the Journal of Neurosurgery ‐ Spine (JNS spine)] from 2016 to 2018.A total of 3784 articles were published in the 4 representative journals: 1358, 1128, 685, and 613 articles in Spine, EUS, TSJ, and JNS spine, respectively. We compared and analyzed each periodical for the time taken (days) for the publication process, the distribution of specialties of the corresponding author, multicity of the investigative institutions, main disease entity, study type, and design.The period from submission to online publication was 133, 216, 181, and 318 days in Spine, EUS, TSJ, and JNS spine, respectively. Corresponding authors with orthopedic specialties were more common in Spine, EUS, and TSJ than in JNS spine. Of particular note, corresponding authors who were neurosurgeons were the majority (55.8%) only in JNS spine. Single institution articles were by far the most common (average 92.8%) in all 4 journals. In all of the analyzed journals, the proportion of degenerative diseases was dominant with an average of 44.9%. The most frequent study type in all 4 journals was a clinical article (79.6, 72.1, 63.3, and 63.1%, respectively). In general, meta‐analyses (average 4%) and randomized controlled comparative studies (average 5.2%) accounted for a very low percentage of the study types.We believe that periodic analyses and comparisons of the characteristics of representative spine journals will help to shape the direction of future improvements. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02354681/full - - -Record #19 of 151 -ID: CN-02630353 -AU: Xiao Z -AU: Chen W -AU: Wei Z -AU: Zhang Q -AU: Tang G -TI: Global trends and hotspots in the application of platelet-rich plasma in knee osteoarthritis: a bibliometric analysis from 2008 to 2022 -SO: Medicine -YR: 2023 -VL: 102 -NO: 47 -PG: e35854 -PM: PUBMED 38013292 -PT: Journal article -KY: *Osteoarthritis, Knee [therapy]; *Platelet‐Rich Plasma; Bibliometrics; Humans; Inflammation; Knee Joint -DOI: 10.1097/MD.0000000000035854 -AB: Platelet‐rich plasma (PRP) injection therapy holds great promise in improving knee cartilage repair. This bibliometric analysis aimed to explore the research landscape in the application of PRP for knee osteoarthritis (KOA) over the last 15 years. All articles investigating PRP in the application of KOA were retrieved from the web of science core collection. Publications were analyzed using R software, VOS Viewer, CiteSpace, Microsoft Excel, and an online bibliometric platform (https://bibliometric.com/). A total of 815 articles were identified, 6 articles from 2010 had the highest average number of citations in the local database. Filardo G., Kon E., Cole B.J., Marcacci M., and Di Martino A. are the top 5 authors based on the H‐index. The "American Journal Of Sports Medicine" is the most authoritative journal in the field of PRP application in KOA. The United States is the global leader in this field, with European countries playing a pivotal role in collaborative exchanges. Taipei Medical University is the most prolific institution and Shahid Beheshti University Medical Sciences in Iran the fastest‐rising institution. The keywords "Hyaluronic Acid," "cartilage," "growth factors," "mesenchymal stem cells," "intra‐articular injection," "pain," "inflammation," "double‐blind," "management," "placebo," "stromal cells," "rheumatoid arthritis," and "pathology" appeared most frequently. "Exercise," "volume," and "physical‐activity" are the latest hot topics. Future trends in this field include the standardization of injection components, injection sites, and injection methods, the modulation of useful or harmful growth factor receptor expression, sports management, and the validation of contraindications to PRP. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02630353/full - - -Record #20 of 151 -ID: CN-02510072 -AU: Gan P -AU: Pan X -AU: Huang S -AU: Xia H -AU: Zhou X -AU: Tang X -TI: Current status of coronavirus disease 2019 vaccine research based on bibliometric analysis -SO: Human vaccines & immunotherapeutics -YR: 2022 -VL: 18 -NO: 6 -PG: 2119766 -PM: PUBMED 36494998 -PT: Journal article -KY: Antibodies; Bibliometrics; COVID‐19 Vaccines; COVID‐19 [prevention & control]; Humans; Vaccination -DOI: 10.1080/21645515.2022.2119766 -AB: Vaccination is considered the most effective way to reduce the impact of coronavirus disease 2019 (COVID‐19). Several new vaccines have been manufactured. This study aimed to assess the current status and prospects of COVID‐19 vaccine research using a bibliometric analysis. We analyzed 3,954 scientific articles on COVID‐19 vaccines in the Web of Science Core Collection (WoSCC). CiteSpace and VOSviewer were used for bibliometric visualization. Original articles and reviews were used for the analysis. A total of 2,783 (70.38%) studies were published in 2021. The USA contributed the highest, publishing 1,390 articles with 41,788 citations, followed by China and the UK. The USA's primary collaborators were the UK (n = 133), China (n = 87), and Canada (n = 65). The most active institutions were the University of Oxford and Harvard Medical School, while Emory University was the most influential. The Vaccines journal had the most number of publications (402). The most cited journal was the New England Journal of Medicine. In 2021, the focus was on RNA vaccines, attitudes toward vaccination, and hesitancy. In contrast, studies in 2022 focused on vaccine double‐blind trials, viral mutations, and antibodies. In the context of rapid virus transmission, vaccine studies on immunogenicity, spike proteins, efficacy, safety, and antibody response have been prioritized. Additional phased clinical trials are needed to determine the effectiveness, acceptance, and side effects of vaccines against mutated strains of the virus. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02510072/full - - -Record #21 of 151 -ID: CN-02538936 -AU: Yang S -AU: Yu D -AU: Liu J -AU: Qiao Y -AU: Gu S -AU: Yang R -AU: Chai X -AU: Wang W -TI: Global publication trends and research hotspots of the gut-liver axis in NAFLD: a bibliometric analysis -SO: Frontiers in endocrinology -YR: 2023 -VL: 14 -PG: 1121540 -PM: PUBMED 36967792 -PT: Journal article -KY: Bibliometrics; Humans; Inflammation; Liver Cirrhosis; Non‐alcoholic Fatty Liver Disease [epidemiology] -DOI: 10.3389/fendo.2023.1121540 -AB: BACKGROUND: Nonalcoholic Fatty Liver Disease(NAFLD)refers to a spectrum of diseases ranging from simple liver steatosis to nonalcoholic steatohepatitis (NASH) and cirrhosis. Bidirectional cross‐talk between the gut‐liver axis plays an important role in the pathogenesis of NAFLD. To learn more about the gut‐liver axis in NAFLD, this study aims to provide a comprehensive analysis from a bibliometric perspective. METHOD: Literature related to the gut‐liver axis in NAFLD from 1989 to 2022 was extracted from the Web of Science Core Collection. Based on Microsoft Excel, CiteSpace and Vosviewer, we conducted to analyze the number of publications, countries/regions, institutions, authors, journals, references, and keywords. RESULTS: A total of 1,891 literature since 2004 was included, with the rapid growth of the number of papers on the gut‐liver axis in NAFLD annually. These publications were mainly from 66 countries and 442 institutions. Of the 638 authors analyzed, Bernd Schnabl was the one with the most publications, and Patrice D. Cani was the one with the most co‐citations. International Journal of Molecular Sciences is the journal with the most articles published, and Hepatology is the journal with the most citations. The most common keywords are gut microbiota, inflammation, and insulin instance, which are current research hotspots. Short‐chain fatty acid, in vitro, randomized controlled trial in clinical, and diabetes mellitus represent the research frontiers in this field and are in a stage of rapid development. CONCLUSION: This is the first study to conduct a comprehensive bibliometric analysis of publications related to the gut‐liver axis in NAFLD. This study reveals that gut microbiota, inflammation, insulin resistance, short‐chain fatty acids, and randomized controlled trial will be the hotspots and new trends in the gut‐liver axis in NAFLD research, which could provide researchers with key research information in this field and is helpful for further exploration of new research directions. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02538936/full - - -Record #22 of 151 -ID: CN-02232196 -AU: Misso D -AU: Zhen E -AU: Kelly J -AU: Collopy D -AU: Clark G -TI: A progressive scholarly acceptance analysis of robot-assisted arthroplasty: a review of the literature and prediction of future research trends -SO: Journal of robotic surgery -YR: 2021 -VL: 15 -NO: 5 -PG: 813‐819 -PM: PUBMED 33389627 -XR: EMBASE 2007727841 -PT: Journal article -KY: *prediction; *robotics; *total hip replacement; *total knee arthroplasty; Arthroplasty, Replacement, Knee; Article; Bibliometrics; Controlled study; English (language); Human; Human experiment; Humans; Randomized controlled trial; Robotic Surgical Procedures [methods]; Robotics; Surgical technique -DOI: 10.1007/s11701-020-01173-5 -AB: Robot‐assisted arthroplasty (RAA) is increasingly practised in orthopaedic surgery. The aim of this study was to perform a bibliometric analysis of all published primary research into RAA and to apply the Progressive Scholarly Acceptance (PSA) model to evaluate its acceptance as an orthopaedic surgical technique. A literature search was performed that included all peer‐reviewed, primary, English language publications on RAA from its introduction in 1992 up to 2019. RAA was defined as robot‐assisted hip or knee arthroplasty. A bibliometric analysis was performed to categorise articles by type of study and level of evidence. Studies were also categorised as initial investigations (II) or refining studies (RS). A PSA analysis was performed, with the end‐point being defined as the point in time when the number of RS exceeded the number of II. Of the 199 studies originating from 19 countries and 101 institutions, only 16 (8.04%) were randomised‐controlled trials. Fifty‐one percent of studies had been published since 2015. Using PSA analysis, 161 (80.9%) studies were categorised as II and 38 (19.1%) were categorised as RS. This demonstrates that RAA has not yet reached the point of scholarly acceptance. Scholarly acceptance of RAA as an orthopaedic surgical technique has yet to be reached. However, there has been an exponential increase in the number of publications on RAA in the last 5 years, reflecting renewed interest this technique. We predict that, for the next 5 years, RAA will remain in the experimental phase due to the rapid development of new technology in this field. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02232196/full - - -Record #23 of 151 -ID: CN-02231066 -AU: Sugumar K -AU: Hue JJ -AU: Ahorukomeye P -AU: Rothermel LD -AU: Ocuin LM -AU: Hardacre JM -AU: Ammori JB -AU: Winter JM -TI: Defining Common Features in High Impact and Highly Cited Journal Articles on Pancreatic Tumors: an Analysis of 1044 Studies over the Past Decade -SO: Annals of surgery -YR: 2021 -VL: 274 -NO: 6 -PG: 977‐984 -PM: PUBMED 33351479 -XR: EMBASE 633876307 -PT: Journal article -KY: *pancreas tumor; Article; Bibliometrics; Complication; Controlled study; Human; Humans; Journal Impact Factor; Pancreatectomy; Pancreatic Neoplasms [*surgery]; Randomized controlled trial -DOI: 10.1097/SLA.0000000000004670 -AB: INTRODUCTION: Surgical researchers seek to publish their findings in esteemed surgical journals to advance science and their careers. A detailed investigation of study and manuscript attributes in a specific research area, like pancreatic neoplasia, may yield informative insights for researchers looking to maximize research impact. OBJECTIVES: We analyzed publications related to pancreatic surgery primarily focused on pancreatic and periampullary tumors to identify elements associated with acceptance into high impact journals and a high likelihood of future citations. METHODS: A comprehensive review of nine surgical journals was performed between 2010 and 2019. Journals were grouped based on impact factor into high (>3), medium (1‐3), and low (<1) impact categories. Each publication was annotated to identify study topic, methodology, and statistical approach. Findings were compared according to journal impact and number of citations to identify predictors of success across these 2 domains. RESULTS: A total of 1044 out of 21,536 (4.8%) articles published in the index journals were related to pancreatic tumors. The most common focus of study was perioperative outcomes and complications (46.7%). There was significantly more number of authors, participating institutions, countries, and randomized clinical trials in higher impact journals as well as high‐cited articles (P < 0.05). Although advanced statistical analysis was used more commonly in high‐impact journals (P < 0.05), it did not translate to higher citations (P > 0.05). CONCLUSIONS: Pancreatic neoplasia continues to be extensively studied in surgical literature. Specific elements of study methodology and design were identified as potentially key attributes to acceptance in high impact journals and citation success. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02231066/full - - -Record #24 of 151 -ID: CN-02664168 -AU: Song Y -AU: Shen L -AU: Fu Y -AU: Li B -AU: Sun J -AU: Sun S -AU: Sun J -AU: Li B -AU: Yu H -AU: Ni Y -AU: et al. -TI: Visual analysis on clinical randomized controlled trial of fire needle based on VOSviewer and CiteSpace -SO: Zhongguo zhen jiu [Chinese acupuncture & moxibustion] -YR: 2024 -VL: 44 -NO: 2 -PG: 231‐238 -PM: PUBMED 38373773 -PT: Journal article -KY: *Acupuncture Therapy [methods]; *Herpes Zoster; Bibliometrics; Bloodletting; Humans; Needles -DOI: 10.13703/j.0255-2930.20230321-0004 -AB: To analyze the research hotspots, frontiers and trends of fire needle clinical randomized controlled trial (RCT) literature in the past 10 years by using bibliometrics and knowledge mapping methods. Six Chinese and English databases including CNKI, Wanfang, VIP, SinoMed, PubMed and Web of Science ( WOS ) were searched for RCT research literature on fire needle. CiteSpace V6.1.R6 and VOSviewer V1.6.18 software were used to analyze the cooperation network, keyword co‐occurrence, keyword clustering, keyword timeline, keyword emergence, etc., and to draw a visual knowledge map. A total of 1 973 Chinese articles and 3 English articles were included. The top three institutions that publish articles were Guangzhou University of CM, Heilongjiang University of CM and Beijing Hospital of TCM Affiliated to Capital Medical University. The fire needle was often combined with acupuncture, cupping and bloodletting therapy in the treatment of acne, vitiligo, lumbar disc herniation, herpes zoster, stroke sequelae, facial paralysis, knee osteoarthritis and so on. The research frontiers included the combined application of fire needle and other therapies, clinical mechanism research and efficacy evaluation index research. In the future, we should expand the dominant diseases, optimize the research design, strengthen the cooperation between the teams, and carry out high‐level clinical research. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02664168/full - - -Record #25 of 151 -ID: CN-02658358 -AU: Zhang W -AU: Li M -AU: Li X -AU: Wang X -AU: Liu Y -AU: Yang J -TI: Global trends and research status in ankylosing spondylitis clinical trials: a bibliometric analysis of the last 20 years -SO: Frontiers in immunology -YR: 2023 -VL: 14 -PG: 1328439 -PM: PUBMED 38288126 -PT: Journal article -KY: *Arthritis, Rheumatoid; *Autoimmune Diseases; *Spondylitis, Ankylosing [therapy]; Bibliometrics; Etanercept; Humans -DOI: 10.3389/fimmu.2023.1328439 -AB: BACKGROUND: Ankylosing spondylitis (AS) is a rheumatic and autoimmune disease associated with a chronic inflammatory response, mainly characterized by pain, stiffness, or limited mobility of the spine and sacroiliac joints. Severe symptoms can lead to joint deformity, destruction, and even lifelong disability, causing a serious burden on families and society as a whole. A large number of clinical studies have been published on AS over the past 20 years. This study aimed to summarize the current research status and global trends relating to AS clinical trials through a bibliometric analysis. METHODS: The Web of Science Core Collection database was searched for publications related to AS clinical trials published between January 2003 and June 2023. Bibliometric analysis and web visualization were performed using CiteSpace, VOSviewer, and a bibliometric online analysis platform (https://bibliometric.com), which included the number of publications, citations, countries, institutions, journals, authors, references, and keywords. RESULTS: 1,212 articles published in 201 journals from 65 countries were included in this study. The number of publications related to AS clinical trials is increasing annually. The United States and the Free University of Berlin, the countries and institutions, respectively, that have published the most articles on AS, have made outstanding contributions to this field. The author with the most published papers and co‐citations over the period covered by the study was Desiree Van Der Heijde. The journal with the most published and cited articles was Annals of the Rheumatic Diseases. The keywords: "double‐blind," "rheumatoid arthritis," "efficacy," "placebo‐controlled trial," "infliximab," "etanercept," "psoriatic arthritis" and "therapy" represent the current research hotspots regarding AS. DISCUSSION: This is the first study to perform a bibliometric analysis and visualization of AS clinical trial publications, providing a reliable research focus and direction for clinicians. Future studies in the field of AS clinical trials should focus on placebo‐controlled trials of targeted therapeutic drugs. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02658358/full - - -Record #26 of 151 -ID: CN-01939586 -AU: Kim KS -AU: Chung JH -AU: Lee SW -TI: Randomized controlled trials on erectile dysfunction: quality assessment and relevant clinical impact (2007-2018) -SO: International journal of impotence research -YR: 2020 -VL: 32 -NO: 2 -PG: 213‐220 -PM: PUBMED 31024112 -XR: EMBASE 627449331 -PT: Journal article -KY: *Bibliometrics; *erectile dysfunction; *quality control; Article; Cochrane Library; Cochrane assessment; Data quality assessment; Erectile Dysfunction [*therapy]; Exercise; Human; Humans; Jadad scale; Male; Outcome assessment; Priority journal; Quality assessment tool; Questionnaire; Randomized Controlled Trials as Topic [*standards]; Randomized controlled trial (topic); Van Tulder scale -DOI: 10.1038/s41443-019-0143-x -AB: The aim of this study was to assess the quality of randomized controlled trials (RCTs) on erectile dysfunction (ED) conducted from 2007 to 2018. We searched for RCT original articles on ED published between 2007 and 2018 using PubMed, Embase, and Cochrane Library databases. RCT quality assessment was performed using Jadad scale, van Tulder scale, and Cochrane Collaboration’s Risk of Bias Tool. The effects on RCT quality of including treatment methods, funding sources, institutional review board (IRB) approval statements, and intervention description to the studies were assessed. Blinding and allocation concealment were described in 67.9 and 8.7% of the RCTs, respectively. Blinding tended to decrease, but a sharp rise in blinding was observed in 2011–2012 and allocation in 2017–2018. Funding statement inclusion (60.3% overall) and intervention description (96.4% overall) tended to increase steadily. IRB statement inclusion (78.3% overall) increased (p = 0.05). Jadad scores rose significantly until 2011–2012 but decreased thereafter except 2017–2018 (p = 0.09). RCTs with funding statements had higher Jadad and van Tulder scores than unfunded RCTs (p < 0.01 and 0.02, respectively). Quality improvement has observed from 2007 to 2012 and 2017 to 2018 with Jadad scale because of increased funding, multicenter studies, and intervention description. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01939586/full - - -Record #27 of 151 -ID: CN-01772968 -AU: Rigby K -AU: Silagy C -AU: Crockett A -TI: Health economic reviews. Are they compiled systematically? -SO: International journal of technology assessment in health care -YR: 1996 -VL: 12 -NO: 3 -PG: 450‐459 -PM: PUBMED 8840665 -XR: EMBASE 26295787 -PT: Journal article -KY: *Bibliometrics; *Cost‐Benefit Analysis; *Review Literature as Topic; *health economics; Clinical trial; Controlled clinical trial; Cost effectiveness analysis; Data base; Decision making; Health care need; Medical research; Randomized controlled trial; Review -AB: Attempts to perform economic reviews of randomized controlled trials frequently lack a systematic approach. This conclusion is consistent with the findings of previous analyses of review articles in other fields, which have highlighted the failure to apply the same degree of rigor to this type of research synthesis that the scientific community has come to expect from primary research articles. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01772968/full - - -Record #28 of 151 -ID: CN-02414944 -AU: Peres MF -AU: Braschinsky M -AU: May A -TI: Effect of Altmetric score on manuscript citations: a randomized-controlled trial -SO: Cephalalgia -YR: 2022 -VL: 42 -NO: 13 -PG: 1317‐1322 -PM: PUBMED 35702033 -XR: EMBASE 2017932278 -PT: Journal article -KY: *headache; *social media; Article; Bibliometrics; Controlled study; Cost benefit analysis; Diffusion; Human; Humans; Journal Impact Factor; Metric system; Outcome assessment; Randomized controlled trial; Social Media; Social Networking -DOI: 10.1177/03331024221107385 -AB: BACKGROUND: Alternative metrics to traditional, citation‐based metrics are increasingly being used. These are complementary to traditional metrics, like downloads and citations, and give information on how often a given journal article is discussed and used in professional (reference managers) and social networks, such as mainstream media and Twitter. Altmetrics is used in most journals and is available in all indexed headache medicine journals. Whether Altmetrics have an input on traditional, citation‐based metrics or whether it is a stand‐alone metric system is not clear. Actively promoting a paper through media channels will probably increase the Altmetric score but the question arises whether this will also increase citations and downloads of this individual paper. METHODS: Focusing on this point we performed a randomized study in order to test the hypothesis that a promotion intervention would improve citations and other science metric scores. We selected 48 papers published in Cephalalgia from July 2019 to January 2020 and randomized them to either receive an active promotion through social media channels or not. The primary outcome used was the difference between mean article citations with versus without intervention 12 months after the intervention period. RESULTS: The results show that the alternative metrics significantly increased for those papers randomly selected to receive an intervention compared to those who did not. This effect was observed in the first 12 months, right after the boosting strategy was performed. The higher promoted paper diffusion in social media lead to a significantly higher number of citations and downloads. CONCLUSION: Further promotion strategies should be studied in order to tailor the best cost‐benefit intervention. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02414944/full - - -Record #29 of 151 -ID: CN-01997775 -AU: Maggio LA -AU: Leroux TC -AU: Artino AR -TI: To tweet or not to tweet, that is the question: a randomized trial of Twitter effects in medical education -SO: PloS one -YR: 2019 -VL: 14 -NO: 10 -PG: e0223992 -PM: PUBMED 31618267 -XR: EMBASE 2003397185 -PT: Journal article -KY: *medical education; Article; Bibliometrics; Biomedical Research; Controlled study; Education, Medical [*methods]; Human; Human experiment; Humans; Major clinical study; Outcome assessment; Randomized controlled trial; Social Media -DOI: 10.1371/journal.pone.0223992 -AB: Introduction Many medical education journals use Twitter to garner attention for their articles. The purpose of this study was to test the effects of tweeting on article page views and downloads. Methods The authors conducted a randomized trial using Academic Medicine articles published in 2015. Beginning in February through May 2018, one article per day was randomly assigned to a Twitter (case) or control group. Daily, an individual tweet was generated for each article in the Twitter group that included the title, #MedEd, and a link to the article. The link delivered users to the article's landing page, which included immediate access to the HTML full text and a PDF link. The authors extracted HTML page views and PDF downloads from the publisher. To assess differences in page views and downloads between cases and controls, a time‐centered approach was used, with outcomes measured at 1, 7, and 30 days. Results In total, 189 articles (94 cases, 95 controls) were analyzed. After days 1 and 7, there were no statistically significant differences between cases and controls on any metric. On day 30, HTML page views exhibited a 63% increase for cases (M = 14.72, SD = 63.68) when compared to controls (M = 9.01, SD = 14.34; incident rate ratio = 1.63, p = 0.01). There were no differences between cases and controls for PDF downloads on day 30. Discussion Contrary to the authors' hypothesis, only one statistically significant difference in page views between the Twitter and control groups was found. These findings provide preliminary evidence that after 30 days a tweet can have a small positive effect on article page views. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01997775/full - - -Record #30 of 151 -ID: CN-01760251 -AU: Okamoto S -AU: Rahman M -AU: Fukui T -TI: Japan's contribution to clinical pediatrics research in the last decade -SO: Pediatrics international -YR: 2004 -VL: 46 -NO: 1 -PG: 1‐4 -PM: PUBMED 15043655 -XR: EMBASE 38333620 -PT: Journal article -KY: *clinical research; *pediatrics; Article; Bibliometrics; Child; Clinical trial; Cohort analysis; Controlled clinical trial; Controlled study; Data base; Human; Humans; Japan; MEDLINE; Medline; Pediatrics; Priority journal; Randomized controlled trial; Research [*statistics & numerical data]; Statistical significance; Statistics, Nonparametric -DOI: 10.1111/j.1328-0867.2004.01836.x -AB: Objective: To determine Japan's contribution to research in clinical pediatrics over the last decade. Methods: Articles published in highly reputable pediatrics journals from 1991‐2000 were accessed through the MEDLINE database. The number of articles which had an affiliation with a Japanese institution were counted for each of the journals and also summed in total. Proportions of randomized controlled trials (RCTs) and case‐control/cohort studies among the articles from Japan were also generated and compared with the average for the entirety. In addition, shares of the top‐ranking countries were presented along with their trend over time. Results: In total, 20 189 articles were published in the selected seven pediatric journals from 1991‐2000. Japan contributed 3.0% of these articles and this contribution was ranked 7th in the world. A negative trend was noticed in Japan's contribution over time but it was not statistically significant (z = ‐0.40, P = 0.16). RCTs accounted for 7. 3% of the total articles, but only 0.34% of those from Japan. Conclusions: Japan's share of articles in pediatrics research was smaller than that in basic science and some of the other clinical fields. The number of articles from Japan providing a high level of evidence was meager in this field. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01760251/full - - -Record #31 of 151 -ID: CN-02074729 -AU: Valderrama P -AU: Valderrama A -AU: Baca P -TI: Bibliometric analysis and evaluation of the journal Medicina Oral Patología Oral y Cirugía Bucal (2008-2018) -SO: Medicina oral, patologia oral y cirugia bucal -YR: 2020 -VL: 25 -NO: 2 -PG: e180‐e187 -PM: PUBMED 31893475 -XR: EMBASE 630497869 -PT: Journal article -KY: *Bibliometrics; *Oral Surgical Procedures; Adult; Article; Controlled study; Female; Funding; Gender; Journal Impact Factor; Journal impact factor; Major clinical study; Male; Oral surgery; Randomized controlled trial; Spain; Stomatology; Web of Science -DOI: 10.4317/medoral.23289 -AB: BACKGROUND: In 2008 the journal Medicina Oral Patología Oral y Cirugía Bucal was included in Journal Citation Reports. To appraise its evolution and current status, this study carried out a bibliometric analysis and evaluation of the journal for the period 2008‐2018. MATERIAL AND METHODS: From the Web of Science, Journal Citation Reports we obtained the indicators Journal Impact Factor (JIF), 5‐year JIF, JIF without self‐cites, Eigenfactor score and Article Influence score (2010‐2017); and from the Core Collection database the following variables: number and article types, institutions and countries of origin of the authors (2008‐2018), and the variable cited and citing journal data in 2017. Twelve articles/year (n=132) were randomly selected to gather: the time between submittal and acceptance of an article, number of authors/article, representation of each section, gender of first author, and funding. RESULTS: The journal occupied the third quartile of the JCR from 2010 to 2017, when it moved up to the second quartile. From 2008 to 2018 it published a total of 1,518 documents, 90% articles and 9.5% reviews. Sixty countries were represented, 48.68% of the documents coming from Spain, and overall 1,293 institutions were involved. Between submittal and acceptance of articles, the average time was 134.42 days, without differences between years. The mean of authors/article was 5.15, increasing over time. The sections most represented were Oral Medicine and Pathology, and Oral Surgery. There were no differences regarding the gender of the first author, and in general the authors did not provide information about funding received. CONCLUSIONS: The bibliometric results indicate a steadily improving position of this journal, along with a tendency to reduce self‐citation. The time between reception of an article and its acceptance was very stable, the number of authors per article showed an increase, and there was a nearly equal representation of males and females as the first author. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02074729/full - - -Record #32 of 151 -ID: CN-02494577 -AU: Amirguliyev S -AU: Zhang P -AU: Al-Karagholi MA -AU: Do TP -TI: Letter to the Editor regarding "Effect of Altmetric score on manuscript citations: a randomized-controlled trial" -SO: Cephalalgia -YR: 2022 -VL: 42 -NO: 13 -PG: 1436‐1442 -PM: PUBMED 35929061 -PT: Journal article -KY: *Bibliometrics; *Social Media; Humans; Randomized Controlled Trials as Topic -DOI: 10.1177/03331024221118925 -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02494577/full - - -Record #33 of 151 -ID: CN-02324691 -AU: Mejia CR -AU: Valladares-Garrido MJ -AU: Oyarce-Calderon A -AU: Nina AN -AU: Castillo-Mejia R -TI: Precarious scientific publication amongst Peruvian medical specialists: analysis of results in Google Academics and Scopus -SO: Acta medica peruana -YR: 2021 -VL: 38 -NO: 2 -PG: 110‐116 -XR: EMBASE 2014749471 -PT: Journal article -KY: *Scopus; *bibliometrics; *medical specialist; *physician; Article; Controlled study; Dermatology; Gastroenterology; Human; Neurology; Publishing; Randomized controlled trial -DOI: 10.35663/AMP.2021.382.1934 -AB: Introduction: In industrialized countries there is large production of publications from specialized physicians on specific topics regarding their working areas. Reality is quite different in Peru. Objective: To determine the rates of scientific paper production found in Google Academics and Scopus, as well as their association with medical specialties. Methodology: This is an analytical cross‐section study. Randomized sampling of medical specialists registered in the Peruvian College of Physicians was performed. Those who were selected were searched aiming to determine whether they had produced papers in publications that would be found in Google Academics or that would be indexed in the Scopus database. Their lifetime production was reported, together with statistical associations. Results: Out of 2108 specialized physicians, 1810 (85.9%) and 2027 (96.2%) had never produced any scientific publication that could have been found in Google Academics or in Scopus indexed journals, respectively. Specialties most frequently found in Google Academics were as follows: gastroenterology (46.3%), dermatology (44.4%), and neurology (42.5%). In Scopus, most frequently found specialties were neurology (15.0%), gastroenterology and dermatology (11.1%, both), and pathology (10.9%). The highest number of production in foreign Scopus‐indexed publications was 4 original papers for a corresponding author. There were statistically significant associations with respect to the lowest numbers of Scopus‐indexed publications for 15 specialties (p<0.042 for all), and thirteen of them featured no scientific production at all. Conclusions: The low number of authors who published scientific papers was surprising, and this may serve as an alert about the low resources available for generating and publishing their research, so strategies for helping in this purpose should be established. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02324691/full - - -Record #34 of 151 -ID: CN-01778515 -AU: Nieri M -AU: Saletta D -AU: Buti J -AU: Pagliaro U -AU: Guidi L -AU: Rotundo R -AU: Prato GP -TI: From initial case report to randomized clinical trial through 20 years of research in periodontal therapy -SO: Journal of clinical periodontology -YR: 2009 -VL: 36 -NO: 1 -PG: 39‐43 -PM: PUBMED 19021788 -XR: EMBASE 354090754 -PT: Journal article -KY: *bibliometrics; *dental research; *outcome assessment; *periodontal disease /therapy; *randomized controlled trial; Article; Bibliometrics; Dental Research [*methods]; Human; Humans; Methodology; Outcome Assessment, Health Care [*methods]; Periodontal Diseases [*therapy]; Randomized Controlled Trials as Topic; Validation Studies as Topic; Validation study -DOI: 10.1111/j.1600-051X.2008.01341.x -AB: AIM: Case reports (CRs) are often the first publication of a new treatment, but randomized clinical trials (RCTs) are needed to confirm the data. The aim of this study was to evaluate how many therapies published as CRs were followed by RCTs of these therapies over a 20‐year period. MATERIAL AND METHODS: Two researchers conducted a search through international periodontal journals and found the CRs on periodontal treatments published from 1984 to 1986. Subsequent electronic searches made it possible to verify how many of the treatments published as CRs were also investigated through RCTs over the following 20 years. RESULTS: Thirty‐one different therapies were selected out of the 33 published CRs; 15 (48%) of these 31 treatments were investigated by RCTs over the next 20 years. CONCLUSIONS: As 52% of the CRs were not validated by RCTs, practitioners should view their results with caution. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01778515/full - - -Record #35 of 151 -ID: CN-01708884 -AU: Smith BA -AU: Lee HJ -AU: Lee JH -AU: Choi M -AU: Jones DE -AU: Bausell RB -AU: Broome ME -TI: Quality of reporting Randomized Controlled Trials (RCTs) in the nursing literature: application of the Consolidated Standards of Reporting Trials (CONSORT) -SO: Nursing outlook -YR: 2008 -VL: 56 -NO: 1 -PG: 31‐37 -PM: PUBMED 18237622 -XR: EMBASE 351139860 -PT: Journal article -KY: *nursing research; *publication; *publishing; *randomized controlled trial; Analysis of Variance; Analysis of variance; Article; Bibliometrics; Human; Humans; Nursing Research [*standards]; Periodicals as Topic [*standards]; Publishing [*standards]; Quality Control; Quality control; Randomized Controlled Trials as Topic [*standards]; Standard -DOI: 10.1016/j.outlook.2007.09.002 -AB: In the era of evidence‐based practice (EBP), Randomized Controlled Trials (RCTs) may provide the best evidence of the efficacy of nursing interventions and yet the quality of RCT reporting in nursing literature has not been evaluated. The purposes of this study were to apply the Consolidated Standards of Reporting Trials (CONSORT) statement to published reports of nursing science, examine how adequately the published reports adhere to the statement, and examine the effect of the adoption of CONSORT on the quality of the RCT published reports. One hundred RCTs from 2002‐2005 were identified from 4 nursing journals. Articles were randomly assigned to 4 reviewers and the quality of the published reports was evaluated using a modified CONSORT checklist. There was no difference between the 4 journals in the quality of the published reports of RCTs based on the modified CONSORT checklist employed (F = 1.27, P =.29). The quality of reporting of RCTs improved significantly in the only journal, Nursing Research, to adopt the CONSORT statement during the study period (t =‐2.70, P =.01). Adoption of CONSORT is recommended as it may lead to an overall improvement in quality of reporting of RCTs in nursing journals. The profession may also wish to explore the use or development of standards similar to CONSORT but ones more appropriate for the types of research typical of that published by nurse scientists. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01708884/full - - -Record #36 of 151 -ID: CN-01755760 -AU: Yu GP -AU: Gao SW -TI: Quality of clinical trials of Chinese herbal drugs, a review of 314 published papers -SO: Zhongguo zhong xi yi jie he za zhi zhongguo zhongxiyi jiehe zazhi = chinese journal of integrated traditional and western medicine -YR: 1994 -VL: 14 -NO: 1 -CC: Complementary Medicine -PG: 50‐52 -PM: PUBMED 8044004 -XR: EMBASE 24919810 -PT: Journal article -KY: *clinical trial; *randomized controlled trial; Bibliometrics; China; Clinical Trials as Topic; Controlled clinical trial; Drugs, Chinese Herbal [therapeutic use]; Human; Humans; Periodicals as Topic; Publication; Quality Control; Quality control; Randomized Controlled Trials as Topic; Review -AB: The study was based on a review of clinical trials for herbal drugs published in various journals. Three journals selected were Chinese Journal of Integrated Traditional and Western Medicine (JITWM), Journal of Traditional Chinese Medicine (JTCM), and a provincial Journal of Traditional Medicine (JTM). In order to reflect different levels of the journal, each paper of the clinical trials of herbal drugs in the above‐mentioned journals during the survey years, 1991, 1987 and 1980 (or 1981) was reviewed using a standard checklist and quantified through a score system. A total of 314 paper were reviewed, in which 179 in 1991, 82 in 1987, and 53 in 1980 and 1981. Controlled trials were found in 86% of JITWM, 40.8% of JTCM, and 26.8% of JTM in 1991. Although there was an increased trend in the use or randomized trials, it still showed a lower proportion, respectively 52.9% in JITWM, 36.0% in JTCM, and 11.1% in JTM. We found that the quality of clinical trials in JITWM was the first, JTCM the second, JTM the third and showed a gradually improved trend with time. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01755760/full - - -Record #37 of 151 -ID: CN-01752788 -AU: Kaido T -TI: Analysis of randomized controlled trials on hepatopancreatic surgery -SO: Digestive diseases and sciences -YR: 2006 -VL: 51 -NO: 10 -PG: 1761‐1766 -PM: PUBMED 16957997 -XR: EMBASE 46234955 -PT: Journal article -KY: *bibliometrics; *liver resection; *pancreatectomy; *randomized controlled trial; Bibliometrics; Clinical trial; Controlled clinical trial; Hepatectomy [*statistics & numerical data]; Human; Humans; Pancreatectomy [*statistics & numerical data]; Randomized Controlled Trials as Topic [*statistics & numerical data]; Review; Statistics -DOI: 10.1007/s10620-006-9219-9 -AB: The randomized controlled trial (RCT) is an important research method, providing the highest evidence and playing a pivotal role in the performance of evidence‐based medicine. However, RCTs on hepatopancreatic surgery have been performed less frequently than RCTs in other fields. Therefore, this review analyzes the characteristics of RCTs on hepatic and pancreatic surgery to propose a breakthrough. We retrieved studies performed via a MEDLINE search to identify prospective RCTs on hepatopancreatic surgery in the last decade. Eligible RCTs were analyzed using the following items: study design, publication year, geographical area, sample size, multicenter study, and impact factor. Studies comparing surgical technique or methods have composed the majority of the RCTs involving hepatectomy and pancreatectomy. About half of the RCTs on hepatectomy have been performed in East Asia, whereas most of the RCTs on pancreatectomy were undertaken in Western countries. The average sample number of RCT on hepatectomy is significantly smaller than those in other fields. Moreover, multicenter studies are less frequently performed on hepatectomy compared with pancreatectomy. Promoting the organization of multicenter studies would be the best way to increase the number and sample size of RCTs on hepatectomy. Adequate RCTs observing the Consolidated Standards of Reporting Trials statements are necessary to obtain reliable evidence. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01752788/full - - -Record #38 of 151 -ID: CN-01724005 -AU: Miyaki K -TI: Genetic polymorphisms in homocysteine metabolism and response to folate intake: a comprehensive strategy to elucidate useful genetic information -SO: Journal of epidemiology -YR: 2010 -VL: 20 -NO: 4 -PG: 266‐270 -PM: PUBMED 20571252 -XR: EMBASE 359229744 -PT: Journal article -KY: *genetic association; *single nucleotide polymorphism; Bibliometrics; Blood; Folic Acid [*administration & dosage]; Genetic Association Studies; Genetics; Genome‐Wide Association Study; Homocysteine [blood, *metabolism]; Human; Humans; Meta analysis; Metabolism; Meta‐Analysis as Topic; Methylenetetrahydrofolate Reductase (NADPH2) [*genetics]; Polymorphism, Single Nucleotide; Randomized Controlled Trials as Topic; Randomized controlled trial; Review -DOI: 10.2188/jea.JE20100042 -AB: Homocysteine is a risk factor for atherosclerosis, and the level of homocysteine in plasma is known to be strongly influenced by genetic factors‐not only rare variants, but also common polymorphisms. This report describes a comprehensive postgenomic strategy for elucidating useful genetic information about homocysteine metabolism. The standard method for gathering such information is the candidate gene approach, which is an effective method based on known biological information. After collecting evidence from independent research projects, a critical epidemiological review permits a determination as to whether a putative association is true or not. A genome‐wide association study (GWAS), which requires no biological information, can identify new candidates and confirm associations suggested by the candidate gene approach. The importance of methylenetetrahydrofolate reductase (MTHFR) C677T polymorphism, which was shown in a randomized controlled trial conducted by the present author, and in other studies, was independently confirmed by a large‐scale GWAS. GWASs have also identified new candidate genes, but these must be confirmed by independent studies. In homocysteine metabolism, the classical candidate gene approach was sufficiently robust to detect the true association. However, candidate markers newly discovered by GWAS need to be confirmed by well‐designed epidemiological studies to determine their significance. International statements, such as CONSORT and STREGA, provide useful principles for conducting such research. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01724005/full - - -Record #39 of 151 -ID: CN-01733696 -AU: Peng WN -AU: Liu ZS -AU: Deng YH -AU: Mao M -AU: Yu JN -AU: Du Y -TI: Evaluation of literature quality of acupuncture for treatment of herpes zoster and approach to the laws of treatment -SO: Zhongguo zhen jiu [Chinese acupuncture & moxibustion] -YR: 2008 -VL: 28 -NO: 2 -CC: Complementary Medicine -PG: 147‐150 -PM: PUBMED 18405162 -XR: EMBASE 351604008 -PT: Journal article -KY: *acupuncture; *bibliometrics; *herpes zoster /diagnosis /therapy; Acupuncture Therapy; Bibliometrics; Follow up; Follow‐Up Studies; Herpes Zoster [diagnosis, *therapy]; Human; Humans; Randomized Controlled Trials as Topic; Randomized controlled trial; Review -AB: OBJECTIVE: To assess the quality of literature of clinical studies on acupuncture in treatment of herpes zoster. METHODS: The literatures between 1994‐2006 were searched by means of electronic retrieval. Type and methodology, general condition, diagnosis of diseases and enrolled and excluded criteria, assessment of sample content, treatment condition, criteria for assessment of therapeutic effects, following‐up, etc. in clinical studies are evaluated according to principles and methods of clinical epidemiology and evidence‐based medicine. RESULTS: Of the 399 literatures enrolled, only 8 were authentic randomized controlled trials (RCTs), 20 quasi‐randomized controlled trials, 66 non‐randomized concurrent controlled trials and 277 narrative studies, 70 had clear diagnostic criteria, 16 mentioned enrolled or excluded criteria, 287 had clear criteria for therapeutic effects, 107 reported follow‐up, 2 had the description of health economical index, 9 reported adverse reaction. CONCLUSION: At present, correct randomization, concealment, blinding and placebo‐control, and the RCTs with generally accepted criteria for assessment of diagnosis and therapeutic effects, safety evaluation and rational design of follow‐up are needed. It is indicated by preliminary study of the literatures that blood‐letting puncture and cupping at Ashi points are main methods for treatment of herpes zoster. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01733696/full - - -Record #40 of 151 -ID: CN-01784882 -AU: Wang C -AU: He WJ -AU: Guo Y -TI: Analysis on acupuncture related articles published in periodicals in science citation index (SCI) in 2008 -SO: Zhongguo zhen jiu [Chinese acupuncture & moxibustion] -YR: 2010 -VL: 30 -NO: 9 -CC: Complementary Medicine -PG: 755‐758 -PM: PUBMED 20886797 -XR: EMBASE 359808015 -PT: Journal article -KY: *acupuncture; *bibliometrics; *publication; *science; Acupuncture Therapy [*statistics & numerical data]; Article; Bibliometrics; Journal Impact Factor; Journal impact factor; Periodicals as Topic [*statistics & numerical data]; Randomized Controlled Trials as Topic; Randomized controlled trial; Science [*statistics & numerical data]; Statistics -AB: Acupuncture related articles published in periodicals in Science Citation Index (SCI) in 2008 were summarized and analyzed. About 583 articles were collected using "acupuncture" and "in 2008" as keywords in the Web of Science data base by information retrieval. These papers were summarized and analyzed from various aspects of country, language, subject category, literature type, publication sources, impact factor, research method, acupoints, disease category and needling methods by using Excel software combined with manual sorting of the literature, the aim is to provide a reference for domestic acupuncture research. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01784882/full - - -Record #41 of 151 -ID: CN-02176320 -AU: Lorenzon L -AU: Grossman RC -AU: Soreide K -TI: Impact of Randomized Controlled Trials in the Social Media: does Science Trend As Much As Everyday Events? -SO: World journal of surgery -YR: 2021 -VL: 45 -NO: 1 -PG: 88‐96 -PM: PUBMED 32892272 -XR: EMBASE 632797327 -PT: Journal article -KY: *bibliometrics; *medicine; *randomized controlled trial (topic); *social media; Bibliometrics; Human; Humans; Information Dissemination; Information dissemination; Journal Impact Factor; Journal impact factor; Medicine [statistics & numerical data]; Randomized Controlled Trials as Topic; Social Media [statistics & numerical data] -DOI: 10.1007/s00268-020-05769-8 -AB: BACKGROUND: The approach to the scientific literature is evolving. Currently, dissemination of articles happens in real time through social media (SoMe) channels, and little is known about its impact in medicine. The aim of this study was to investigate if SoMe dissemination followed trends independent from articles type and content. METHODS: First, the SoMe engagement of a popular theme (#BlackFriday) and a relevant theme (#ClimateChange) was compared using a SoMe analytic tool to test if the popular theme would reach more engagement. In a second analysis, themes in colorectal surgery in the SoMe community were explored. Altmetric Explorer was searched for the term "colorectal surgery" and the outputs were categorized into 'randomized controlled trials' (RCTs) and 'other studies'. Subgroups were compared for the Altmetric scores using statistical analyses. RESULTS: The analytic tool documented that #BlackFriday outnumbered #ClimateChange in mentions and engagement (1.6 million vs 127.000 mentions). Following, Altmetric Explorer identified 1381 articles, including 92 RCTs (7.1%). Overall, 25,554 mentions were documented from 1205 outputs (97.0% by Twitter). A greater percentage of "other studies" ranked in the lower Altmetric score categories (p = 0.0007). Similarly, the median Altmetric score was higher in the RCT subgroup comparing with "other studies" (6.5 vs. 2.0, Mann‐Whitney p = 0.0001). CONCLUSIONS: In this study, RCTs represented just the 7.1% of the studies and produced 11% of Twitter outputs. The median Altmetric scores obtained by RCTs were higher than those of other studies. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02176320/full - - -Record #42 of 151 -ID: CN-02051995 -AU: Brandt JS -AU: Hadaya O -AU: Schuster M -AU: Rosen T -AU: Sauer MV -AU: Ananth CV -TI: A Bibliometric Analysis of Top-Cited Journal Articles in Obstetrics and Gynecology -SO: JAMA network open -YR: 2019 -VL: 2 -NO: 12 -PG: e1918007 -PM: PUBMED 31860106 -XR: EMBASE 630324944 -PT: Journal article -KY: *gynecology; *obstetrics; Adult; Article; Bibliometrics; Controlled study; Cross‐Sectional Studies; Endometriosis; Female; Gynecology [*statistics & numerical data]; Human; Humans; Journal Impact Factor; Obstetrics [*statistics & numerical data]; Osteoporosis; Periodicals as Topic [*statistics & numerical data]; Preeclampsia; Publishing; Randomized controlled trial; SciSearch; Writing -DOI: 10.1001/jamanetworkopen.2019.18007 -AB: Importance: Citation analysis is a bibliometric method that uses citation rates to evaluate research performance. This type of analysis can identify the articles that have shaped the modern history of obstetrics and gynecology (OBGYN). Objectives: To identify and characterize top‐cited OBGYN articles in the Institute for Scientific Information Web of Science's Science Citation Index Expanded and to compare top‐cited OBGYN articles published in specialty OBGYN journals with those published in nonspecialty journals. Design, Setting, and Participants: Cross‐sectional bibliometric analysis of top‐cited articles that were indexed in the Science Citation Index Expanded from 1980 to 2018. The Science Citation Index Expanded was queried using search terms from the American Board of Obstetrics and Gynecology's 2018 certifying examination topics list. The top 100 articles from all journals and the top 100 articles from OBGYN journals were evaluated for specific characteristics. Data were analyzed in March 2019. Main Outcomes and Measures: The articles were characterized by citation number, publication year, topic, study design, and authorship. After excluding articles that featured on both lists, top‐cited articles were compared. Results: The query identified 3767874 articles, of which 278846 (7.4%) were published in OBGYN journals. The top‐cited article was published by Rossouw and colleagues in JAMA (2002). Top‐cited articles published in nonspecialty journals were more frequently cited than those in OBGYN journals (median [interquartile range], 1738 [1490‐2077] citations vs 666 [580‐843] citations, respectively; P <.001) and were more likely to be randomized trials (25.0% vs 2.2%, respectively; difference, 22.8%; 95% CI, 13.5%‐32.2%; P <.001). Whereas articles from nonspecialty journals focused on broad topics like osteoporosis, articles from OBGYN journal focused on topics like preeclampsia and endometriosis. Conclusions and Relevance: This study found substantial differences between top‐cited OBGYN articles published in nonspecialty vs OBGYN journals. These differences may reflect the different goals of the journals, which work together to ensure optimal dissemination of impactful articles.. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02051995/full - - -Record #43 of 151 -ID: CN-01333605 -AU: Campbell MA -AU: Alter DA -TI: The extent to which music has penetrated medical research: a bibliometric review -SO: Irish journal of medical science -YR: 2017 -VL: 186 -NO: 1 -PG: S35‐S36 -XR: EMBASE 614572053 -PT: Journal article; Conference proceeding -KY: *medical research; *music therapy; Controlled clinical trial; Controlled study; Filter; Growth rate; Human; Preclinical study; Publication; Quantitative study; Randomized controlled trial; Recall; Scientist -DOI: 10.1007/s11845-016-1532-5 -AB: The growth of music in medical research in recent years has been extensive. This research has explored music processing, music therapy techniques and more. This project therefore set out to quantify the extent to which music has penetrated medical research. All biomedical publications relevant to music on GoPubMed from 1970 to 2015 were searched. 400 abstracts were chosen randomly by one researcher and manually searched by another. The inclusion criteria was adjusted until a bibliometric filter with>90% precision and recall was achieved. We measured the yearly number of music medicine publications and performed a time trends analysis of this growth. Time trends analysis was also performed for all GoPubMed publications, and publications relating to drug therapy, to compare growth rates. Finally, we investigated which journals music medicine publications appeared in over time, and how study methodologies have changed. Music medicine publications increased from 96 in 1970 to 734 in 2005 and 1595 in 2015: a 1560% increase 1970‐2015 and a 117% increase 2005‐2015. Music medicine research grew more rapidly since 1970 and 2005 than the growth of all research. While relative research interest is lower than drug therapy, music medicine research grew more rapidly since 1970 and 2005. While many music medicine publications appear in lower‐impact journals, the proportion of publications in mid‐impact journals has increased. Finally, music medicine research has shifted from pre‐clinical to more clinical and randomized control trials. These findings imply that as a society we may be beginning to accept music more in medical research and application. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01333605/full - - -Record #44 of 151 -ID: CN-02603943 -AU: Wang H -AU: Ye Q -AU: Xu W -AU: Wang J -AU: Liu J -AU: Xu X -AU: Zhang W -TI: Research trends of worldwide ophthalmologic randomized controlled trials in the 21st century: a bibliometric study -SO: Advances in ophthalmology practice and research -YR: 2023 -VL: 3 -NO: 4 -PG: 159‐170 -PM: PUBMED 37846318 -PT: Journal article -DOI: 10.1016/j.aopr.2023.07.003 -AB: BACKGROUND: Randomized controlled trials (RCTs) are often considered the gold standard and the cornerstone for clinical practice. However, bibliometric studies on worldwide RCTs of ophthalmology published in the 21st century have not been reported in detail yet. This study aims to perform a bibliometric study and visualization analysis of worldwide ophthalmologic RCTs in the 21st century. METHODS: Global ophthalmologic RCTs from 2000 to 2022 were searched in the Web of Science Core Collection. The number of publications, country/region, institution, author, journal, and research hotspots of RCTs were analyzed using HistCite, VOSviewer, CiteSpace, and Excel software. RESULTS: 2366 institutions and 90 journals from 83 countries/regions participated in the publication of 1769 global ophthalmologic RCTs, with the United States leading in the number of volumes and research field, and the Moorfields Eye Hospital contributing to the most publications. Ophthalmology received the greatest number of publications and co‐citations. Jeffrey S. Heier owned the most publications and Jost B. Jonas owned the most co‐citations. The knowledge foundations of global ophthalmologic RCTs were mainly retinopathy, glaucoma, dry eye disease (DED), and cataracts, and anti‐vascular endothelial growth factor (VEGF) therapy (ranibizumab), topical ocular hypotensive medication, laser trabeculoplasty. Anti‐VEGF therapy for age‐related macular degeneration (AMD), DME (diabetic macular edema), and DED, the use of new diagnostic tools, and myopia were the hottest research highlights. Anti‐VEGF therapy, prompt laser, triamcinolone, and verteporfin photodynamic therapy for AMD, DME, and CNV (choroidal neovascularization), DED, myopia, and open‐angle glaucoma were the research hotspots with the longest duration. The future research hotspots might be DED and the prevention and control of myopia. CONCLUSIONS: Overall, the number of global ophthalmologic RCTs in the 21st century was keeping growing, there was an imbalance between the regions and institutions, and more efforts are required to raise the quantity, quality, and global impact of high‐quality clinical evidence in developing countries/regions. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02603943/full - - -Record #45 of 151 -ID: CN-01943043 -AU: Wang M -AU: Li MC -AU: Wang JH -AU: Xin X -AU: Ren L -TI: Traditional medicine for antipsychotic drugs induced constipation: a bibliometric analysis of clinical studies -SO: Advances in integrative medicine -YR: 2019 -VL: 6 -CC: Complementary Medicine -PG: S115 -XR: EMBASE 2001763379 -PT: Journal article; Conference proceeding -KY: *Chinese medicine; *constipation; Adult; Adverse drug reaction; Auricular acupuncture; Case study; Clinical practice; Comparative effectiveness; Conference abstract; Drug safety; English (language); Female; Herbal medicine; Human; Major clinical study; Male; Medline; Patent; Pharmacokinetics; Plant leaf; Randomized controlled trial; Side effect; WanFang Database -DOI: 10.1016/j.aimed.2019.03.333 -AB: Background: Traditional medicine has a long history being used to treat constipation, and also commonly adjunct with antipsychotic drugs to improve constipation for psychopath in China. Our aim in this study was to conduct a comprehensive bibliometric analysis to get knowledge of the current situation of clinical practice and research. Methods: We included all types of clinical studies including randomized controlled trials (RCTs), clinical controlled trials (CCTs), and case series (CSs). We searched four Chinese and English language electronic databases from inception to December 06 2018, including: CNKI, VIP, Wan Fang Database, and PubMed. Results: We identified 97 studies with 11752 participants from 1991 to 2016, including: 31 CSs, 11 CCTs, 55 RCTs. The reported therapies were Chinese medicine decoction (28, 28.87%), Chinese patent medicine (26, 26.80%), single herbal medicine (15, 15.46%), ear acupuncture (6, 6.19%), body acupuncture (4, 4.12%), acupoint paste (4, 4.12%), acupuncture with tuina (3, 3.09%), Ziwu liuzhu low frequency treatment instrument (3, 3.09%), et al. The most frequent used single herbal were folium sennae (10 studies, dosage from 1.5 to 500 g), the most common used Chinese patent medicine were “An shen jian pi tang jiang” (5 studies). The frequent used acupoint stimulation were Tianshu (13 studies), Shangjuxu (10 studies), Zusanli (7 studies), Shenjue (4studies). No studies reported serious adverse events. Conclusions: Traditional medicine has been substantially studied and used in relieving antipsychotic drugs induced constipation, but more clinical trials are required to evaluate its effectiveness and safety, to provide evidence for its clinical application. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01943043/full - - -Record #46 of 151 -ID: CN-01759967 -AU: Zhou F -AU: Liu J -TI: Characteristics of clinical studies of summer acupoint herbal patching: a bibliometric analysis -SO: Journal of alternative and complementary medicine (New York, N.Y.) -YR: 2016 -VL: 22 -NO: 6 -CC: Complementary Medicine -PG: A134 -XR: EMBASE 611808055 -PT: Journal article; Conference proceeding -KY: *summer; Adolescent; Adult; Aged; Allergic rhinitis; Asthma; Case study; Child; China; Chinese medicine; Chronic obstructive lung disease; Clinical trial; Controlled clinical trial; Controlled study; Cross‐sectional study; Data base; Human; Major clinical study; Randomized controlled trial; Respiratory tract infection; Western medicine -DOI: 10.1089/acm.2016.29003.abstracts -AB: Purpose: Summer acupoint herbal patching (SAHP) has been widely used in China for thousands of years. This bibliometric analysis aims to provide a comprehensive review of the characteristics of clinical studies on SAHP for any condition. Methods: We included clinical studies such as randomized clinical trials (RCTs), controlled clinical studies (CCTs), case series (CSs), case reports (CRs), and cross‐sectional studies on SAHP for any condition. Six databases were searched from date of inception to March 2015. Bibliometric information and study details such as study type, characteristics of participants, details of the intervention and comparison, and outcome were extracted and analyzed. Results: A total of 937 clinical studies were identified and which were published between 1977 and 2015. This included 404 RCTs, 52 CCTs, 458 CSs, 19 CRs and 4 cross‐sectional studies and involved 232,138 participants aged 2 to 90 years from two countries. Almost all studies were from China (936, 99.89%). The five conditions most commonly treated by SAHP were asthma (401, 42.80%), chronic bronchitis (146, 15.58%), allergic rhinitis (117, 12.49%), chronic obstructive pulmonary disease (73, 7.79%), and recurrent respiratory tract infection (42, 4.48%). Among 502 controlled studies, the majority compared SAHP alone with different controls (16 categories, 275 comparisons). The most commonly used controls were Western medicine, placebo, traditional Chinese medicine, no treatment and non‐pharmaceutical traditional Chinese therapies. Composite outcome measures were the most frequently reported outcome (512, 69.19%). Conclusion: A substantial amount of research on SAHP has been published in China and which predominantly focuses on respiratory conditions. The findings from this study can be used to inform further research by highlighting areas of greatest impact for SAHP. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01759967/full - - -Record #47 of 151 -ID: CN-02259140 -AU: Seivright JR -AU: Thompson AM -AU: Villa NM -AU: Shi VY -AU: Hsiao JL -TI: Bibliometric Analysis of the 50 Most Cited Publications in Hidradenitis Suppurativa -SO: Skin appendage disorders -YR: 2021 -VL: 7 -NO: 3 -PG: 173‐179 -XR: EMBASE 634351109 -PT: Journal article -KY: *bibliometrics; *publication; *suppurative hidradenitis /drug therapy; Article; Comorbidity; Evidence based practice; Human; Pathogenesis; Patient care; Practice guideline; Priority journal; Randomized controlled trial (topic) -DOI: 10.1159/000513771 -AB: Background: Hidradenitis suppurativa (HS) has historically been a neglected disease. However, research in this field has grown exponentially in the past decade. Methods: The top‐cited HS articles from 1950 to 2020 were analyzed for authorship, study topic, study design, and senior author country of origin. Results: We found that nearly half of the top 50 cited articles were published in the last decade, with a recent increase in the number of highly cited randomized controlled trials. Medical treatment is the most cited topic, with more attention on biologics over time. The past decade has seen an increase in highly cited articles on HS comorbidities, pathogenesis, and clinical practice guidelines. There has been a predominance of highly cited HS research from Europe; highly cited studies from Africa, Asia, Australia, and South America are lacking. Conclusions: Recent advances in HS research have focused on investigating HS pathogenesis and drug development, highlighting disease comorbidities, and improving evidence‐based care. Studies in pathogenesis have translated into a paradigm shift in medical treatment from antibiotics to incorporation of targeted therapies in recent years. Encouraging growth of HS research in countries outside of North America and Europe may help to optimize HS care globally. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02259140/full - - -Record #48 of 151 -ID: CN-02333811 -AU: Dorgham A -AU: García F -AU: Serrano S -AU: Gómez MA -AU: Ruíz -TI: A bibliometric analysis of the EU research in the respiratory system beween 1987-1998 -SO: Archivos de bronconeumología -YR: 2001 -VL: 37 -NO: Suppl 1 -CC: Cochrane Iberoamerica -PG: 49 -PT: Journal article -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02333811/full - - -Record #49 of 151 -ID: CN-02195057 -AU: Wilson M -AU: Sampson M -AU: Doja A -TI: A bibliometric analysis of publication patterns of neurology articles in general medicine journals -SO: Neurology -YR: 2020 -VL: 94 -NO: 15 -XR: EMBASE 633066858 -PT: Journal article; Conference proceeding -KY: *general practice; *neurology; Conference abstract; Controlled study; Endocrine disease; Endocrinology; Gastroenterology; Gastrointestinal disease; Human; Immunology; Immunopathology; Medical Subject Headings; Medical literature; Medical society; Medline; Neurologic disease; Randomized controlled trial; Respiratory tract disease; United States -AB: Objective: To examine the publication patterns of neurology articles in general medicine (GM) journals. Background: Researchers in neurology have many options in selecting where to publish peerreviewed articles. A significant portion of neurology literature is published in GM journals. Despite this, the precise publication patterns of neurology articles in these journals has yet be examined. We therefore assessed the publication patterns of neurology articles in GM journals over a 10‐year period using a bibliometric approach. Design/Methods: The top 5 general medicine journals were identified using the 2017 Journal Citations Report (JCR) by Clarivate Analytics. We selected 4 other medical subspecialties for comparison of publication patterns with neurology: immunology, endocrinology, gastroenterology, and respirology. Using Ovid MEDLINE, we searched the 5 journals for articles published between April 2009 and April 2019 that were indexed with the following MeSH terms: nervous system diseases, immune system diseases, endocrine system diseases, gastrointestinal diseases, and respiratory tract diseases. Results: The GM journals with the 5 highest impact factors were: New England Journal of Medicine (NEJM) (79.3), Lancet (53.3), Journal of the American Medical Association (JAMA) (47.7), British Medical Journal (BMJ) (23.6), and Public Library of Science Medicine (PLOS Medicine) (11.7). Our bibliometric search yielded 3719 publications, of which 1098 were in neurology. Of these 1098 neurology publications, 317 were published in NEJM, 205 in the Lancet, 284 in JAMA, 214 in BMJ, and 78 in PLOS Medicine. Randomized controlled trials were the most frequent neurology study type in GM journals. The number of publications in each of the other specialties was: immunology (817), endocrinology (633), gastroenterology (353), and respirology (818). Conclusions: Our results provide some guidance to authors regarding where they may wish to consider submitting their neurology research. Neurology‐based articles are published more frequently in GM journals than other specialties. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02195057/full - - -Record #50 of 151 -ID: CN-02417130 -AU: Gutman SA -AU: Brown T -TI: A Bibliometric Analysis of the Quantitative Mental Health Literature in Occupational Therapy -SO: Occupational therapy in mental health -YR: 2018 -VL: 34 -NO: 4 -PG: 305‐346 -XR: CINAHL 134784699 -PT: Journal article -KY: AMED Database; Adult; Allied Health Literature; Bibliometrics; CINAHL Database; Citation Analysis; Clinical Effectiveness; Community Reintegration; Embase; Employment, Supported; Human; In Adulthood; Medical Literature; Medline; Mental Disorders; Mental Health; Occupational Therapy; Psycinfo; Social Skills; Systematic Review; Therapy -DOI: 10.1080/0164212X.2017.1413479 -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02417130/full - - -Record #51 of 151 -ID: CN-02647362 -AU: Wang CY -AU: Zhou SC -AU: Li XW -AU: Li BH -AU: Zhang JJ -AU: Ge Z -AU: Zhang Q -AU: Hu JH -TI: Bibliometric analysis of randomized controlled trials of colorectal cancer over the last decade -SO: World journal of clinical cases -YR: 2020 -VL: 8 -NO: 14 -PG: 3021‐3030 -PM: PUBMED 32775383 -PT: Journal article -DOI: 10.12998/wjcc.v8.i14.3021 -AB: BACKGROUND: Colorectal cancer is one of the most common cancers globally. In China, its prevalence ranks fourth and fifth among females and males, respectively. Presently, treatment of rectal cancer follows a multidisciplinary comprehensive treatment approach involving surgery, radiotherapy, chemotherapy, and targeted therapy. With deepening theoretical and molecular research on colorectal cancer, randomized controlled trials (RCTs) on colorectal cancer have made significant progress. However, many RCTs have shortfalls. AIM: To investigate the RCTs of global colorectal cancer spanning from 2008 to 2018. To provide suggestions for conducting Chinese RCTs of colorectal cancer. METHODS: PubMed and Web of Science databases were searched to obtain RCTs of colorectal cancer carried out between January 1, 2008, and January 1, 2018. The bibliometric method was used for statistical analysis of the publication years, countries/regions, authors, institutions, source journals, quoted times, key words, and authors. RESULTS: Colorectal cancer RCTs showed an upward trend between 2008 to 2018; the top 10 research institutions in the included literature were from the United States, the United Kingdom, and other countries with a high incidence of colorectal cancer. Most of the related research journals are sponsored by European and American countries. The 15 most cited studies involved international multicenter clinical research, having few participants from Chinese research institutions. Network visualization using key words showed that RCTs on colorectal cancer focus on screening, disease‐free survival, drug treatment, surgical methods, clinical trials, quality of life, and prognosis. The result of the coauthorship network analysis showed that Chinese researchers are less involved in international exchanges compared to those from leading publication countries. CONCLUSION: High‐quality RCTs are increasingly favored by leading international journals. However, there is still a large gap in clinical research between China and leading countries. Researchers should implement standardized and accurate clinical trials, strengthen international multicenter cooperation, and emphasize quality control. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02647362/full - - -Record #52 of 151 -ID: CN-02703429 -AU: Giridharan S -AU: Kumar NV -TI: Bibliometric Analysis of Randomized Controlled Trials on Yoga Interventions for Cancer Patients: a Decade in Review -SO: Cureus -YR: 2024 -VL: 16 -NO: 4 -CC: Complementary Medicine -PG: e58993 -PM: PUBMED 38800314 -PT: Journal article -DOI: 10.7759/cureus.58993 -AB: This literature review presents a bibliometric analysis of the randomized controlled trials conducted between 2014 and 2023 on the potential benefits of yoga as a complementary therapy for cancer patients. To conduct this analysis, we searched medical and scientific databases, such as Scopus, Cochrane, and PubMed, using relevant keywords. Our search yielded 58 clinical trials involving 4,762 patients, which indicates a growing trend in this field of research. The studies we reviewed mainly focused on breast cancer patients and demonstrated the adaptability and versatility of yoga, offering a ray of hope and optimism. Among the various styles of yoga, Hatha yoga was the most frequently practiced style in these clinical trials. The analysis we conducted reveals that yoga interventions have a promising role in cancer care and can be a valuable complementary therapy for cancer patients. However, significant gaps and limitations still need to be addressed in this area of research. For instance, more rigorous and diverse investigations are needed to further establish the potential benefits of yoga interventions for cancer patients. Additionally, the standardization of yoga interventions is crucial to optimize therapeutic benefits. By addressing these gaps and limitations, we can further enhance the potential of yoga as a complementary therapy for cancer patients. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02703429/full - - -Record #53 of 151 -ID: CN-02326932 -AU: Castaldelli-Maia JM -AU: Riba MB -AU: Lecic-Tosevski D -AU: Chandra PS -AU: Cia A -AU: Tyrer PJ -AU: Heun R -AU: Szabo CP -TI: The main gaps for randomized-controlled trials in psychiatry: a bibliometric study -SO: Clinical chemistry and laboratory medicine -YR: 2020 -VL: 3 -NO: 1 -PG: 51‐63 -XR: EMBASE 2014529823 -PT: Journal article -KY: *bibliometrics; *psychiatry; *randomized controlled trial (topic); Acrophobia; Acute stress; Adjustment disorder; Adult; Agoraphobia; Alcoholism; Altitude disease; Anhedonia; Anorexia nervosa; Anthropophobia; Anxiety disorder; Article; Autonomic dysfunction; Behavior disorder; Bipolar disorder; Body dysmorphic disorder; Bulimia; Cardiac anxiety; Claustrophobia; Cognitive defect; Controlled study; Conversion disorder; Cross‐dressing; Delirium; Delusional disorder; Dementia; Depersonalization; Depression; Derealization; Developmental disorder; Dhat syndrome; Dissociative disorder; Drug dependence; Dyspareunia; Emotional disorder; Erectile dysfunction; Exhibitionism; Faintness; Female; Frigidity; Frotteurism; Gender dysphoria; Human; Hypersomnia; Hypoactive sexual desire disorder; Hypochondriasis; ICD‐10; Illness anxiety disorder; Insomnia; Intermittent explosive disorder; Kleptomania; Libido disorder; Major clinical study; Male; Mental deficiency; Mixed anxiety and depression; Mood disorder; Multiple personality; Necrophilia; Neurasthenia; Neurosis; Nightmare; Obsessive compulsive disorder; Occupational disease; Panic; Pathological gambling; Personality disorder; Phobia; Postnatal depression; Posttraumatic stress disorder; Premature ejaculation; Prevalence; Priority journal; Psychasthenia; Psychogenic impotence; Psychogenic pain; Psychosis; Psychosomatic disorder; Public health; Puerperal psychosis; Randomized controlled trial; Sadomasochism; Schizoaffective psychosis; Schizophrenia; Sex with animals; Sexual arousal disorder; Sexual dysfunction; Sexual maturation; Sexual orientation; Sleep disorder; Sleep terror; Sleep walking; Somatization; Somatoform disorder; Tobacco dependence; Trichotillomania; Vaginism; Voyeurism -DOI: 10.2478/gp-2020-0008 -AB: There is evidence of a progressive increase in the number of Randomized Controlled Trials (RCTs) in the area of psychiatry. However, some areas of psychiatry receive more attention from researchers potentially to the detriment of others. Aiming to investigate main gaps for RCTs in psychiatry, the present bibliometric study analysed the bi‐annual and five‐year rates of RCTs in the main database of medical studies (Pubmed) over the 1999‐2018 period (n = 3,449). This analysis was carried out using the ICD‐10 mental and behavioural chapter. ICD‐10, was the edition of the manual used throughout the above period. Overall, after 16 years of considerable increase in the bi‐annual absolute number of RCTs, there has been a slowdown in the last 4 years, similar to other medical areas. Affective, organic and psychotic disorders, and depression, schizophrenia and dementia were the top studied groups and disorders respectively ‐ ahead of other groups/diagnoses. For substance use disorders, there has been a decrease of RCT in the last 5 years, in line with the fall of alcohol use disorder in the ranking of most studied disorders. Delirium and mild cognitive disorder are both ascending in this ranking. Personality disorders and mental retardation stand out as the least studied groups over the whole assessment period. Novel treatments, ease of access to patient populations, and 'clinical vogue', seem to be more important in guiding the undertaking of RCTs than the actual need as indicated by prevalence and/or burden of disorders and public health impact. Regarding specific disorders, acute/transient psychosis; mixed anxiety and depression; adjustment disorder; dissociative and conversion disorders; somatization; hypochondria; and neurasthenia, would deserve future RCTs. Clinical researchers and editors of scientific journals should give special attention to the less studied areas and disorders, when considering conducting and publishing RCT studies, respectively. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02326932/full - - -Record #54 of 151 -ID: CN-01779587 -AU: Bernardo DA -AU: Protzko S -AU: Harrington J -AU: Dudden RF -AU: Lee-Chiong T -TI: A bibliometric analysis of sleep research indexed in Pubmed, 2003-2007 -SO: Sleep medicine -YR: 2009 -VL: 10 -PG: S15 -XR: EMBASE 70238210 -PT: Journal article; Conference proceeding -KY: *Medline; *sleep; Data base; Government; Growth rate; Language; Medical Subject Headings; Meta analysis; Parasomnia; Randomized controlled trial; Scientific literature; Sleep apnea syndromes; Sleep disorder -AB: Introduction: Sleep Medicine has grown into a multi‐disciplinary field due to the rapid progression in knowledge, which resulted in an increase in scientific literature publications on this topic. Objective: To review the current status of publication activity on the subject of sleep and sleep disorders for the period 2003‐2007 in the top 20 journal publications of chosen specialties based on the journals' five‐year impact factor. Specifically, to determine which journals publish the most articles and the ratio of sleep articles in each publication, the types of references being published, and which subjects are most written about. Methods: The top 20 journal titles of chosen specialties were determined based on the five‐year impact factor from the Journal Citation Reports. A MEDLINE search for articles published from 2003 to 2007 was done using medical subject heading (MeSH) terms. EndNote and Excel were used to sort and compare the articles. FileMakerPro was used match the articles to the set of journals. Results: A total of 14244 references were found in the PubMed database, 4559 of which were published in 193 journals ranked on the top 20 journal publications of chosen specialties. There was an increase in publication activity over the past 5 years with an annual growth rate of 8%. The majority of the articles were in English and only 1009 (7.1%) were in other languages with English abstracts. The greatest contribution came from the USA (31%). Besides the core journals Sleep and Sleep Medicine Review, sleep articles comprise 1.5 to 25% of the total articles in the top 50 publications with the highest number of sleep articles. In the journals with five‐year impact factors of 10 or higher, sleep articles comprised only 0.3 to 2.7% of their publications. There has been an increase in the number of articles in foreign languages and multi‐center studies, 11.26% and 14% yearly, respectively. Metaanalysis articles also grew: 30% annually. Randomized controlled trials grew 7.81% per year. Of the studies that indicated the source of support, the majority was fromthe non‐government sector. Among the chosen major topics, sleep apnea, obstructive and sleep apnea syndromes were the most written about. REM sleep behavior disorder articles showed the greatest increase in the number of articles. Conclusion: In spite of the increasing number of articles on sleep, they still comprise a small proportion of the publications in major journals outside of the core clinical journals. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01779587/full - - -Record #55 of 151 -ID: CN-01301430 -AU: Ma Y -AU: Dong M -AU: Zhou K -AU: Mita C -AU: Liu J -AU: Wayne PM -TI: Publication trends in acupuncture research: a 20-year bibliometric analysis based on pubMed -SO: PloS one -YR: 2016 -VL: 11 -NO: 12 -CC: Complementary Medicine -PG: e0168123 -PM: PUBMED 27973611 -XR: EMBASE 613668958 -PT: Journal article -KY: *Acupuncture; *Bibliometrics; *Medline; *acupuncture; *publication; Acupuncture Therapy; Alternative medicine; Analgesia; Anesthesia; Animals; Arthritis; Article; Attention; Australia; Bibliometrics; Biomedical Research [trends]; Biomedicine; Brain ischemia; Brazil; Canada; Cerebrovascular accident; China; Controlled clinical trial; Controlled study; Diabetes mellitus; Dizziness; Dysmenorrhea; Dyspepsia; Edema; Fatigue; Female; Germany; Growth rate; Herpes zoster; Hot flush; Human; Humans; Hyperlipidemia; Internal medicine; Irritable colon; Italy; Japan; Journal Impact Factor; Journal impact factor; Labor pain; Medical literature; Medical research; Medline; Menopause; Meta analysis (topic); Mood disorder; Mood disorder/th [Therapy]; Multicenter study (topic); Nausea and vomiting; Neoplasm; Neuroscience; Nonhuman; Paralysis; Parasomnia; Pregnancy; Prevalence; PubMed; Publications [*trends]; Quantitative study; Randomized Controlled Trials as Topic; Randomized controlled trial; Randomized controlled trial (topic); Regression Analysis; Regression analysis; Sleep disorder; South Korea; Study design; Systematic review; Systematic review (topic); Temporomandibular joint disorder; Tinnitus; Trend study; United Kingdom; United States; Vertigo -DOI: 10.1371/journal.pone.0168123 -AB: Objective Acupuncture has become popular and widely practiced in many countries around the world. Despite the large amount of acupuncture‐related literature that has been published, broader trends in the prevalence and scope of acupuncture research remain underexplored. The current study quantitatively analyzes trends in acupuncture research publications in the past 20 years. Methods A bibliometric approach was used to search PubMed for all acupuncture‐related research articles including clinical and animal studies. Inclusion criteria were articles published between 1995 and 2014 with sufficient information for bibliometric analyses. Rates and patterns of acupuncture publication within the 20 year observational period were estimated, and compared with broader publication rates in biomedicine. Identified eligible publications were further analyzed with respect to study type/design, clinical condition addressed, country of origin, and journal impact factor. Results A total of 13,320 acupuncture‐related publications were identified using our search strategy and eligibility criteria. Regression analyses indicated an exponential growth in publications over the past two decades, with a mean annual growth rate of 10.7%. This compares to a mean annual growth rate of 4.5% in biomedicine. A striking trend was an observed increase in the proportion of randomized clinical trials (RCTs), from 7.4% in 1995 to 20.3% in 2014, exceeding the 4.5% proportional growth of RCTs in biomedicine. Over the 20 year period, pain was consistently the most common focus of acupuncture research (37.9% of publications). Other top rankings with respect to medical focus were arthritis, neoplasms/cancer, pregnancy or labor, mood disorders, stroke, nausea/vomiting, sleep, and paralysis/palsy. Acupuncture research was conducted in 60 countries, with the top 3 contributors being China (47.4%), United States (17.5%), and United Kingdom (8.2%). Retrieved articles were published mostly in complementary and alternative medicine (CAM) journals with impact factors ranging between 0.7 and 2.8 in the top 20 journals, followed by journals specializing in neuroscience, pain, anesthesia/analgesia, internal medicine and comprehensive fields. Conclusion Acupuncture research has grown markedly in the past two decades, with a 2‐fold higher growth rate than for biomedical research overall. Both the increases in the proportion of RCTs and the impact factor of journals support that the quality of published research has improved. While pain was a consistently dominant research focus, other topics gained more attention during this time period. These findings provide a context for analyzing strengths and gaps in the current state of acupuncture research, and for informing a comprehensive strategy for further advancing the field. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01301430/full - - -Record #56 of 151 -ID: CN-01771061 -AU: Bellon Saameno JA -AU: Martinez Canabate T -TI: Research into communication and health. A Spanish and international perspective through bibliometric analysis -SO: Atencion primaria / sociedad española de medicina de familia y comunitaria -YR: 2001 -VL: 27 -NO: 7 -PG: 452‐458 -PM: PUBMED 11334591 -XR: EMBASE 33474766 -PT: Journal article -KY: *bibliometrics; *doctor patient relation; *interpersonal communication; Article; Bibliometrics; Clinical Trials as Topic [statistics & numerical data]; Clinical trial; Communication; Controlled clinical trial; Human; Humans; Meta analysis; Meta‐Analysis as Topic; Patient Education as Topic; Patient education; Physician‐Patient Relations; Randomized Controlled Trials as Topic [statistics & numerical data]; Randomized controlled trial; Research; Spain; Statistics -DOI: 10.1016/s0212-6567(01)78835-x -AB: OBJECTIVES: 1. To find the scientific output on communication and health both in Spain and internationally. 2. To compare the two outputs according to the type of articles published and the design of the research. DESIGN: Descriptive and bibliometric study. MATERIAL: The data bases MEDLINE (1995‐2000) and IME (1990‐2000) and the books summarising papers from semFYC Congresses (1995‐2000) were used. MEASUREMENTS: The number of articles on MEDLINE published and indexed with the description <>, plus a series of subject describers that could be included under the heading <>, were counted. On the IME and in the semFYC congress summaries the describers <> were used. The articles indexed on MEDLINE‐IME were compared for their classification as original articles, clinical practice guidelines, review, editorial or letter to the editor. Original articles were classified in randomised and non‐randomised trials, meta‐analysis and observation studies. MAIN RESULTS: 6766 articles were found on MEDLINE, 42 on the IME (0.046% of the total indexed) and 34 summaries from semFYC congresses (1.47% of the total). Among the most commonly studied questions were found patients' information and education, professional stress and psychological interviews; among the least studied were difficult and aggressive patients, negotiation and people accompanying patients. The original articles on MEDLINE and IME were 70% and 37%; and review articles, 11% and 44%. 1.4% of MEDLINE articles were randomised trials; and 0.08%, meta‐analysis. CONCLUSIONS: Communication and health research is a young field that still requires descriptive studies. There is little scientific output in this area in Spain, with few original papers and too many reviews. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01771061/full - - -Record #57 of 151 -ID: CN-02466886 -AU: Liu Y -AU: Liu Q -AU: Jiang X -TI: Bibliometric analysis of hotspots and frontiers in cancer-related fatigue among ovarian cancer survivors -SO: PloS one -YR: 2022 -VL: 17 -NO: 9 -PG: e0274802 -PM: PUBMED 36137125 -XR: EMBASE 639084389 -PT: Journal article -KY: *bibliometrics; *cancer fatigue; *cancer survival; *cancer survivor; *drug tolerability; *ovary cancer; Activities of Daily Living; Adult; Adverse drug reaction; Article; Bibliometrics; Cancer Survivors; Cancer chemotherapy; Carcinoma, Ovarian Epithelial; Clinical trial; Controlled study; Cyclophosphamide; Double blind procedure; Drug efficacy; Drug safety; Drug therapy; Fatigue [etiology]; Female; Human; Humans; Ovarian Neoplasms [complications]; Overall survival; Quality of Life; Quality of life; Randomized Controlled Trials as Topic; Randomized controlled trial (topic); Side effect; Systematic review; United States; Web of Science -DOI: 10.1371/journal.pone.0274802 -AB: OBJECTIVES: To explore and analyze research hotspots and frontiers in CRF in ovarian cancer patients to provide an evidence‐based basis for scholars and policymakers. BACKGROUND: Ovarian cancer is one of the most common and lethal gynecological malignancies. Cancer‐related fatigue (CRF) is an annoying and pervasive side‐effect that seriously affects the activities of daily living and decreases the quality of life (QoL) of cancer survivors. METHODS: The literature was retrieved from the Web of Science Core Collection (WOSCC) from inception to 2021‐12‐31. CiteSpace was used to discuss research countries, institutions, authors, and keywords. RESULTS: This study ultimately included 755 valid publications, and the number of publications showed a gradual upward trend. The countries, institutions, authors, and journals that have published the most articles and cited the most frequently were the United States, the University of Texas MD Anderson Cancer Center, Michael Friedlander and Amit M Oza, Gynecologic Oncology, and Journal of Clinical Oncology. The top three high‐frequency keywords were Ovarian cancer, chemotherapy, and clinical trial. The top three keywords with the strongest citation bursts were cyclophosphamide, double‐blind, and open‐label. CONCLUSIONS: Conducting multi‐center, large‐sample, randomized controlled clinical trials to determine whether chemotherapeutic agents have severe adverse effects and to discuss the relationship between CRF and QoL and overall survival in cancer survivors are hotspots in this field. The new trends may be applying double‐blind, randomized controlled trials to clarify the causes of CRF and open‐label, randomized trials to determine the efficacy, safety, and tolerability of chemotherapeutic agents. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02466886/full - - -Record #58 of 151 -ID: CN-02794469 -AU: Chen J -AU: Wang Y -AU: Jiang R -AU: Qu Y -AU: Li Y -AU: Zhang Y -TI: Application of Mendelian randomized research method in oncology research: bibliometric analysis -SO: Frontiers in oncology -YR: 2024 -VL: 14 -PG: 1424812 -PM: PUBMED 39741977 -PT: Journal article -DOI: 10.3389/fonc.2024.1424812 -AB: BACKGROUND: Cancer has always been a difficult problem in the medical field, and with the gradual deepening of Genome‐wide association studies (GWAS), Mendelian randomization methods have been increasingly used to study cancer pathogenesis. In this study, we examine the literature on Mendelian cancer, summarize the status of the research, and analyze the development trends in the field. METHODS: Publications on "Mendelian Randomization ‐ Cancer" were retrieved and downloaded from the Web of Science Core Collection database. CiteSpace 6.2.R4, VOSviewer 1.6.19, Scimago Graphica 1.0.38, Bibliometrix R‐package, and a bibliometric online analysis platform were used for data analysis and visualization. An in‐depth analysis of country or region, authors, journals, keywords, and references was performed to provide insights into the content related to the field. RESULTS: A total of 836 articles were included in the analysis; 643 authors from 72 countries had published articles related to the field. China and Harvard University (among countries and institutions, respectively) had the highest number of articles. Martin, Richard M and Smith, George Davey were the largest contributors. A total of 27 cancers have been studied, with breast, colorectal, and liver cancers being the most studied. CONCLUSION: This study is the first to use bibliometric methods to visualize the application of Mendelian randomization analysis in the field of cancer, revealing research trends and research frontiers in the field. This information will provide a strong reference for cancer researchers and epidemiologic researchers. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02794469/full - - -Record #59 of 151 -ID: CN-02647332 -AU: Seta T -AU: Takahashi Y -AU: Yamashita Y -AU: Hiraoka M -AU: Nakayama T -TI: Outcome measures reported in abstracts of randomized controlled trials in leading clinical journals: a bibliometric study -SO: Journal of general and family medicine -YR: 2020 -VL: 21 -NO: 4 -PG: 119‐126 -PM: PUBMED 32742900 -PT: Journal article -DOI: 10.1002/jgf2.306 -AB: BACKGROUNDS: The CONSORT for Abstracts checklist published in 2008 recommends that authors report effect size for their studies. Meanwhile, the FDA strongly recommends reporting both ratio and difference measures. However, the measures of effect used in recent clinical trial reports remain unknown. This study is aimed to reveal trends regarding the measures of effect of interventions described in abstracts of recent randomized controlled trials (RCTs) in leading journals. METHODS: A bibliometric analysis of data was obtained by electronic searches. Human RCTs published in 2016 in the following five journals were searched using PubMed: Annals of Internal Medicine, British Medical Journal, Journal of American Medical Association, The Lancet, and New England Journal of Medicine. Main outcome is numbers of studies reporting each measure in their abstracts. RESULTS: Among abstracts of 334 articles, measures most frequently used were relative risk alone (n = 169), followed by absolute risk alone (n = 92), and raw data alone (n = 58). Reporting of the following measures was relatively limited: both ratio and difference measures (n = 8), raw data with ratio measures (n = 5), and raw data with difference measures (n = 2). None of the studies reported raw data with both ratio and difference measures. Only 15 articles described multiple measures of effect in their abstracts. CONCLUSIONS: More than half of the RCT abstracts published in the five leading journals in 2016 reported risk ratio alone to indicate effect size. Even abstracts in the five leading journals did not adhere fully to the CONSORT for Abstracts or FDA recommendations. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02647332/full - - -Record #60 of 151 -ID: CN-01744816 -AU: Wu GW -AU: Neuhauser D -TI: The literature on quality of life and organizational randomized clinical trials -SO: Medical care -YR: 1997 -VL: 35 -NO: 12 -PG: 1171‐1172 -PM: PUBMED 9413305 -XR: EMBASE 128204068 -PT: Journal article -KY: *bibliometrics; *health services research; *quality of life; *randomized controlled trial; Bibliometrics; CD‐ROM; Clinical trial; Compact disk; Controlled clinical trial; Editorial; Health Services Research; Human; Humans; Quality of Life; Randomized Controlled Trials as Topic -DOI: 10.1097/00005650-199712000-00001 -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01744816/full - - -Record #61 of 151 -ID: CN-01995256 -AU: Kumar S -AU: Mohammad H -AU: Vora H -AU: Kar K -TI: Reporting Quality of Randomized Controlled Trials of Periodontal Diseases in Journal Abstracts-A Cross-sectional Survey and Bibliometric Analysis -SO: Journal of evidence-based dental practice -YR: 2018 -VL: 18 -NO: 2 -PG: 130‐141.e22 -PM: PUBMED 29747793 -XR: EMBASE 629431343 -PT: Journal article -KY: *bibliometrics; *periodontal disease; Bibliometrics; Brazil; Controlled study; Cross‐Sectional Studies; Cross‐sectional study; Europe; Human; Humans; India; Periodontal Diseases; Questionnaire; Randomized Controlled Trials as Topic; Randomized controlled trial; Randomized controlled trial (topic); Surveys and Questionnaires -DOI: 10.1016/j.jebdp.2017.08.005 -AB: OBJECTIVE: Randomized controlled trials (RCTs) by proper design, conduct, analysis, and reporting provide reliable information in clinical care. Reporting of RCT abstracts is of equal importance as there is evidence that many clinicians will change their clinical decisions based on RCT abstracts. The reporting quality of RCT abstracts has been suboptimal. It is not clear whether the reporting quality is related to the journal metrics. The main objective of this study is to conduct a cross‐sectional survey to evaluate the reporting quality of RCTs of periodontal diseases in journal abstracts and to perform a bibliometric analysis. The null hypothesis was that there is no association between the journal metrics (5‐year impact factor, Eigenfactor score, and Article Influence Score), abstract metrics (word count, and number of authors), journal endorsement of Consolidated Standards of Reporting Trials (CONSORT), and the overall quality of reporting of CONSORT RCT abstract‐modified checklist questions. MATERIALS: CONSORT RCT abstract extension checklist with explanation and elaboration was used and modified to assess the quality of reporting of RCT abstracts of periodontal diseases in the journal abstracts in the year 2012. Bibliometric analysis of journal metrics (5‐year impact factor, Eigenfactor score, and Article Influence Score) and abstract metrics (number of authors and abstract word count), the geographic distribution, and the CONSORT‐endorsing journal abstracts was compared with the reporting quality of RCT abstracts in periodontal diseases. Calibration and intrarater agreement were done before the data collection and analysis. A second reviewer was consulted for independent evaluation and clarification as needed. For descriptive analysis, the values of continuous variables were expressed as median and interquartile ranges (IQRs) and as proportion percent for binary categorical variables. For association analysis between the binary (yes/no) response variable and the continuous variable, the Mann‐Whitney test (for independent samples) was used. For examining the association between 2 categorical variables, Fisher's exact test was used. The chi‐square test was performed to examine the association between 2 sets of binary response variables (yes/no). A P value of < .05 was considered statistically significant. All analyses were conducted using SAS, version 9.4. CONCLUSION: The reporting quality of RCT of periodontal diseases in the journal abstracts published in 2012 needs substantial improvement. These items have been laid out in this study to help all stakeholders‐authors, clinicians, researchers, peer reviewers, journal editors, and publishers to take note and help with the improvement of the same. Despite few significant associations in the bibliometric factors analyzed with better reporting, the results overall led to the failure to reject the null hypothesis that there is no association between the journal metrics, word count, and number of authors and the quality of reporting of CONSORT RCT abstract‐modified checklist questions. RESULTS: A total of 198 RCT abstracts of periodontal diseases in the year 2012 from 57 journals were included in the study. Fifteen journals, listed as endorsers of CONSORT, contributed 108 RCT abstracts. Four journals (Journal of Periodontology, Journal of Clinical Periodontology, Clinical Oral Implants Research, and European Journal of Oral Implantology) contributed 84 of 198 RCT abstracts in 2012. European countries contributed the majority (n = 81, 40.91%) of RCT abstracts. Among 31 countries in this study, United States contributed the most RCTs (n = 28, 14.14%) followed by India (24, 12.12%), Italy (n = 22, 11.11%), and Brazil (n = 20, 10.1%). The frequency of journal metrics were 5‐year impact factor (median 2.316; IQR: 1.439‐2.970); Eigenfactor score (0.00474; 0.00202‐0.01395); and Article Influence Score (0.553; 0.382‐0.755). The number of authors in 198 RCT abstracts ranged between 2 and 20 (median n = 5, IQR: 4‐6), whereas the word count ranged between 48 and 569 (median 235, IQR: 205‐269). All RCT abstracts reported the experimental interventions (checklist question #5, frequency 100%). Some items were almost always reported‐participant eligibility criteria (#3, 99%); comparison interventions (#6, 99.5%); specific objective or hypothesis (#7, 99.5%); primary outcome (#8, 99.5%); and reporting trial results as a summary (#16, 98.5%). All RCT abstracts never reported how the allocations were concealed (#11, 0) and the source of funding for the trials (#23, 0). Some items were almost always never reported‐the number of participants included in the analysis for each intervention (#15, 2%); trial registration number (#21, 2.5%); name of trial register (#22, 2.5%); and how the randomization or sequence generation was done (#22). Dismal reporting was noted in many checklist questions including the identification of the study as randomized in the title #1, 51%; design of the trial #2, 32.8%; trial setting #4, 3.5%; randomization #10, 3.5%; blinding #12, 21.7%; details about blinding #13, 8.1%; number of participants randomized to each intervention #14, 26.3%; effect size #17, 13.6%; precision of the estimate of the effect #18, 6.1%; and adverse effects #19, 14.1%. Strikingly, there was a very high reporting of statistical significance #25, 92.4%. European countries, in particular, reported relatively better than other countries in essential questions such as #17 effect size reporting, and #18 precision (uncertainty), which have been largely unreported by rest of the countries. Finally, despite the majority of RCTs published in 2012 were by CONSORT‐endorsing journals, there was no difference in the quality of reporting in majority of checklist items when compared with journals not listed as CONSORT endorsers. With few exceptions, there was no statistically significant association between the majority of the CONSORT RCT abstract checklist questions and the journal metrics and abstract metrics analyzed in this study. Unexpectedly, lower ranking journals in journal metrics reported certain essential checklist questions relatively better. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01995256/full - - -Record #62 of 151 -ID: CN-01978256 -AU: Luc JGY -AU: Archer MA -AU: Arora RC -AU: Bender EM -AU: Blitz A -AU: Cooke DT -AU: Hlci TN -AU: Kidane B -AU: Ouzounian M -AU: Varghese TK -AU: et al. -TI: Social Media Improves Cardiothoracic Surgery Literature Dissemination: results of a Randomized Trial -SO: Annals of thoracic surgery -YR: 2020 -VL: 109 -NO: 2 -PG: 589‐595 -PM: PUBMED 31404547 -XR: EMBASE 629071958 -PT: Journal article -KY: *heart surgery; *social media; Adult; Article; Bibliometrics; Controlled study; Education; Female; Human; Human experiment; Information Dissemination; Male; Prospective study; Publishing [*statistics & numerical data]; Randomized controlled trial; Social Media; Thoracic Surgery -DOI: 10.1016/j.athoracsur.2019.06.062 -AB: BACKGROUND: The Thoracic Surgery Social Media Network (TSSMN) represents a collaborative effort of leading journals in cardiothoracic surgery to highlight publications via social media, specifically Twitter. We conducted a prospective randomized trial to determine the effect of scheduled tweeting on nontraditional bibliometrics of dissemination. METHODS: A total of 112 representative original articles (2017‐2018) were selected and randomized 1:1 to an intervention group to be tweeted via TSSMN or a control (non‐tweeted) group. Four articles per day were tweeted by TSSMN delegates for 14 days. Primary endpoints included change in article‐level metrics (Altmetric) score pre‐tweet and post‐tweet compared with the control group. Secondary endpoints included change in Twitter analytics day 1 post‐tweet and day 7 post‐tweet for each article compared with baseline. RESULTS: Tweeting via TSSMN significantly improved article Altmetric scores (pre‐tweet 1 vs post‐tweet 8; P < .001), Mendeley reads (pre‐tweet 1 vs post‐tweet 3; P < .001), and Twitter impressions (day 1 post‐tweet 1599 vs day 7 post‐tweet 2296; P < .001). Subgroup analysis demonstrates that incorporating photos into the tweets trended toward increased link clicks to the full‐text article (P = .08) whereas tweeting at 1 pm Eastern Standard Time and 9 pm Eastern Standard Time generated the highest and lowest audience reach (P = .022), respectively. Articles published in adult cardiac surgery achieved the highest change in Altmetric score (P = .028) and Mendeley reads (P = .028), and were more likely to be retweeted (P = .042) than were those published on education, general thoracic surgery, and congenital surgery. CONCLUSIONS: Social media highlights of scholarly literature via TSSMN Twitter activity improves article Altmetric scores, Mendeley reads, and Twitter analytics, with dissemination to a greater audience. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01978256/full - - -Record #63 of 151 -ID: CN-02131965 -AU: Luc JGY -AU: Archer MA -AU: Arora RC -AU: Bender EM -AU: Blitz A -AU: Cooke DT -AU: Hlci TN -AU: Kidane B -AU: Ouzounian M -AU: Varghese TK -AU: et al. -TI: Does Tweeting Improve Citations? One-Year Results From the TSSMN Prospective Randomized Trial -SO: Annals of thoracic surgery -YR: 2021 -VL: 111 -NO: 1 -PG: 296‐300 -PM: PUBMED 32504611 -XR: EMBASE 632004182 -PT: Journal article -KY: *prospective study; Article; Bibliometrics; Controlled study; Follow up; Human; Periodicals as Topic; Prospective Studies; Publishing [*statistics & numerical data]; Quantitative analysis; Randomization; Randomized controlled trial; Social Media; Social media; Thoracic Surgery; Thorax surgery; Time Factors -DOI: 10.1016/j.athoracsur.2020.04.065 -AB: BACKGROUND: The Thoracic Surgery Social Media Network (TSSMN) is a collaborative effort of leading journals in cardiothoracic surgery to highlight publications via social media. This study aims to evaluate the 1‐year results of a prospective randomized social media trial to determine the effect of tweeting on subsequent citations and nontraditional bibliometrics. METHODS: A total of 112 representative original articles were randomized 1:1 to be tweeted via TSSMN or a control (non‐tweeted) group. Measured endpoints included citations at 1 year compared with baseline, as well as article‐level metrics (Altmetric score) and Twitter analytics. Independent predictors of citations were identified through univariable and multivariable regression analyses. RESULTS: When compared with control articles, tweeted articles achieved significantly greater increase in Altmetric scores (Tweeted 9.4 ± 5.8 vs Non‐tweeted 1.0 ± 1.8, P < .001), Altmetric score percentiles relative to articles of similar age from each respective journal (Tweeted 76.0 ± 9.1 percentile vs Non‐tweeted 13.8 ± 22.7 percentile, P < .001), with greater change in citations at 1 year (Tweeted +3.1 ± 2.4 vs Non‐Tweeted +0.7 ± 1.3, P < .001). Multivariable analysis showed that independent predictors of citations were randomization to tweeting (odds ratio [OR] 9.50; 95% confidence interval [CI] 3.30‐27.35, P < .001), Altmetric score (OR 1.32; 95% CI 1.15‐1.50, P < .001), open‐access status (OR 1.56; 95% CI 1.21‐1.78, P < .001), and exposure to a larger number of Twitter followers as quantified by impressions (OR 1.30, 95% CI 1.10‐1.49, P < .001). CONCLUSIONS: One‐year follow‐up of this TSSMN prospective randomized trial importantly demonstrates that tweeting results in significantly more article citations over time, highlighting the durable scholarly impact of social media activity. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02131965/full - - -Record #64 of 151 -ID: CN-01757008 -AU: Manriquez M J -AU: Valdivia C G -AU: Rada G G -AU: Letelier S LM -TI: Critical assessment of randomized controlled trials published in biomedical Chilean journals -SO: Revista medica de Chile -YR: 2005 -VL: 133 -NO: 4 -PG: 439‐446 -PM: PUBMED 15953951 -XR: EMBASE 43126738 -PT: Journal article -KY: *methodology; *publication; *randomized controlled trial; Article; Bibliometrics; Chile; Clinical trial; Controlled clinical trial; Evaluation study; Human; Humans; Periodicals as Topic; Randomized Controlled Trials as Topic [*standards, statistics & numerical data]; Research Design [*standards]; Standard; Statistics -DOI: 10.4067/s0034-98872005000400007 -AB: Background: Well designed clinical trials yield the strongest evidence for the effect of health care interventions. Aim: To assess the methodological quality of the design and report of randomized clinical trials in a sample, published in biomedical Chilean journals between 1980 and 2002. Material and methods: All trials identified by hand search by the Unit of Evaluation of Technologies in Health, were assessed for quality of randomization, blinding, analysis of results and other characteristics of trial design, along with the application of Jadad's Score, that assesses the methodological quality of clinical trials in a scale that ranges from 0 to 5. Results: Twenty eight trials were found and assessed, 75% (n=21) specified the method used for randomization, 29% (n=8) described a correct allocation concealment and 39% (n=11) were double blinded. Withdrawals and dropouts were correctly reported in 21% (n=6) of the articles, whereas intention to treat analysis was done only in one. Thirteen trials had a Jadad score equal or higher than 3 points. Conclusions: Several design deficiencies were found in the trials assessed. It is difficult to know if methodological weaknesses are due to incomplete reports or to methodologically poor designs. Adopting initiatives like the CONSORT can help improve the quality of randomized clinical trials published in Biomedical Chilean journals. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01757008/full - - -Record #65 of 151 -ID: CN-01739146 -AU: Bereczki D -AU: Gesztelyi G -TI: A Hungarian example for handsearching specialized national healthcare journals of small countries for controlled trials. Is it worth the trouble? -SO: Health libraries review -YR: 2000 -VL: 17 -NO: 3 -PG: 144‐147 -PM: PUBMED 11186806 -XR: EMBASE 31388539 -PT: Journal article -KY: *information retrieval; *publication; *randomized controlled trial; Article; Bibliometrics; Clinical trial; Controlled clinical trial; Human; Humans; Hungary; Information Storage and Retrieval [*methods]; Methodology; Neuroscience; Neurosciences; Periodicals as Topic; Randomized Controlled Trials as Topic -DOI: 10.1046/j.1365-2532.2000.00280.x -AB: The objective of this study was to determine whether a Hungarian language journal of clinical neuroscience, which is not indexed in MEDLINE, contains any reports of randomized or quasi‐randomized clinical trials that are not also reported in MEDLINE‐indexed publications. A cover‐to‐cover handsearch was performed of the journal Clinical Neuroscience/Ideggyógyászati Szemle, the official journal of Hungarian societies of neurology, neurosurgery, psychiatry and related clinical neurosciences, from its first volume in 1950 to the end of 1998; and a search of MEDLINE for other reports of the trials identified. Clinical trials in which patients were allocated to interventions by randomized, quasi‐randomized or possibly randomized means were identified. Controlled trials were tabulated and coded as randomized controlled trials or controlled clinical trials according to the definitions of the Handsearch Manual of the Cochrane Collaboration. We identified three randomized and eight quasi‐randomized trials. Six of the 11 trials were not reported in MEDLINE indexed publications. In conclusion, to obtain a comprehensive controlled trials register, specialized healthcare journals printed in small numbers in the national languages of small countries should be searched. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01739146/full - - -Record #66 of 151 -ID: CN-01718718 -AU: Watson R -TI: Intervention studies in JCN -SO: Journal of clinical nursing -YR: 2007 -VL: 16 -NO: 9 -PG: 1591‐1592 -PM: PUBMED 17727578 -XR: EMBASE 350310871 -PT: Journal article -KY: *bibliometrics; *methodology; *nursing research; *publication; Bibliometrics; Classification; Editorial; Human; Humans; Intervention study; Nursing Research [classification, *organization & administration]; Organization and management; Periodicals as Topic [*statistics & numerical data]; Placebo Effect; Placebo effect; Randomized Controlled Trials as Topic; Randomized controlled trial; Research Design [*statistics & numerical data]; Statistics -DOI: 10.1111/j.1365-2702.2007.01938.x -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01718718/full - - -Record #67 of 151 -ID: CN-02247389 -AU: Parikh A -AU: Markle J -AU: Venincasa M -AU: Kuriyan AE -AU: Gupta M -AU: Sridhar J -TI: POSITIVE RESULTS BIAS AND IMPACT FACTOR IN RETINA CLINICAL TRIALS 2016 to 2019 -SO: Retina (Philadelphia, Pa.) -YR: 2021 -VL: 41 -NO: 8 -PG: 1697‐1700 -PM: PUBMED 33438897 -XR: EMBASE 634000721 -PT: Journal article -KY: *journal impact factor; *randomized controlled trial (topic); *retina; Bias; Bibliometrics; Human; Humans; Journal Impact Factor; Publication Bias; Publishing; Randomized Controlled Trials as Topic; Retina; Retina disease /therapy; Retinal Diseases [*therapy]; Retrospective Studies; Retrospective study; Statistical bias -DOI: 10.1097/IAE.0000000000003107 -AB: PURPOSE: To assess for a positive results bias in recently published randomized controlled trials in the field of vitreoretinal disease. METHODS: A bibliometric analysis was conducted examining randomized controlled trials published in the field of retina between January 1, 2016, and December 31, 2019. Studies were classified as positive result or negative result based on the statistical significance of their primary outcome. Publication date and sample size were documented. These variables were compared against Journal Citation Reports Impact Factor in the year of publication. RESULTS: Two hundred and eighty‐eight randomized controlled trials from 64 unique journals were included and analyzed. One hundred and eighty‐five (64.2%) studies were classified as positive result, and 103 (35.8%) studies were classified as negative result. There was no association between impact factor and positive result. Studies classified as positive result had larger sample sizes, and higher sample size was associated with higher impact factor. CONCLUSION: These results do not support the presence of a recent positive results bias in retina randomized controlled trials. This is reassuring, although several factors could be contributing to this finding including studies that were conducted but never submitted and selective reporting of outcomes. Thus, it will be important to remain cognizant of potential publication biases moving forward. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02247389/full - - -Record #68 of 151 -ID: CN-02247127 -AU: Mitra AN -AU: Ananth CV -AU: Brandt JS -TI: 833 A bibliometric analysis of obstetrics and gynecology articles with the highest relative citation ratios, 1980-2019 -SO: American journal of obstetrics and gynecology -YR: 2021 -VL: 224 -NO: 2 -PG: S518‐S519 -XR: EMBASE 2010868098 -PT: Journal article; Conference proceeding -KY: *gynecology; *obstetrics; Conference abstract; Consensus; Controlled study; Human; Observational study; Randomized controlled trial; Risk assessment; Risk factor -DOI: 10.1016/j.ajog.2020.12.856 -AB: Objective: The relative citation ratio (RCR) is a novel bibliometric tool that quantifies the impact of research articles. The RCR is calculated by the number of citations that an article receives per year divided by an expected citation rate that is derived from performance of articles in the same field and benchmarked to a peer comparison group. The purpose of this study was to evaluate the OBGYN articles with the highest RCR and compare characteristics of these articles with articles that are top‐cited. Study Design: We performed a cross sectional bibliometric study looking at the OBGYN articles with the highest RCR in the NIH Open Citations Collection (1980‐2019). The 100 articles with the highest RCR and the 100 top‐cited articles were selected for further review. Each article was evaluated using metrics of influence and translation as well as other characteristics. We compared the top‐100 articles with highest RCR versus top‐cited articles after excluding articles featured on both lists. We calculated relative risks (95% confidence intervals). Results: A total of 323,673 OBGYN articles were identified. There were 60 articles in common between the highest RCR and top‐cited groups. The majority of articles with the highest RCR were observational studies, reviews, and consensus statements, and a minority were randomized controlled trials (RCTs). Articles with highest RCR received fewer absolute citations, but had higher numbers of citations per year. Articles with the highest RCR were more likely to address obstetrics topics, to be RCTs, and to be published open access. Comparison of article characteristics are described in the TABLE. Conclusion: Nearly half of the 100 articles with highest RCR would not have been recognized as citation classics by conventional bibliometric analysis. The RCR is a novel bibliometric tool that does not rely on absolute citation rates and provides important insights into research in OBGYN. [Formula presented] -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02247127/full - - -Record #69 of 151 -ID: CN-02818711 -AU: Govindasamy K -AU: Elayaraja M -AU: Abderrahman AB -AU: Parpa K -AU: Katanic B -AU: Granacher U -TI: The Effect of Leisure-Time Exercise on Mental Health Among Adults: a Bibliometric Analysis of Randomized Controlled Trials -SO: Healthcare (Basel, Switzerland) -YR: 2025 -VL: 13 -NO: 5 -PM: PUBMED 40077139 -PT: Journal article -DOI: 10.3390/healthcare13050575 -AB: Background: Adequate levels of leisure‐time exercise (LTE) are associated with mental health benefits. Despite increased research in recent years through randomized controlled trials (RCTs), a systematic literature review summarizing these findings is lacking. Here, we examined publication trends, impact, and research gaps regarding LTE's effects on mental health in the form of a bibliometric analysis. Methods: Five electronic databases (PubMed, EMBASE, Web of Science, Ovid Medline, and the Cumulative Index for Nursing and Allied Health Literature) were searched from their inception until 20 November 2024. Citations were independently screened by two authors and included based on pre‐determined eligibility criteria. Bibliometric analysis was conducted using SciVal and VOSviewer under five themes: (1) descriptive analysis, (2) network analysis, (3) thematic mapping, (4) co‐citation and co‐occurrence analysis, and (5) bibliometric coupling. Results: The systematic search identified 5792 citations, of which 78 RCTs met the inclusion criteria. Only one study was conducted in a low‐ or middle‐income country. Sixty‐four percent of studies were published in quartile‐one journals. Most studies were conducted in the United States, followed by Australia, Canada, and the United Kingdom. National collaborations yielded the highest citation rates, reflecting the influence of cultural and social norms on exercise and mental health. Research gaps were identified with regards to the validity of mental health measures, the paucity of data from low‐ and middle‐income countries, and emerging research sources. Conclusions: This bibliometric analysis highlights the existing evidence on LTE's impact on mental health and identifies areas for future research and policy. Trials exploring valid mental health outcomes, biomarkers such as mood and oxidative stress, and collaborative research are needed, particularly in underrepresented regions of the world. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02818711/full - - -Record #70 of 151 -ID: CN-01666644 -AU: McCullough JPA -AU: Lipman J -AU: Presneill JJ -TI: The Statistical Curriculum Within Randomized Controlled Trials in Critical Illness -SO: Critical care medicine -YR: 2018 -VL: 46 -NO: 12 -PG: 1985‐1990 -PM: PUBMED 30119072 -XR: EMBASE 625025454 -PT: Journal article -KY: *critical illness; *curriculum; Article; Bibliometrics; Chi square test; Clinical practice; Clinician; Contingency table; Controlled study; Critical Care; Curriculum; Data Interpretation, Statistical; Data extraction; Human; Humans; Intensive care; Nonparametric test; Outcome assessment; Publishing; Randomized Controlled Trials as Topic [*methods]; Randomized controlled trial -DOI: 10.1097/CCM.0000000000003380 -AB: OBJECTIVES: Incomplete biostatistical knowledge among clinicians is widely described. This study aimed to categorize and summarize the statistical methodology within recent critical care randomized controlled trials. DESIGN: Descriptive analysis, with comparison of findings to previous work. SETTING: Ten high‐impact clinical journals publishing trials in critical illness. SUBJECTS: Randomized controlled trials published between 2011 and 2015 inclusive. INTERVENTIONS: Data extraction from published reports. MEASUREMENTS AND MAIN RESULTS: The frequency and overall proportion of each statistical method encountered, grouped according to those used to generate each trial's primary outcome and separately according to underlying statistical methodology. Subsequent analysis compared these proportions with previously published reports. A total of 580 statistical tests or methods were identified within 116 original randomized controlled trials published between 2011 and 2015. Overall, the chi‐square test was the most commonly encountered (70/116; 60%), followed by the Cox proportional hazards model (63/116; 54%) and logistic regression (53/116; 46%). When classified according to underlying statistical assumptions, the most common types of analyses were tests of 2 × 2 contingency tables and nonparametric tests of rank order. A greater proportion of more complex methodology was observed compared with trial reports from previous work. CONCLUSIONS: Physicians assessing recent randomized controlled trials in critical illness encounter results derived from a substantial and potentially expanding range of biostatistical methods. In‐depth training in the assumptions and limitations of these current and emerging biostatistical methods may not be practically achievable for most clinicians, making accessible specialist biostatistical support an asset to evidence‐based clinical practice. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01666644/full - - -Record #71 of 151 -ID: CN-01725484 -AU: Patsopoulos NA -AU: Analatos AA -AU: Ioannidis JP -TI: Relative citation impact of various study designs in the health sciences -SO: JAMA -YR: 2005 -VL: 293 -NO: 19 -PG: 2362‐2366 -PM: PUBMED 15900006 -XR: EMBASE 40676758 -PT: Journal article -KY: *health science; Article; Bibliometrics; Biomedical Research; Case control study; Case report; Clinical trial; Cohort analysis; Controlled clinical trial; Cost effectiveness analysis; Decision making; Meta analysis; Priority journal; Publishing [*statistics & numerical data]; Randomized controlled trial; Research Design [*statistics & numerical data]; Systematic review -DOI: 10.1001/jama.293.19.2362 -AB: Context: The relative merits of various study designs and their placement in hierarchies of evidence are often discussed. However, there is limited knowledge about the relative citation impact of articles using various study designs. Objective: To determine whether the type of study design affects the rate of citation in subsequent articles. Design and Setting: We measured the citation impact of articles using various study designs ‐ including meta‐analyses, randomized controlled trials, cohort studies, case‐control studies, case reports, nonsystematic reviews, and decision analysis or cost‐effectiveness analysis ‐ published in 1991 and in 2001 for a sample of 2646 articles. Main Outcome Measure: The citation count through the end of the second year after the year of publication and the total received citations. Results: Meta‐analyses received more citations than any other study design both in 1991 (P<.05 for all comparisons) and in 2001 (P<.001 for all comparisons) and both in the first 2 years and in the longer term. More than 10 citations in the first 2 years were received by 32.4% of meta‐analyses published in 1991 and 43.6% of meta‐analyses published in 2001. Randomized controlled trials did not differ significantly from epidemiological studies and nonsystematic review articles in 1991 but clearly became the second‐cited study design in 2001. Epidemiological studies, nonsystematic review articles, and decision and cost‐effectiveness analyses had relatively similar impact; case reports received negligible citations. Meta‐analyses were cited significantly more often than all other designs after adjusting for year of publication, high journal impact factor, and country of origin. When limited to studies addressing treatment effects, meta‐analyses received more citations than randomized trials. Conclusion: Overall, the citation impact of various study designs is commensurate with most proposed hierarchies of evidence. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01725484/full - - -Record #72 of 151 -ID: CN-02588333 -AU: Rooney MK -AU: Sharifi B -AU: Ludmir EB -AU: Fuller CD -AU: Warner JL -TI: Factors Associated With Altmetric Attention Scores for Randomized Phase III Cancer Clinical Trials -SO: JCO clinical cancer informatics -YR: 2023 -VL: 7 -PG: e2300082 -PM: PUBMED 37552823 -PT: Journal article -KY: Bibliometrics; Humans; Journal Impact Factor; Neoplasms [diagnosis, therapy]; Social Media; United States -DOI: 10.1200/CCI.23.00082 -AB: PURPOSE: Altmetric Attention Scores (Altmetrics) are real‐time measures of scientific impact and attention through various public outlets, including news, blogs, and social media. Herein, we aimed to describe and characterize the relationship between Altmetrics, conventional impact metrics, and features of published cancer clinical trials. METHODS: We identified two‐arm phase III cancer randomized clinical trials with a superiority end point and publication date between 2015 and 2020 from HemOnc and tabulated the following data: Altmetric, study positivity, US Food and Drug Administration (FDA) registration trial status, cancer site/category, treatment context (curative or palliative), trial design, primary end point type, experimental/control arm modality, and journal tier. We further collected conventional bibliometrics including the number of citations and relative citation ratio (RCR) for all published studies. Multiple linear regression modeling identified clinical trial factors predictive of Altmetrics, with alpha = .05 defining statistical significance. RESULTS: Altmetrics were found for 681 (98%) of 698 publications, with a median score of 38.5 (IQR, 13‐132.8). FDA registration studies (β [95% CI], 84.7 [48.8 to 120.6]; P < .001), studies reporting on curative (as opposed to palliative) interventions (‐29 [‐53.7 to ‐4.4]; P = .02), genitourinary trials (73.2 [28.1 to 118.2]; P = .001), studies published in tier 1 journals (P < .001), and those with an increased number of citations per year (0.81 [0.66 to 0.95]; P < .001) were significantly associated with increased engagement as measured by Altmetrics. Furthermore, there was a strong correlation between all collected bibliometrics and Altmetrics (R2 = 0.63, 0.68, and 0.67; P < .001 for citation count, citations per year, and RCR, respectively). CONCLUSION: FDA registration trials describing curative interventions, studies published in traditionally defined high‐impact journals, and genitourinary trial publications tend to have the greatest Altmetrics. We observed a strong relationship between Altmetrics and conventional bibliometrics. The significance and consequences of these relationships warrant further investigation. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02588333/full - - -Record #73 of 151 -ID: CN-02143665 -AU: Steele L -AU: Livesey A -AU: Hong A -AU: Thomson J -AU: Flohr C -TI: Comparison of registered and published outcomes in randomized trials in dermatology journals: a cross-sectional analysis -SO: British journal of dermatology -YR: 2020 -VL: 183 -NO: 6 -PG: 1134‐1136 -PM: PUBMED 32652527 -XR: EMBASE 632328296 -PT: Journal article -KY: *Dermatology; *Periodicals as Topic; *cross‐sectional study; *dermatology; *outcome assessment; Bibliometrics; Controlled study; Cross‐Sectional Studies; Dredging; Editor; Human; Humans; Letter; Medical literature; Outcome reporting bias; Randomized Controlled Trials as Topic; Randomized controlled trial -DOI: 10.1111/bjd.19397 -AB: A potential source of bias in randomised controlled trial (RCTs) is selective outcome reporting bias, where outcomes for reporting are chosen based on the significance of their results.1 Significance can arise by chance when multiple tests are performed ("data dredging"). To avoid this problem, a main outcome (a "primary outcome") should be pre‐specified prior to data collection in a time‐stamped, publicly‐available trial registry. Prospective registration has been a prerequisite for publication amongst International Committee of Medical Journal Editors (ICMJE) member journals since 2005. However, even when trials are prospectively registered, selective outcome bias reporting can occur if the primary outcome reported in the manuscript does not match the pre‐specified primary outcome in the trial registry.2. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02143665/full - - -Record #74 of 151 -ID: CN-02143555 -AU: Slim K -AU: Mattevi C -AU: Badon F -AU: Lecomte C -AU: Selvy M -TI: The wave of "opinion articles" in the coverage of COVID-19 in surgical literature -SO: Langenbeck's archives of surgery / Deutsche Gesellschaft fur Chirurgie -YR: 2020 -VL: 405 -NO: 6 -PG: 877‐878 -PM: PUBMED 32676739 -XR: EMBASE 2005594449 -PT: Journal article -KY: *Betacoronavirus; *Bibliometrics; *Coronavirus Infections; *Data Accuracy; *Pandemics; *Pneumonia, Viral; *coronavirus disease 2019; Article; Attitude; COVID‐19; Controlled study; Editor; Human; Humans; Randomized controlled trial; SARS‐CoV‐2; Surgery -DOI: 10.1007/s00423-020-01932-w -AB: Introduction: The COVID‐19 pandemic is having a deep impact on our surgical practice and scientific publishing output. Methods: The 100 best‐ranked “surgery journals” were selected. The contents of the March, April, May, and June 2020 issues and ahead‐of‐print articles were screened. The retrieved articles on COVID‐19 were separated into two categories: “opinion articles” and “scientific articles,” i.e., randomized trials and original articles with structured methods and results. The number of COVID articles published in the TOP‐10 journals was compared with that of COVID articles published elsewhere. Results: There were 59 COVID original articles (8%). The great majority of articles were opinion articles (83.4%). Almost 40% of COVID articles were published in the TOP‐10 journals. Conclusion: Original COVID articles (the core of our knowledge) are scant. Faced with a novel disease, neither the authors nor the editors should be criticized regarding this situation. The future step should be to publish high‐quality papers in the setting of a major health crisis. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02143555/full - - -Record #75 of 151 -ID: CN-01727956 -AU: Rychetnik L -AU: Nutbeam D -AU: Hawe P -TI: Lessons from a review of publications in three health promotion journals from 1989 to 1994 -SO: Health education research -YR: 1997 -VL: 12 -NO: 4 -PG: 491‐504 -PM: PUBMED 10176374 -XR: EMBASE 28006028 -PT: Journal article -KY: *health promotion; *scientific literature; Article; Bibliometrics; Classification; Clinical trial; Controlled clinical trial; Health Promotion; Health Services Research; Health care quality; Health education; Humans; Information; Periodicals as Topic; Priority journal; Publishing; Randomized controlled trial; Research; Research Design -DOI: 10.1093/her/12.4.491 -AB: A thematic analysis was undertaken of 72 editorials in three leading health promotion journals, Health Education Research: Theory & Practice, Health Education Quarterly and Health Promotion International, from 1989 to 1994. The three main themes which emerged were (1) the need to broaden health promotion interventions, (2) the need to promote rigour and professionalism in the discipline of health promotion, and (3) the need to respond to the information requirements of practitioners. Against this context, we conducted a content analysis of the journals, examining the nature of the 649 peer‐reviewed publications in the same time period. Categories from the traditional bio‐medical 'stages of research' models had to be adapted before full classification of articles published was feasible. The largest number of articles published could be termed descriptive research, followed by studies developing and validating health promotion measurement tools and health promotion theory. The proportion of program evaluations was small and the proportion of randomized controlled trials ('highest quality evidence' of effectiveness) decreased over time. Dissemination studies were also poorly represented in spite of this being identified in editorials as an important professional need. Ways to redress some of the imbalances observed are discussed. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01727956/full - - -Record #76 of 151 -ID: CN-01776192 -AU: Almerie MQ -AU: Matar HE -AU: Jones V -AU: Kumar A -AU: Wright J -AU: Wlostowska E -AU: Adams CE -TI: Searching the polish medical bibliography (polska bibliografia lekarska) for trials -SO: Health information and libraries journal -YR: 2007 -VL: 24 -NO: 4 -PG: 283‐286 -PM: PUBMED 18005303 -XR: EMBASE 350115804 -PT: Journal article -KY: *bibliographic database; *information retrieval; *medical informatics; *randomized controlled trial; Article; Bibliometrics; Databases, Bibliographic; Human; Humans; Information Storage and Retrieval; Medical Informatics; Poland; Priority journal; Randomized Controlled Trials as Topic; Utilization review -DOI: 10.1111/j.1471-1842.2007.00716.x -AB: BACKGROUND: The Polish Medical Bibliography (Polska Bibliografia Lekarska) contains 350 000 records dating from 1979. These records from the fields of medicine, nursing, dentistry, health care systems and preclinical sciences are from nearly 300 biomedical journals published in Poland. METHODS: We systematically searched the Polish Medical Bibliography Part II (1996‐2006) CD‐ROM (July 2006) using both English and Polish phrases for randomized trials, manually checked results and, for the trials identified in this way, sought these on medline and embase. RESULTS: Systematic searching identified records of 680 randomized trials from all areas of health care. Nearly 40% of these were not found on either medline or embase. CONCLUSIONS: The Polish Medical Bibliography should be of interest to health care information specialists concerned with comprehensive searches for trials. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01776192/full - - -Record #77 of 151 -ID: CN-01721989 -AU: Ewart R -AU: Lausen H -AU: Millian N -TI: Undisclosed changes in outcomes in randomized controlled trials: an observational study -SO: Annals of family medicine -YR: 2009 -VL: 7 -NO: 6 -PG: 542‐546 -PM: PUBMED 19901314 -XR: EMBASE 355763878 -PT: Journal article -KY: *Disclosure; *Publishing; *Randomized Controlled Trials as Topic; *outcomes research; *randomized controlled trial; Article; Bibliometrics; Clinical research; Cross‐sectional study; Endpoint Determination; Medical literature; Observational study; Publication; Registration; Registries; Retrospective study -DOI: 10.1370/afm.1017 -AB: PURPOSE: We wanted to investigate the frequency of undisclosed changes in the outcomes of randomized controlled trials (RCTs) between trial registration and publication. METHODS: Using a retrospective, nonrandom, cross‐sectional study design, we investigated RCTs published in consecutive issues of 5 major medical journals during a 6‐month period and their associated trials registry entries. Articles were excluded if they did not have an available trial registry entry, did not have analyzable outcomes, or were secondary publications. The primary outcome was the proportion of publications in which the primary outcome of the trial was, without disclosure, changed between that recorded in the trial registry and that reported in the final publication. The secondary outcome was the proportion of publications in which the secondary outcome was changed without disclosure. RESULTS: We reviewed 158 reports of RCTs and included 110 in the analysis. In 34 (31%), a primary outcome had been changed, and in 77 (70%), a secondary outcome had been changed. CONCLUSIONS: There are substantial and important undisclosed changes made to the outcomes of published RCTs between trial registration and publication. This finding has important implications for the interpretation of trial results. Disclosure and discussion of changes would improve transparency in the performance and reporting of trials. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01721989/full - - -Record #78 of 151 -ID: CN-01754169 -AU: Azar M -AU: Riehm KE -AU: McKay D -AU: Thombs BD -TI: Transparency of outcome reporting and trial registration of randomized controlled trials published in the journal of consulting and clinical psychology -SO: PloS one -YR: 2015 -VL: 10 -NO: 11 -PG: e0142894 -PM: PUBMED 26581079 -XR: EMBASE 608121424 -PT: Journal article -KY: *Bibliometrics; *Psychology, Clinical; *Randomized Controlled Trials as Topic; *clinical psychology; *registration; Attention; Behavioral medicine; Case report; Controlled clinical trial; Controlled study; Guidelines as Topic; Human; Humans; Intervention study; Outcome variable; Peer Review, Research; Practice guideline; Randomized controlled trial; Societies, Scientific -DOI: 10.1371/journal.pone.0142894 -AB: Background Confidence that randomized controlled trial (RCT) results accurately reflect intervention effectiveness depends on proper trial conduct and the accuracy and completeness of published trial reports. The Journal of Consulting and Clinical Psychology (JCCP) is the primary trials journal amongst American Psychological Association (APA) journals. The objectives of this study were to review RCTs recently published in JCCP to evaluate (1) adequacy of primary outcome analysis definitions; (2) registration status; and, (3) among registered trials, adequacy of outcome registrations. Additionally, we compared results from JCCP to findings from a recent study of top psychosomatic and behavioral medicine journals. Methods Eligible RCTs were published in JCCP in 2013‐2014. For each RCT, two investigators independently extracted data on (1) adequacy of outcome analysis definitions in the published report, (2) whether the RCT was registered prior to enrolling patients, and (3) adequacy of outcome registration. Results Of 70 RCTs reviewed, 12 (17.1%) adequately defined primary or secondary outcome analyses, whereas 58 (82.3%) had multiple primary outcome analyses without statistical adjustment or undefined outcome analyses. There were 39 (55.7%) registered trials. Only two trials registered prior to patient enrollment with a single primary outcome variable and time point of assessment. However, in one of the two trials, registered and published outcomes were discrepant. No studies were adequately registered as per Standard Protocol Items: Recommendation for Interventional Trials guidelines. Compared to psychosomatic and behavioral medicine journals, the proportion of published trials with adequate outcome analysis declarations was significantly lower in JCCP (17.1% versus 32.9%; p = 0.029). The proportion of registered trials in JCCP (55.7%) was comparable to behavioral medicine journals (52.6%; p = 0.709). Conclusions The quality of published outcome analysis definitions and trial registrations in JCCP is suboptimal. Greater attention to proper trial registration and outcome analysis definition in published reports is needed. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01754169/full - - -Record #79 of 151 -ID: CN-01763058 -AU: Rahman M -AU: Fukui T -TI: Geography of randomized controlled trials in general internal medicine: is the United States' share declining? -SO: American journal of medicine -YR: 2003 -VL: 114 -NO: 6 -PG: 510‐511 -PM: PUBMED 12727588 -XR: EMBASE 36515118 -PT: Journal article -KY: *clinical research; *internal medicine; *randomized controlled trial; Bibliometrics; Clinical trial; Controlled clinical trial; Financial management; General practice; Geographic distribution; Humans; Internal Medicine [*trends]; Letter; Medical literature; Medline; Nonparametric test; Priority journal; Publication; Randomized Controlled Trials as Topic [*trends]; Statistical significance; United States -DOI: 10.1016/S0002-9343(03)00062-7 -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01763058/full - - -Record #80 of 151 -ID: CN-02076734 -AU: Murray DM -AU: Taljaard M -AU: Turner EL -AU: George SM -TI: Essential Ingredients and Innovations in the Design and Analysis of Group-Randomized Trials -SO: Annual review of public health -YR: 2020 -VL: 41 -PG: 1‐19 -PM: PUBMED 31869281 -XR: EMBASE 630414838 -PT: Journal article -KY: Article; Bibliometrics; Controlled study; Group therapy; Human; Humans; Medical research; National Institutes of Health (U.S.); National health organization; Randomized Controlled Trials as Topic [*methods]; Randomized controlled trial; Research Design; United States -DOI: 10.1146/annurev-publhealth-040119-094027 -AB: This article reviews the essential ingredients and innovations in the design and analysis of group‐randomized trials. The methods literature for these trials has grown steadily since they were introduced to the biomedical research community in the late 1970s, and we summarize those developments. We review, in addition to the group‐randomized trial, methods for two closely related designs, the individually randomized group treatment trial and the stepped‐wedge group‐randomized trial. After describing the essential ingredients for these designs, we review the most important developments in the evolution of their methods using a new bibliometric tool developed at the National Institutes of Health. We then discuss the questions to be considered when selecting from among these designs or selecting the traditional randomized controlled trial. We close with a review of current methods for the analysis of data from these designs, a case study to illustrate each design, and a brief summary. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02076734/full - - -Record #81 of 151 -ID: CN-00890480 -AU: Altman DG -TI: Endorsement of the CONSORT statement by high impact medical journals: survey of instructions for authors -SO: BMJ (Clinical research ed.) -YR: 2005 -VL: 330 -NO: 7499 -PG: 1056‐1057 -PM: PUBMED 15879389 -XR: EMBASE 40646557 -PT: Journal article -KY: *medical literature; Article; Authorship; Bibliometrics; Clinical trial; Controlled clinical trial; Data base; Electronics; Guidelines as Topic; Methodology; Periodicals as Topic [*standards]; Practice guideline; Priority journal; Publication; Randomized Controlled Trials as Topic [methods, *standards]; Randomized controlled trial -DOI: 10.1136/bmj.330.7499.1056 -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-00890480/full - - -Record #82 of 151 -ID: CN-01753384 -AU: Nieri M -AU: Clauser C -AU: Franceschi D -AU: Pagliaro U -AU: Saletta D -AU: Pini-Prato G -TI: Randomized clinical trials in implant therapy: relationships among methodological, statistical, clinical, paratextual features and number of citations -SO: Clinical oral implants research -YR: 2007 -VL: 18 -NO: 4 -PG: 419‐431 -PM: PUBMED 17517060 -XR: EMBASE 47152711 -PT: Journal article -KY: *bibliometrics; *dental research; *randomized controlled trial; *tooth implantation; Algorithm; Algorithms; Article; Bayes Theorem; Bayes theorem; Bibliometrics; Data Interpretation, Statistical; Dental Implantation, Endosseous; Dental Implants; Dental Research [*methods]; Evaluation study; Human; Humans; Linear Models; Methodology; Observer Variation; Observer variation; Publishing; Randomized Controlled Trials as Topic [*methods]; Research Design; Statistical analysis; Statistical model -DOI: 10.1111/j.1600-0501.2007.01350.x -AB: OBJECTIVES: The aim of the present study was to investigate the relationships among reported methodological, statistical, clinical and paratextual variables of randomized clinical trials (RCTs) in implant therapy, and their influence on subsequent research. MATERIALS AND METHODS: The material consisted of the RCTs in implant therapy published through the end of the year 2000. Methodological, statistical, clinical and paratextual features of the articles were assessed and recorded. The perceived clinical relevance was subjectively evaluated by an experienced clinician on anonymous abstracts. The impact on research was measured by the number of citations found in the Science Citation Index. A new statistical technique (Structural learning of Bayesian Networks) was used to assess the relationships among the considered variables. RESULTS: Descriptive statistics revealed that the reported methodology and statistics of RCTs in implant therapy were defective. Follow‐up of the studies was generally short. The perceived clinical relevance appeared to be associated with the objectives of the studies and with the number of published images in the original articles. The impact on research was related to the nationality of the involved institutions and to the number of published images. CONCLUSIONS: RCTs in implant therapy (until 2000) show important methodological and statistical flaws and may not be appropriate for guiding clinicians in their practice. The methodological and statistical quality of the studies did not appear to affect their impact on practice and research. Bayesian Networks suggest new and unexpected relationships among the methodological, statistical, clinical and paratextual features of RCTs. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01753384/full - - -Record #83 of 151 -ID: CN-01776672 -AU: Lui S -AU: Smith EJ -AU: Terplan M -TI: Heterogeneity in search strategies among Cochrane acupuncture reviews: is there room for improvement? -SO: Acupuncture in medicine -YR: 2010 -VL: 28 -NO: 3 -CC: Complementary Medicine -PG: 149‐153 -PM: PUBMED 20615852 -XR: EMBASE 359890606 -PT: Journal article -KY: *acupuncture; *bibliographic database; *bibliometrics; *evidence based medicine; *information retrieval; *literature; Acupuncture Therapy [standards]; Article; Bibliometrics; Databases, Bibliographic [standards]; Evidence‐Based Medicine; Human; Humans; Information Storage and Retrieval [*methods, standards]; Language; Meta analysis; Meta‐Analysis as Topic; Methodology; Peer Review; Peer review; Randomized Controlled Trials as Topic; Randomized controlled trial; Research Design; Review Literature as Topic; Standard -DOI: 10.1136/aim.2010.002444 -AB: OBJECTIVE: Given the international focus and rigorous literature searches employed in Cochrane systematic reviews, this study was undertaken to evaluate strategies employed in Cochrane reviews and protocols assessing acupuncture as a primary or secondary intervention. METHODS: The Cochrane Collaboration of systematic reviews was searched in February 2009 for all reviews and protocols including information on acupuncture. Information was abstracted from all retrieved articles on review status, type and number of English and Chinese language databases searched, participation of at least one Chinese speaking author and language restriction. Frequencies were calculated and bivariate analyses were performed stratifying on interventions of interest to assess differences in search strategy techniques, language restrictions and results. RESULTS: The search retrieved 68 titles, including 48 completed reviews, 17 protocols and three previously withdrawn titles. Acupuncture was the primary intervention of interest in 44/65 (67.7%) of the retrieved reviews and protocols. While all articles searched at least one English language database, only 26/65 (40.0%) articles searched Chinese language databases. Significantly more articles where acupuncture was the primary intervention of interest searched Chinese language databases (53% vs 9%, p<0.01). Inconclusive findings as to the effectiveness of acupuncture were found in 28/48 (58.3%) of all completed reviews; this type of finding was more common in reviews which did not search any Chinese language databases. CONCLUSIONS: It is important for reviews assessing the effectiveness of acupuncture to search Chinese language databases. The Cochrane Collaboration should develop specific criteria for Chinese language search strategies to ensure the continued publication of high‐quality reviews. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01776672/full - - -Record #84 of 151 -ID: CN-01725964 -AU: Mao B -AU: Wang G -AU: Fan T -TI: Change and trend of disease spectrum in randomized controlled trials of traditional Chinese medicine -SO: Zhongguo zhong xi yi jie he za zhi zhongguo zhongxiyi jiehe zazhi = chinese journal of integrated traditional and western medicine -YR: 2007 -VL: 27 -NO: 5 -PG: 404‐408 -PM: PUBMED 17650791 -XR: EMBASE 350354609 -PT: Journal article -KY: *Chinese medicine; *phytotherapy; *randomized controlled trial; Article; Bibliometrics; Cardiovascular Diseases [drug therapy]; Cardiovascular disease /drug therapy; Drugs, Chinese Herbal [*therapeutic use]; Evidence based medicine; Evidence‐Based Medicine; Human; Humans; Medicine, Chinese Traditional [*methods]; Methodology; Neoplasm /drug therapy; Neoplasms [drug therapy]; Periodicals as Topic [standards]; Phytotherapy; Publication; Randomized Controlled Trials as Topic; Standard -AB: OBJECTIVE: To investigate the spectral changes of diseases with the treatment of traditional Chinese medicine (TCM), and to find out the advantages of TCM. METHODS: A manual search for papers of randomized controlled trials (RCTs) in 13 core journals of TCM and integrated Chinese and Western medicine (ICWM) published from 1999 to 2004 were performed to create a database of RCTs. Depending on the database, the diseases involved were classified systematically. Among them, the common diseases were analyzed, and the disease spectrum was compared with that gotten from the RCTs database founded from 1980 ‐ 1998. RESULTS: Most of the total 7 422 articles on RCTs enclosed were concerning the diseases of digestive system (14.93%), cardiovascular system (11.33%), nervous system (10.01%), and respiratory system (8.68%), and mostly were studies on cerebrovascular accident, diabetes mellitus, coronary heart disease (CHD) and chronic obstructive pulmonary disease, accounting for 5.01%, 4.86%, 3.17% and 2.57%, respectively. As compared with the previous materials, the constituent ratios of nervous system disease, endocrine metabolic disease, tumor, and gynopathy from 1999 to 2004 were raised (all P <0.05), while those of digestive and respiratory system diseases were lowered (both P < 0.05). CONCLUSION: Researchers of TCM and ICWM pay more attention to the clinical studies about prevention and treatment with TCM on cerebro‐/cardiovascular disease, endocrine metabolic disease and malignant tumor. TCM possesses advantages in treating chronic disease, preventing disease, emphasizing on wholism and is economic with fewer adverse reactions. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01725964/full - - -Record #85 of 151 -ID: CN-01773447 -AU: Mistiaen P -AU: Poot E -AU: Hickox S -AU: Wagner C -TI: The evidence for nursing interventions in the Cochrane Database of Systematic Reviews -SO: Nurse researcher -YR: 2004 -VL: 12 -NO: 2 -PG: 71‐80 -PM: PUBMED 15636007 -XR: EMBASE 40257614 -PT: Journal article -KY: *bibliographic database; *literature; *nursing research; Article; Bibliometrics; Clinical trial; Controlled clinical trial; Databases, Bibliographic [*standards]; Evidence based medicine; Evidence‐Based Medicine; Human; Humans; Information Services [standards]; Information service; Methodology; Nursing Research [*organization & administration]; Organization and management; Practice Guidelines as Topic; Practice guideline; Randomized Controlled Trials as Topic [standards]; Randomized controlled trial; Research Design [standards]; Review Literature as Topic; Standard -AB: In this paper, Patriek Mistiaen, Else Poot, Sophie Hickox, and Cordula Wagner describe how they conducted a search of the Cochrane Database of Systematic Reviews in order to explore the evidence for nursing interventions. They identify the number of studies, the number of participants, and the conclusions of systematic reviews concerning nursing interventions. They conclude that the Cochrane Database of Systematic Reviews is a valuable source of evidence about nursing interventions, and can be used as a means of developing a research agenda in the case of inconclusive reviews. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01773447/full - - -Record #86 of 151 -ID: CN-01746627 -AU: Sandercock P -AU: Fraser H -AU: Thomas B -AU: McInnes A -AU: Dixon S -TI: Cochrane Stroke Group 10 years on: progress to date and future challenges -SO: Stroke -YR: 2003 -VL: 34 -NO: 10 -PG: 2537‐2539 -PM: PUBMED 14500941 -XR: EMBASE 37349596 -PT: Journal article -KY: *cerebrovascular accident /diagnosis /therapy; *cooperation; *factual database; Article; Bibliometrics; Biomedical Research; Clinical trial; Controlled Clinical Trials as Topic [statistics & numerical data, trends]; Controlled clinical trial; Cooperative Behavior; Databases, Factual [*statistics & numerical data, trends]; Guidelines as Topic; Human; Humans; International Cooperation; International cooperation; Literature; Medical research; Practice guideline; Randomized Controlled Trials as Topic [statistics & numerical data, trends]; Randomized controlled trial; Register; Registries [statistics & numerical data]; Review Literature as Topic; Statistics; Stroke [*diagnosis, *therapy] -DOI: 10.1161/01.STR.0000089016.77502.59 -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01746627/full - - -Record #87 of 151 -ID: CN-01730071 -AU: Li N -AU: Xie ZF -TI: Preliminary analysis on the method of efficacy evaluation used in clinical articles issued in Chinese journal of integrated traditional and Western medicine -SO: Zhongguo zhong xi yi jie he za zhi zhongguo zhongxiyi jiehe zazhi = chinese journal of integrated traditional and western medicine -YR: 2004 -VL: 24 -NO: 1 -PG: 72‐74 -PM: PUBMED 14976898 -XR: EMBASE 38894107 -PT: Journal article -KY: *Chinese medicine; *bibliometrics; *phytotherapy; Article; Bibliometrics; Clinical trial; Controlled clinical trial; Double blind procedure; Double‐Blind Method; Drugs, Chinese Herbal [*therapeutic use]; Evaluation Studies as Topic; Evaluation study; Human; Humans; Medicine, Chinese Traditional; Methodology; Periodicals as Topic; Phytotherapy; Publication; Randomized Controlled Trials as Topic [methods]; Randomized controlled trial -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01730071/full - - -Record #88 of 151 -ID: CN-02361346 -AU: Murray DM -TI: Influential methods reports for group-randomized trials and related designs -SO: Clinical trials (London, England) -YR: 2022 -VL: 19 -NO: 4 -PG: 353‐362 -PM: PUBMED 34991379 -XR: EMBASE 2014685939 -PT: Journal article -KY: *Research Design; *Research Report; *group therapy; Analytic method; Article; Attention; Bibliometrics; Calculation; Controlled study; Data Collection; Human; Humans; Implementation science; Medline; National health organization; Randomized Controlled Trials as Topic; Randomized controlled trial (topic); Sample Size; Sample size; Systematic review -DOI: 10.1177/17407745211063423 -AB: Background. This article identifies the most influential methods reports for group‐randomized trials and related designs published through 2020. Many interventions are delivered to participants in real or virtual groups or in groups defined by a shared interventionist so that there is an expectation for positive correlation among observations taken on participants in the same group. These interventions are typically evaluated using a group‐ or cluster‐randomized trial, an individually randomized group treatment trial, or a stepped wedge group‐ or cluster‐randomized trial. These trials face methodological issues beyond those encountered in the more familiar individually randomized controlled trial. Methods. PubMed was searched to identify candidate methods reports; that search was supplemented by reports known to the author. Candidate reports were reviewed by the author to include only those focused on the designs of interest. Citation counts and the relative citation ratio, a new bibliometric tool developed at the National Institutes of Health, were used to identify influential reports. The relative citation ratio measures influence at the article level by comparing the citation rate of the reference article to the citation rates of the articles cited by other articles that also cite the reference article. Results. In total, 1043 reports were identified that were published through 2020. However, 55 were deemed to be the most influential based on their relative citation ratio or their citation count using criteria specific to each of the three designs, with 32 group‐randomized trial reports, 7 individually randomized group treatment trial reports, and 16 stepped wedge group‐randomized trial reports. Many of the influential reports were early publications that drew attention to the issues that distinguish these designs from the more familiar individually randomized controlled trial. Others were textbooks that covered a wide range of issues for these designs. Others were “first reports” on analytic methods appropriate for a specific type of data (e.g. binary data, ordinal data), for features commonly encountered in these studies (e.g. unequal cluster size, attrition), or for important variations in study design (e.g. repeated measures, cohort versus cross‐section). Many presented methods for sample size calculations. Others described how these designs could be applied to a new area (e.g. dissemination and implementation research). Among the reports with the highest relative citation ratios were the CONSORT statements for each design. Conclusions. Collectively, the influential reports address topics of great interest to investigators who might consider using one of these designs and need guidance on selecting the most appropriate design for their research question and on the best methods for design, analysis, and sample size. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02361346/full - - -Record #89 of 151 -ID: CN-01765189 -AU: Scholes J -TI: Research in Nursing in Critical Care 1995-2009: a cause for celebration -SO: Nursing in critical care -YR: 2010 -VL: 15 -NO: 1 -PG: 20‐25 -PM: PUBMED 20070811 -XR: EMBASE 358572232 -PT: Journal article -KY: *bibliometrics; *intensive care; *methodology; *nursing discipline; *nursing research; *publication; Article; Authorship; Bibliometrics; Critical Care [trends]; Ethics; Human; Humans; Literature; Nursing Research [*trends]; Periodicals as Topic [ethics, *trends]; Publishing; Publishing [ethics, trends]; Qualitative Research; Qualitative research; Randomized Controlled Trials as Topic [trends]; Randomized controlled trial; Research Design [*trends]; Review Literature as Topic; Specialties, Nursing [trends]; United Kingdom; Writing -DOI: 10.1111/j.1478-5153.2009.00377.x -AB: AIM: The purpose of this article is to analyse the research papers published in Nursing in Critical Care (n = 168) over the past 15 years to examine trends in methodology, theoretical contribution and authorship. BACKGROUND: Research is a contested term and the paper starts with defining the criteria by which papers were selected for the review. METHODS: The approach undertaken was a documentary review based on an adaptation of Schatzman's dimensional analysis. Papers were loaded into a matrix then categorized and grouped to determine trends and frequency. CONCLUSION: Research papers published in the journal reflect a wide range of interests and broad spread of research methods. Qualitative and quantitative data are used by authors but to distinguish papers into these two categories would be over simplistic. Systematic reviews along with randomized control trials and studies using a quasi‐experimental design are the least frequently occurring approaches in the published papers, although they are growing in number in recent years. All the papers make explicit the implications for clinical practice and as such contribute to the growing body of knowledge to inform critical care nursing practice. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01765189/full - - -Record #90 of 151 -ID: CN-02635632 -AU: Hawk LW -AU: Murphy TF -AU: Hartmann KE -AU: Burnett A -AU: Maguin E -TI: A randomized controlled trial of a team science intervention to enhance collaboration readiness and behavior among early career scholars in the Clinical and Translational Science Award network -SO: Journal of clinical and translational science -YR: 2024 -VL: 8 -NO: 1 -XR: EMBASE 2029123145 -PT: Journal article -KY: *career; Adult; Article; Benchmarking; Bibliometrics; Controlled study; Follow up; Human; Intention to treat analysis; Male; Randomized controlled trial; Therapy; Translational science -DOI: 10.1017/cts.2023.692 -AB: Introduction: Despite the central importance of cross‐disciplinary collaboration in the Clinical and Translational Science Award (CTSA) network and the implementation of various programs designed to enhance collaboration, rigorous evidence for the efficacy of these approaches is lacking. We conducted a novel randomized controlled trial (RCT; ClinicalTrials.gov identifier: NCT05395286) of a promising approach to enhance collaboration readiness and behavior among 95 early career scholars from throughout the CTSA network. Methods: Participants were randomly assigned (within two cohorts) to participate in an Innovation Lab, a week‐long immersive collaboration experience, or to a treatment‐as‐usual control group. Primary outcomes were change in metrics of self‐reported collaboration readiness (through 12‐month follow‐up) and objective collaboration network size from bibliometrics (through 21 months); secondary outcomes included self‐reported number of grants submitted and, among Innovation Lab participants only, reactions to the Lab experience (through 12 months). Results: Short‐term reactions from Innovation Lab participants were quite positive, and controlled evidence for a beneficial impact of Innovation Labs over the control condition was observed in the self‐reported number of grant proposals in the intent‐to‐treat sample. Primary measures of collaboration readiness were near ceiling in both groups, limiting the ability to detect enhancement. Collaboration network size increased over time to a comparable degree in both groups. Conclusions: The findings highlight the need for systematic intervention development research to identify efficacious strategies that can be implemented throughout the CTSA network to better support the goal of enhanced cross‐disciplinary collaboration. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02635632/full - - -Record #91 of 151 -ID: CN-01977849 -AU: Sebo P -AU: Fournier JP -AU: Maisonneuve H -TI: Is statistician involvement as co-author associated with reduced time to publication of quantitative research in general medical journals? A bibliometric study -SO: Family practice -YR: 2019 -VL: 36 -NO: 4 -PG: 431‐436 -PM: PUBMED 30476030 -XR: EMBASE 628973946 -PT: Journal article -KY: *publication; *retrospective study; *statistician; *velocity; Article; Authorship; Bibliometrics; Biomedical Research [*trends]; Controlled study; Human; Human experiment; Humans; Internal Medicine; Internal medicine; Periodicals as Topic; Primary medical care; Qualitative Research; Qualitative research; Questionnaire; Randomized controlled trial; Retrospective Studies; Statistical significance; Statistics as Topic; Time Factors -DOI: 10.1093/fampra/cmy115 -AB: OBJECTIVE: We aimed to compare the number of submissions until acceptance and the time to publication between articles co‐authored and articles not co‐authored by statisticians. METHODS: We randomly selected 781 articles published in 2016 in 18 high impact factor journals of general internal medicine and primary care. For each article, we retrieved its date of submission to the journal and its first publication; we also contacted its corresponding author and asked about the number of submissions necessary from the first submission to a journal until acceptance and whether the article was co‐authored by a statistician. After having excluded qualitative studies, we compared the articles co‐authored with those not co‐authored by statisticians in terms of number of submissions and submission‐to‐publication time, using negative binomial and Cox regressions, adjusted for intracluster correlations. RESULTS: One hundred fifty‐eight authors completed the questionnaire (20%); 136 articles with quantitative design were included in the study. Overall, 63 articles (46%) were co‐authored by statisticians. There was no statistically significant difference in the number of submissions (statistician group: mean 2.1 (SD 1.1) versus 2.2 (SD 1.2), P value 0.87). By contrast, we found a statistically significant difference in the submission‐to‐publication time (statistician group: median 211 days [interquartile range (IQR) 171] versus 260 (IQR 144); hazard ratio 1.44 (95% CI 1.01‐2.03), adjusted P value 0.04). CONCLUSIONS: Papers co‐authored by statisticians have a shorter time to publication. We encourage researchers to closely involve statisticians in the design, conduct and statistical analysis of research, not only to ensure high standards of quality but also to speed up its publication. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01977849/full - - -Record #92 of 151 -ID: CN-02636338 -AU: Ang L -AU: Song E -AU: Lee MS -TI: Randomized controlled trials of traditional, complementary, and integrative medicine-based interventions for coronavirus disease 2019 (COVID-19): a bibliometric analysis and review of study designs -SO: Integrative medicine research -YR: 2021 -VL: 10 -NO: Suppl -PG: 100777 -PM: PUBMED 34580628 -PT: Journal article -DOI: 10.1016/j.imr.2021.100777 -AB: BACKGROUND: To date, the coronavirus disease 2019 (COVID‐19) pandemic remains ongoing and continues to affect millions of people worldwide. In the effort of fighting this pandemic, there has been an increasing interest in the potential of traditional, complementary, and integrative medicines (TCIMs) in engaging COVID‐19. This study presents a bibliometric analysis of the research trends of TCIMs for COVID‐19. METHODS: Six databases were searched on July 15, 2021, to retrieve all the citations on TCIM‐focused randomized controlled trials (RCTs) available on COVID‐19. Only RCTs that mentioned at least one TCIMs for the treatment and/or management or COVID‐19 were eligible. Data such as number and countries of trials conducted, publication journal, research focus, study design, and sample size were extracted for analysis. RESULTS: The resulting 56 articles were authored by 553 unique authors, and included 28 English articles, 19 Chinese articles with English abstracts, and 9 Chinese articles without English abstract. Analyses had shown that China was the dominant country with TCIM related RCT publications, followed by India and the United States. The included articles were published across 24 English journals and 22 Chinese journals with a wide range of impact factors from 0.220 to 56.272. The most commonly studied TCIM modalities included Chinese herbal decoction (n=12) and Chinese patent medicine (n=16). In terms of study designs, TCIM interventions were integrated with standard medicine across the trials with most trials having a small to medium sample size and open‐labeled. CONCLUSION: This bibliometric analysis of RCTs demonstrated the research trends and characteristics of TCIM utilized in COVID‐19 research. Although there are still many research gaps and limitations for pandemic research, the publication of TCIM‐focused RCTs is anticipated to show a continuously increasing trend. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02636338/full - - -Record #93 of 151 -ID: CN-02142481 -AU: Noguchi Y -AU: Kaneko M -AU: Narukawa M -TI: Characteristics of Drug Intervention Clinical Trials and Scientific Impact of the Trial Outcome: a Bibliometric Analysis Using the Relative Citation Ratio in Non-small Cell Lung Cancer from 2007 to 2016 -SO: Therapeutic innovation & regulatory science -YR: 2020 -VL: 54 -NO: 6 -PG: 1501‐1511 -PM: PUBMED 32529630 -XR: EMBASE 2005221052 -PT: Journal article -KY: *evidence based medicine; *non small cell lung cancer; Adult; Article; Bibliometrics; Cancer chemotherapy; Carcinoma, Non‐Small‐Cell Lung [drug therapy]; Controlled study; Female; Human; Humans; Lung Neoplasms [drug therapy]; Male; National health organization; Pharmaceutical Preparations; Phase 3 clinical trial; Profit; Protein Kinase Inhibitors; Randomized controlled trial; Single blind procedure; United States -DOI: 10.1007/s43441-020-00177-5 -AB: Background: Although a large number of clinical trials have been conducted, the types of clinical trials that are scientifically influential, frequently utilized by society, and contribute to the progress of evidence‐based medicine (EBM) have not been studied. Thus, we aimed to investigate the relationship between the characteristics of clinical trials and the scientific impact of the outcome in non‐small cell lung cancer (NSCLC) by performing a bibliometric analysis using relative citation ratio (RCR), a newly developed bibliometric index by the National Institutes of Health (NIH). Methods: Primary publications of drug intervention clinical trials for NSCLC between 2007 and 2016 were included in the study. The characteristics of clinical trials were compared among four RCR categories with 50 trials in each [LOW50, 50 NIH percentile (50NIH%ile), 95 NIH percentile (95NIH%ile), and TOP50], totaling to 200 trials. Results: Median RCRs of LOW50, 50NIH%ile, 95NIH%ile, and TOP50 were 0.03, 1.00, 5.76, and 26.89, respectively. Publications of Phase 3, randomized, blinded, for‐profit‐company supported/sponsored, multi‐center trials, and trials with a larger number of subjects were shown to have a higher scientific impact. Publications of clinical trials of newly developed molecular target drugs, including epidermal growth factor receptor‐tyrosine kinase inhibitors, anaplastic lymphoma kinase inhibitors, and immune checkpoint inhibitors demonstrated a higher scientific impact than those of traditional chemotherapies. Conclusion: Clinical trials designed to have a high evidence level would improve the scientific impact of the outcome, and novel interventions would be another factor to improve the clinical trials’ influence. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02142481/full - - -Record #94 of 151 -ID: CN-01666915 -AU: Balbuena LD -TI: The UK Research Excellence Framework and the Matthew effect: insights from machine learning -SO: PloS one -YR: 2018 -VL: 13 -NO: 11 -PG: e0207919 -PM: PUBMED 30475868 -XR: EMBASE 625190226 -PT: Journal article -KY: *machine learning; Article; Bayes Theorem; Bibliometrics; Controlled study; Educational Measurement; Explanatory variable; Human; Humans; Machine Learning; Major clinical study; Models, Theoretical; Randomized controlled trial; Research; Scholarly Communication; Student; Students; United Kingdom; Universities [economics]; Web of Science -DOI: 10.1371/journal.pone.0207919 -AB: With the high cost of the research assessment exercises in the UK, many have called for simpler and less time‐consuming alternatives. In this work, we gathered publicly available REF data, combined them with library‐subscribed data, and used machine learning to examine whether the overall result of the Research Excellence Framework 2014 could be replicated. A Bayesian additive regression tree model predicting university grade point average (GPA) from an initial set of 18 candidate explanatory variables was developed. One hundred and nine universities were randomly divided into a training set (n = 79) and test set (n = 30). The model "learned" associations between GPA and the other variables in the training set and was made to predict the GPA of universities in the test set. GPA could be predicted from just three variables: the number of Web of Science documents, entry tariff, and percentage of students coming from state schools (r‐squared = .88). Implications of this finding are discussed and proposals are given. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01666915/full - - -Record #95 of 151 -ID: CN-02096737 -AU: Bianchini C -AU: Cosentino C -AU: Paci M -AU: Baccini M -TI: Open Access Physical Therapy Journals: do Predatory Journals Publish Lower-Quality Randomized Controlled Trials? -SO: Archives of physical medicine and rehabilitation -YR: 2020 -VL: 101 -NO: 6 -PG: 969‐977 -PM: PUBMED 32001256 -XR: EMBASE 2005067684 -PT: Journal article -KY: *peer review; *physiotherapy; Article; Bibliometrics; Clinical article; Controlled study; Directory; Human; Humans; Independent variable; Medline; Outcome assessment; PEDro; Peer Review, Research [*standards]; Periodicals as Topic [*standards]; Physical Therapy Modalities; Publishing [*standards]; Randomized Controlled Trials as Topic [*standards]; Randomized controlled trial -DOI: 10.1016/j.apmr.2019.12.012 -AB: OBJECTIVES: To compare the quality of randomized controlled trials (RCTs) published in predatory and nonpredatory journals in the field of physical therapy. DATA SOURCES: From a list of 18 journals included either on Beall's list (n=9) or in the Directory of Open Access Journals (DOAJ) (n=9), 2 independent assessors extracted all the RCTs published between 2014 and 2017. When journals published more than 40 RCTs, a sample of 40 trials was randomly extracted, preserving the proportions among years. Indexing in PubMed, country of journal publication, and dates of submission or acceptance were also recorded for each journal. MAIN OUTCOME MEASURES: The PEDro (Physiotherapy Evidence Database) scale and duration of the peer review. RESULTS: Four hundred ten RCTs were included. The mean PEDro score of articles published in non‐Beall, DOAJ journals was higher than those published in Beall journals (mean score ± SD, 5.8±1.7 vs 4.5±1.5; P<.001), with the differences increasing when the indexing in PubMed was also considered (6.5±1.5 vs 4.4±1.5; P<.001). The peer review duration was significantly longer in non‐Beall than in Beall journals (mean duration [d] ± SD, 145.2±92.9 vs 45.4±38.8; P<.001) and in journals indexed in PubMed than in nonindexed journals (136.6±100.7 vs 60.4±55.7; P<.001). Indexing in PubMed was the strongest independent variable associated with the PEDro score (adjusted R2=0.182), but noninclusion on Beall's list explained an additional, albeit small, portion of the PEDro score variance (cumulative adjusted R2=0.214). CONCLUSIONS: Potentially predatory journals publish lower‐quality trials and have a shorter peer review process than non‐Beall journals included in the DOAJ database. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02096737/full - - -Record #96 of 151 -ID: CN-01746539 -AU: Hopewell S -TI: Assessing the impact of abstracts from the Thoracic Society of Australia and New Zealand in Cochrane reviews -SO: Respirology (Carlton, Vic.) -YR: 2003 -VL: 8 -NO: 4 -PG: 509‐512 -PM: PUBMED 14629657 -XR: EMBASE 38009648 -PT: Journal article -KY: *Cochrane Library; *medical society; Article; Australia; Bibliometrics; Clinical trial; Congresses as Topic; Controlled clinical trial; Health care; Humans; Medical research; Methodology; New Zealand; Priority journal; Publication; Publication Bias; Randomized controlled trial; Respiratory Tract Diseases; Review Literature as Topic; Thoracic Diseases -DOI: 10.1046/j.1440-1843.2003.00508.x -AB: OBJECTIVE: The aim of this study was to assess the potential impact of including trials, reported in conference abstracts from the Thoracic Society of Australia and New Zealand, in Cochrane reviews. METHODOLOGY: Abstracts from the Thoracic Society of Australia and New Zealand, published in the Australian and New Zealand Journal of Medicine (1981‐1998), were read to identify all reports of randomized trials. A search was carried out of the Cochrane Database of Systematic Reviews (Issue 1, 2002) for each trial reported in a conference abstract to try to identify Cochrane reviews in which the conference abstract might be eligible for inclusion. If it was unclear, the authors of the review were contacted. RESULTS: A total of 187 reports of randomized trials were identified: 101 (54%) had been published as a full report and 86 (46%) remained unpublished. Thirty‐four (72%) were reports of randomized controlled trials and 52 (28%) were quasi‐randomized or possibly randomized trials. The total number of patients included in the trials was 9691; range 4‐1203 (median 20; IQR 11‐47). No possible Cochrane review was found for 145 of the 187 trials reported in the conference abstracts. Possible reviews were identified for 42 trials, 24 of which were already mentioned in Cochrane reviews. For the remaining 18 trials, only three were said to be eligible for inclusion. CONCLUSION: A search of conference abstracts identified a number of reports of randomized trials, potentially eligible for inclusion in reviews of health care. However, the majority of trials were not relevant for inclusion in an existing Cochrane review. This is most likely because there are currently too few reviews to deal with the topics covered in the abstracts. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01746539/full - - -Record #97 of 151 -ID: CN-01113240 -AU: Garfinkle M -AU: Stewart S -AU: Ward H -AU: Wilson T -TI: Publishing journal's prestige does not influence critical appraisal -SO: Journal of clinical epidemiology -YR: 2015 -VL: 68 -NO: 9 -PG: 1093‐1094 -PM: PUBMED 25293423 -PT: Journal article -KY: Bias; Bibliometrics; Humans; Internship and Residency; Periodicals as Topic; Publishing; Randomized Controlled Trials as Topic; Research Design; Surveys and Questionnaires -DOI: 10.1016/j.jclinepi.2014.09.009 -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01113240/full - - -Record #98 of 151 -ID: CN-01775694 -AU: Kjaergard LL -AU: Gluud C -TI: Citation bias of hepato-biliary randomized clinical trials -SO: Journal of clinical epidemiology -YR: 2002 -VL: 55 -NO: 4 -PG: 407‐410 -PM: PUBMED 11927210 -XR: EMBASE 34240493 -PT: Journal article -KY: *hepatobiliary disease; Adult; Aged; Article; Bias; Bibliometrics; Biliary Tract Diseases; Clinical trial; Controlled clinical trial; Data base; Double‐Blind Method; Female; Human; Humans; Liver Diseases; MEDLINE; Major clinical study; Male; Medline; Meta analysis; Methodology; Outcomes research; Priority journal; Publication; Randomized Controlled Trials as Topic; Randomized controlled trial; Retrospective Studies; Statistical significance -DOI: 10.1016/S0895-4356(01)00513-3 -AB: The objective of this study was to assess whether trials with a positive (i.e., statistically significant) outcome are cited more often than negative trials. We reviewed 530 randomized clinical trials on hepato‐biliary diseases published in 11 English‐language journals indexed in MEDLINE from 1985‐1996. From each trial, we extracted the statistical significance of the primary study outcome (positive or negative), the disease area, and methodological quality (randomization and double blinding). The number of citations during two calendar years after publication was obtained from Science Citation Index. There was a significant positive association between a statistically significant study outcome and the citation frequency (beta, 0.55, 95% confidence interval, 0.39‐0.72). The disease area and adequate generation of the allocation sequence were also significant predictors of the citation frequency. We concluded that positive trials are cited significantly more often than negative trials. The association was not explained by disease area or methodological quality. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01775694/full - - -Record #99 of 151 -ID: CN-02295250 -AU: Su X -AU: Hu HY -AU: Xu C -TI: Global Research on Neuropathic Pain Rehabilitation over the Last 20 Years -SO: Neural plasticity -YR: 2021 -VL: 2021 -PG: 5594512 -PM: PUBMED 34306062 -XR: EMBASE 2013723610 -PT: Journal article -KY: *Bibliometrics; *neuropathic pain /rehabilitation; Academies and Institutes [statistics & numerical data]; Authorship; Exercise; Global Health; Human; Humans; Linear regression analysis; Neuralgia [*rehabilitation]; Periodicals as Topic [statistics & numerical data]; Questionnaire; Rehabilitation research; Research [*trends]; Review; Software; United States -DOI: 10.1155/2021/5594512 -AB: Background. Neuropathic pain has long been a very popular and productive field of clinical research. Neuropathic pain is difficult to cure radically because of its complicated etiology and uncertain pathogenesis. As pain worsens and persists, pain recovery techniques become more important, and medication alone is insufficient. No summary of bibliometric studies on neuropathic pain rehabilitation is yet available. The purpose of the present study is to analyze in a systematic manner the trends of neuropathic pain rehabilitation research over the period of 2000‐2019. Methods. Studies related to neuropathic pain rehabilitation and published between January 2000 and December 2019 were obtained from the Science Citation Index‐Expanded of Web of Science. No restrictions on language, literature type, or species were established. CiteSpace V and Microsoft Excel were used to capture basic information and highlights in the field. Results. Linear regression analysis showed that the number of publications on neuropathic pain rehabilitation significantly increased over time (P<0.001). The United States showed absolute strength in terms of number of papers published, influence, and cooperation with other countries. Based on the subject categories of the Web of Science, "Rehabilitation"had the highest number of published papers (446), the highest number of citations (10,954), and the highest number of open‐access papers (151); moreover, this category and "Clinical Neurology"had the same H‐index (i.e., 52). "Randomized Controlled Trials"revealed the largest cluster in the cocitation map of references. The latest burst keywords included "Exercise"(2014‐2019), "Functional Recovery"(2015‐2019), and "Questionnaire"(2015‐2019). Conclusion. This study provides valuable information for neuropathic pain rehabilitation researchers seeking fresh viewpoints related to collaborators, cooperative institutions, and popular topics in this field. Some new research trends are also highlighted. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02295250/full - - -Record #100 of 151 -ID: CN-02175827 -AU: Polce EM -AU: Kunze KN -AU: Farivar D -AU: Fu MC -AU: Nwachukwu BU -AU: Nho SJ -AU: Chahla J -TI: Orthopaedic Randomized Controlled Trials Published in General Medical Journals Are Associated With Higher Altmetric Attention Scores and Social Media Attention Than Nonorthopaedic Randomized Controlled Trials -SO: Arthroscopy -YR: 2021 -VL: 37 -NO: 4 -PG: 1261‐1270 -PM: PUBMED 32956804 -XR: EMBASE 632945918 -PT: Journal article -KY: *Bibliometrics; *Orthopedics; *Periodicals as Topic; *Randomized Controlled Trials as Topic; *Social Media; *attention; *social media; Article; Bias; Controlled study; Human; Humans; Information center; Internal medicine; Journal Impact Factor; Linear Models; Linear regression analysis; Medical society; Orthopedic Procedures; Orthopedic surgeon; Randomized controlled trial; United States -DOI: 10.1016/j.arthro.2020.09.015 -AB: PURPOSE: To (1) compare the Altmetric Attention Score (AAS) and citation rates between orthopaedic and nonorthopaedic randomized controlled trials (RCTs) from 5 high‐impact medical journals and (2) identify general characteristics of these articles associated with greater exposure on social media platforms. METHODS: Articles published in The New England Journal of Medicine (NEJM), Lancet, The Journal of the American Medical Association (JAMA), Annals of Internal Medicine, and Archives of Internal Medicine between January 2011 and December 2016 were analyzed. These journals were selected based on retaining high impact factors with rigorous publication standards and availability of the AAS for their publications. The queried time frame was chosen to balance the inception of the AAS with an optimal period for citation accrual. A total of 14 article characteristics, in addition to number of Tweets, Facebook shares, news mentions, and the AAS, were extracted. Inclusion criteria were orthopaedic RCTs reporting on outcomes after surgical intervention. Linear regression was used to assess the relationship between publication characteristics and the AAS and social media attention. RESULTS: A total of 9 orthopaedic and 59 nonorthopaedic RCTs were included. The mean AASs were significantly different (574 ± 565.7 versus 256.9 ± 222.3, P = .003), whereas citation rate was not (192.2 ± 117.1 versus 382.3 ± 560.3, P = .317). Orthopaedic RCTs had a significantly greater number of mentions on Twitter and Facebook (P < .001). A higher AAS significantly associated with a greater number of citations (β = 0.75, P = .019) for orthopaedic RCTs. The mean AAS of orthopaedic RCTs favoring nonoperative management (809.6 ± 676.3) was greater than those favoring operative treatment (292.0 ± 248.9) but was not statistically significant (P = .361). CONCLUSION: Orthopaedic RCTs published in 5 high‐impact general medical journals had a significantly greater mean AAS relative to nonorthopaedic RCTs, with no differences in citation rates. Additionally, there was a strong association between the AAS and citation rate of orthopaedic RCTs. Orthopaedic RCTs had greater social media exposure on both Twitter and Facebook. CLINICAL RELEVANCE: Orthopaedic surgeons, researchers, and providers who publish RCTs in high‐impact medical journals can anticipate extensive social media attention for their articles relative to other nonorthopaedic RCTs in the same journals. Social media attention may be related to operative versus nonoperative management topics. This study provides further evidence for the increasing use of the AAS and its association with citation accrual. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02175827/full - - -Record #101 of 151 -ID: CN-01782017 -AU: Ramasubbu K -AU: Gurm H -AU: Litaker D -TI: Gender bias in clinical trials: do double standards still apply? -SO: Journal of women's health & gender-based medicine -YR: 2001 -VL: 10 -NO: 8 -PG: 757‐764 -PM: PUBMED 11703888 -XR: EMBASE 33062085 -PT: Journal article -KY: *clinical research; Adult; Analysis of Variance; Article; Bibliometrics; Clinical observation; Clinical study; Clinical trial; Controlled clinical trial; Controlled study; Data analysis; Female; Financial management; Health care policy; Health status; Human; Humans; Major clinical study; Male; Medical information; Medical literature; Medicine; Mortality; Patient Selection; Patient selection; Performance; Phase 3 clinical trial; Prejudice; Priority journal; Publication; Randomized Controlled Trials as Topic [*trends]; Randomized controlled trial; Sex difference; Specialization; Standard; United States -DOI: 10.1089/15246090152636514 -AB: Differential enrollment into clinical trials by gender has been described previously. In 1993, the National Institutes of Health (NIH) Revitalization Act was enacted to promote the inclusion of women in clinical trials. The purpose of this study was to review patterns in clinical trial enrollment among studies published in a major medical journal to determine the effects of this policy. A systematic search was conducted of all articles published in the Original Articles section of The New England Journal of Medicine from 1994 to 1999. Two independent observers abstracted information from the randomized clinical trials using standardized forms. All randomized clinical trials in which the primary end point was total mortality or included mortality in a composite end point were considered for review. Trials were analyzed for enrollment of women with respect to disease state, funding source, site of trial performance, and use of gender‐specific data analysis. From 1994 to 1999, 1322 original articles were published in The New England Journal of Medicine, including 442 randomized, controlled trials of which 120 met our inclusion criteria. On average, 24.6% women were enrolled. Gender‐specific data analysis was performed in 14% of the trials. The NIH Revitalization Act does not appear to have improved gender‐balanced enrollment or promoted the use of gender‐specific analyses in clinical trials published in an influential medical journal. Overcoming this trend will require rigorous efforts on the part of funding entities, trial investigators, and journals disseminating study results. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01782017/full - - -Record #102 of 151 -ID: CN-02246068 -AU: Gai N -AU: Aoyama K -AU: Faraoni D -AU: Goldenberg NM -AU: Levin DN -AU: Maynes JT -AU: McVey MJ -AU: Munshey F -AU: Siddiqui A -AU: Switzer T -AU: et al. -TI: General medical publications during COVID-19 show increased dissemination despite lower validation -SO: PloS one -YR: 2021 -VL: 16 -NO: 2 -PG: e0246427 -PM: PUBMED 33529266 -XR: EMBASE 2010964067 -PT: Journal article -KY: *Bibliometrics; *COVID‐19; *Periodicals as Topic [standards]; *coronavirus disease 2019; *information dissemination; *medical research; *publication; *validation process; Article; Article characteristic; Bibliometrics; Communication; Comparative study; Cross‐Sectional Studies; Cross‐sectional study; Human; Humans; Impact metric; Industry and industrial phenomena; Medical literature; Observational method; Pandemics; Peer Review, Research; Principal Component Analysis; Principal component analysis; Publication characteristic -DOI: 10.1371/journal.pone.0246427 -AB: Background The COVID‐19 pandemic has yielded an unprecedented quantity of new publications, contributing to an overwhelming quantity of information and leading to the rapid dissemination of less stringently validated information. Yet, a formal analysis of how the medical literature has changed during the pandemic is lacking. In this analysis, we aimed to quantify how scientific publications changed at the outset of the COVID‐19 pandemic. Methods We performed a cross‐sectional bibliometric study of published studies in four high‐impact medical journals to identify differences in the characteristics of COVID‐19 related publications compared to non‐pandemic studies. Original investigations related to SARS‐CoV‐2 and COVID‐19 published in March and April 2020 were identified and compared to non‐COVID‐19 research publications over the same two‐month period in 2019 and 2020. Extracted data included publication characteristics, study characteristics, author characteristics, and impact metrics. Our primary measure was principal component analysis (PCA) of publication characteristics and impact metrics across groups. Results We identified 402 publications that met inclusion criteria: 76 were related to COVID‐19; 154 and 172 were non‐COVID publications over the same period in 2020 and 2019, respectively. PCA utilizing the collected bibliometric data revealed segregation of the COVID‐19 literature subset from both groups of non‐COVID literature (2019 and 2020). COVID‐19 publications were more likely to describe prospective observational (31.6%) or case series (41.8%) studies without industry funding as compared with non‐COVID articles, which were represented primarily by randomized controlled trials (32.5% and 36.6% in the non‐COVID literature from 2020 and 2019, respectively). Conclusions In this cross‐sectional study of publications in four general medical journals, COVID‐related articles were significantly different from non‐COVID articles based on article characteristics and impact metrics. COVID‐related studies were generally shorter articles reporting observational studies with less literature cited and fewer study sites, suggestive of more limited scientific support. They nevertheless had much higher dissemination. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02246068/full - - -Record #103 of 151 -ID: CN-01779148 -AU: Lanzafame RJ -TI: Pure or tarnished: are systematic reviews blind or biased? -SO: Photomedicine and laser surgery -YR: 2005 -VL: 23 -NO: 5 -PG: 451‐452 -PM: PUBMED 16262572 -XR: EMBASE 41627896 -PT: Journal article -KY: *laser surgery; Bias; Bibliometrics; Clinical research; Clinical trial; Cochrane Library; Controlled clinical trial; Editorial; Humans; Low‐Level Light Therapy; Medical literature; Osteoarthritis [epidemiology, *radiotherapy]; Publication; Quality control; Randomized Controlled Trials as Topic; Randomized controlled trial; Review Literature as Topic; Sensitivity and Specificity; Systematic review -DOI: 10.1089/pho.2005.23.451 -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01779148/full - - -Record #104 of 151 -ID: CN-01725306 -AU: Margaliot Z -AU: Chung KC -TI: Systematic reviews: a primer for plastic surgery research -SO: Plastic and reconstructive surgery -YR: 2007 -VL: 120 -NO: 7 -PG: 1834‐1841 -PM: PUBMED 18090745 -XR: EMBASE 350306678 -PT: Journal article -KY: *medical research; *plastic surgery; Bias; Bibliometrics; Citation analysis; Cochrane Library; Data Collection [methods]; Data analysis; Data base; Data extraction; Data synthesis; Databases, Bibliographic; Embase; Evidence based medicine; Evidence‐Based Medicine; Guidelines as Topic; Human; Information retrieval; MEDLINE; Medline; Meta‐Analysis as Topic; Practice guideline; Priority journal; Publishing; Quality Control; Quality control; Randomized controlled trial; Reproducibility; Research; Review; Review Literature as Topic; Statistical analysis; Surgery, Plastic; Systematic error; Systematic review; Validity; Writing -DOI: 10.1097/01.prs.0000295984.24890.2f -AB: Clinicians rely on review articles to keep current with the rapid accumulation of medical and surgical literature. Traditional expert reviews, however, often suffer from inherent personal biases and may not reflect a true synthesis of the existing literature on a particular subject. Systematic reviews are structured, scientific articles that address the shortcomings of traditional reviews by adhering to strict, reproducible methods and recommended guidelines. The methods are designed to eliminate possible sources of bias, ensure as complete a review of the existing literature as possible, and present the results in a way that is useful for its intended audience. Systematic reviews may at times include a quantitative synthesis of the available data in the form of a meta‐analysis. Meta‐analysis is a statistical tool for combining the numerical results of separate studies to obtain a summary outcome with increased precision due to the larger, combined number of patients. Meta‐analyses may be particularly helpful when individual study results are conflicting and the existing literature is inconclusive. The validity of meta‐analysis, however, is highly dependent on the quality of data available in the literature. In its strictest form, meta‐analysis is used to combine data from only randomized controlled clinical trials. Because randomized controlled clinical trials are infrequently performed in plastic surgery research, this article will focus on systematic reviews to provide the readers with a useful guide in performing this field of study. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01725306/full - - -Record #105 of 151 -ID: CN-01752698 -AU: Bernal-Delgado E -AU: Fisher ES -TI: Abstracts in high profile journals often fail to report harm -SO: BMC medical research methodology -YR: 2008 -VL: 8 -PG: 14 -PM: PUBMED 18371200 -XR: EMBASE 351581167 -PT: Journal article -KY: *medical literature; Abstracting and Indexing; Article; Bibliometrics; Comparative study; Confidence Intervals; Confidence interval; Corrected prevalence ratio; Drug industry; Humans; Iatrogenic Disease; Information Storage and Retrieval [methods]; Logistic Models; Logistic regression analysis; Periodicals as Topic [*standards]; Prevalence; Randomized Controlled Trials as Topic [*standards]; Randomized controlled trial; Statistical significance; Structured interview -DOI: 10.1186/1471-2288-8-14 -AB: BACKGROUND: To describe how frequently harm is reported in the abstract of high impact factor medical journals. DESIGN AND POPULATION: We carried out a blinded structured review of a random sample of 363 Randomised Controlled Trials (RCTs) carried out on human beings, and published in high impact factor medical journals in 2003. Main endpoint: 1) Proportion of articles reporting harm in the abstract; and 2) Proportion of articles that reported harm in the abstract when harm was reported in the main body of the article. ANALYSIS: Corrected Prevalence Ratio (cPR) and its exact confidence interval were calculated. Non‐conditional logistic regression was used. RESULTS: 363 articles and 407 possible comparisons were studied. Overall, harm was reported in 135 abstracts [37.2% (CI95%:32.2 to 42.4)]. Harm was reported in the main text of 243 articles [66.9% (CI95%: 61.8 to 71.8)] and was statistically significant in 54 articles [14.9% (CI95%: 11.4 to 19.0)]. Among the 243 articles that mentioned harm in the text, 130 articles [53.5% (CI95% 47.0 to 59.9)] reported harm in the abstract; a figure that rose to 75.9% (CI95%: 62.4 to 86.5) when the harm reported in the text was statistically significant. Harm in the abstract was more likely to be reported when statistically significant harm was reported in the main body of the article [cPR = 1.70 (CI95% 1.47 to 1.92)] and when drug companies (not public institutions) funded the RCTs [cPR = 1.29 (CI95% 1.03 to 1.67)]. CONCLUSION: Abstracts published in high impact factor medical journals underreport harm, even when harm is reported in the main body of the article. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01752698/full - - -Record #106 of 151 -ID: CN-01762335 -AU: Mathieu S -AU: Boutron I -AU: Moher D -AU: Altman DG -AU: Ravaud P -TI: Comparison of registered and published primary outcomes in randomized controlled trials -SO: JAMA -YR: 2009 -VL: 302 -NO: 9 -PG: 977‐984 -PM: PUBMED 19724045 -XR: EMBASE 355210578 -PT: Journal article -KY: *outcome assessment; *publishing; *randomized controlled trial; Article; Bibliometrics; Cardiology; Comparative study; Gastroenterology; Medical information; Medical literature; Periodicals as Topic [standards, *statistics & numerical data]; Priority journal; Publication Bias; Publishing [standards, statistics & numerical data]; Randomized Controlled Trials as Topic [standards, *statistics & numerical data]; Register; Registries [standards]; Rheumatology; Treatment Outcome -DOI: 10.1001/jama.2009.1242 -AB: CONTEXT: As of 2005, the International Committee of Medical Journal Editors required investigators to register their trials prior to participant enrollment as a precondition for publishing the trial's findings in member journals. OBJECTIVE: To assess the proportion of registered trials with results recently published in journals with high impact factors; to compare the primary outcomes specified in trial registries with those reported in the published articles; and to determine whether primary outcome reporting bias favored significant outcomes. DATA SOURCES AND STUDY SELECTION: MEDLINE via PubMed was searched for reports of randomized controlled trials (RCTs) in 3 medical areas (cardiology, rheumatology, and gastroenterology) indexed in 2008 in the 10 general medical journals and specialty journals with the highest impact factors. DATA EXTRACTION: For each included article, we obtained the trial registration information using a standardized data extraction form. RESULTS: Of the 323 included trials, 147 (45.5%) were adequately registered (ie, registered before the end of the trial, with the primary outcome clearly specified). Trial registration was lacking for 89 published reports (27.6%), 45 trials (13.9%) were registered after the completion of the study, 39 (12%) were registered with no or an unclear description of the primary outcome, and 3 (0.9%) were registered after the completion of the study and had an unclear description of the primary outcome. Among articles with trials adequately registered, 31% (46 of 147) showed some evidence of discrepancies between the outcomes registered and the outcomes published. The influence of these discrepancies could be assessed in only half of them and in these statistically significant results were favored in 82.6% (19 of 23). CONCLUSION: Comparison of the primary outcomes of RCTs registered with their subsequent publication indicated that selective outcome reporting is prevalent. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01762335/full - - -Record #107 of 151 -ID: CN-01737288 -AU: Reeves MD -TI: Increase in quality, but not quantity, of clinical trials in acute pain: 1992 versus 2007 -SO: Anesthesia and analgesia -YR: 2009 -VL: 109 -NO: 5 -PG: 1656‐1658 -PM: PUBMED 19843804 -XR: EMBASE 358123288 -PT: Journal article -KY: *postoperative pain /drug therapy /complication /drug therapy; Acute Disease; Adult; Analgesia; Analgesia [*trends]; Anesthesiology; Article; Bibliometrics; Clinical Trials as Topic [standards]; Clinical trial; Controlled clinical trial; Controlled study; Epidural anesthesia; Human; Humans; Medical literature; Methodology; Pain assessment; Pain, Postoperative [*therapy]; Patient controlled analgesia; Periodicals as Topic [standards]; Postoperative analgesia; Priority journal; Quality Control; Quality of life; Randomized controlled trial; Research Design [standards]; Time Factors; Treatment Outcome; Unspecified side effect /side effect; Visual analog scale -DOI: 10.1213/ANE.0b013e3181b626b6 -AB: The annual number of published clinical trials in acute postoperative pain in adults has changed little in 15 yr and, as a fraction of all clinical trials published in the six highest impact journals in anesthesiology, has actually decreased from 16% (95% confidence interval: 12‐20) to 11% (95% confidence interval: 9‐15). However, the methodological quality of reports has improved, with explicit statements on power analysis, allocation concealment, and specification of primary end points exceeding 90% of reports in 2007. There has been a shift in hypothesis interests away from neuraxial analgesia and toward multimodal analgesia. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01737288/full - - -Record #108 of 151 -ID: CN-01763415 -AU: Klassen TP -AU: Pham B -AU: Lawson ML -AU: Moher D -TI: For randomized controlled trials, the quality of reports of complementary and alternative medicine was as good as reports of conventional medicine -SO: Journal of clinical epidemiology -YR: 2005 -VL: 58 -NO: 8 -PG: 763‐768 -PM: PUBMED 16018911 -XR: EMBASE 40966833 -PT: Journal article -KY: *alternative medicine; *medicine; Analytic method; Bibliometrics; Clinical trial; Comparative study; Complementary Therapies [*standards]; Controlled clinical trial; Data analysis; Humans; Information processing; Language; Periodicals as Topic [*standards]; Priority journal; Publication; Publications [standards]; Qualitative analysis; Quality Assurance, Health Care; Randomized Controlled Trials as Topic [*standards]; Randomized controlled trial; Research Design; Review; Review Literature as Topic; Scoring system; Standardization -DOI: 10.1016/j.jclinepi.2004.08.020 -AB: OBJECTIVE: To compare the quality of reporting of reports randomized controlled trials (RCTs) published in English and in languages other than English (LOE), and to determine whether there were differences between conventional medicine (CM) and complementary and alternative medicine (CAM) reports. STUDY DESIGN AND SETTING: We examined more than 600 RCTs associated with 125 systematic reviews. We extracted characteristics of each RCT using a standardized data collection form. We assessed quality using the Jadad scale and the adequacy of allocation concealment. RESULTS: There were only minor differences in the quality of reports of RCTs published in English compared with other languages (median quality score of 3 vs. 2, P=.10), and the quality of reports of CAM RCTs was similar to the CM reports (median score of 3 vs. 2, P=.14). There was no effect of language of publication on quality of reporting for CM trials (median score of 2 vs. 2, P=.12). Among CAM trials, however, overall quality scores were higher for reports in English than for reports in other languages (median score of 3 vs. 2, P=.04). CONCLUSION: The overall quality of reports published in languages other than English is similar to that of English‐language reports. Moreover, the overall quality of reporting of RCTs of CAM interventions is as good as that for CM interventions. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01763415/full - - -Record #109 of 151 -ID: CN-01762920 -AU: Varnell SP -AU: Murray DM -AU: Janega JB -AU: Blitstein JL -TI: Design and Analysis of Group-Randomized Trials: a Review of Recent Practices -SO: American journal of public health -YR: 2004 -VL: 94 -NO: 3 -PG: 393‐399 -PM: PUBMED 14998802 -XR: EMBASE 38269491 -PT: Journal article -KY: *Bibliometrics; *Cluster Analysis; *Public Health Practice; *group randomized trial; *peer review; *randomization; Analytic method; Calculation; Clinical trial; Controlled clinical trial; Controlled study; Data analysis; Epidemiologic Research Design; Evidence based medicine; Human; Humans; Medical literature; Meta analysis; Methodology; Periodicals as Topic [*statistics & numerical data]; Preventive medicine; Publication; Quality Control; Randomized Controlled Trials as Topic [*methods]; Randomized controlled trial; Review; Sample Size; Sample size; Sensitivity and Specificity; Statistical analysis -DOI: 10.2105/ajph.94.3.393 -AB: We reviewed group‐randomized trials (GRTs) published in the American Journal of Public Health and Preventive Medicine from 1998 through 2002 and estimated the proportion of GRTs that employ appropriate methods for design and analysis. Of 60 articles, 9 (15.0%) reported evidence of using appropriate methods for sample size estimation. Of 59 articles in the analytic review, 27 (45.8%) reported at least 1 inappropriate analysis and 12 (20.3%) reported only inappropriate analyses. Nineteen (32.2%) reported analyses at an individual or subgroup level, ignoring group, or included group as a fixed effect. Hence increased vigilance is needed to ensure that appropriate methods for GRTs are employed and that results based on inappropriate methods are not published. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01762920/full - - -Record #110 of 151 -ID: CN-01288227 -AU: Ramanan M -AU: Myburgh J -AU: Finfer S -AU: Bellomo R -AU: Venkatesh B -TI: Publication of secondary analyses from randomized trials in critical care -SO: New England journal of medicine -YR: 2016 -VL: 375 -NO: 21 -PG: 2105‐2106 -PM: PUBMED 27959732 -XR: EMBASE 613371380 -PT: Journal article -KY: *Critical Care; *Randomized Controlled Trials as Topic; *controlled study; *intensive care; *publication; *randomized controlled trial (topic); *secondary analysis; Bibliometrics; Controlled clinical trial; Datasets as Topic; Human; Humans; Journal impact factor; Letter; Medical literature; Periodicals as Topic [*statistics & numerical data]; Priority journal; Publishing; Publishing [statistics & numerical data]; Randomized controlled trial -DOI: 10.1056/NEJMc1610367 -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01288227/full - - -Record #111 of 151 -ID: CN-01734717 -AU: Ezzo J -AU: Bausell B -AU: Moerman DE -AU: Berman B -AU: Hadhazy V -TI: Reviewing the reviews. How strong is the evidence? How clear are the conclusions? -SO: International journal of technology assessment in health care -YR: 2001 -VL: 17 -NO: 4 -PG: 457‐466 -PM: PUBMED 11758290 -XR: EMBASE 33108640 -PT: Journal article -KY: *Evidence‐Based Medicine; *Meta‐Analysis as Topic; *evidence based medicine; Article; Bibliometrics; Clinical research; Clinical trial; Controlled clinical trial; Controlled study; Health care policy; Human; Humans; Medical practice; Meta analysis; Observer Variation; Outcome Assessment, Health Care; Outcomes research; Randomized Controlled Trials as Topic [*statistics & numerical data]; Randomized controlled trial; Rating scale; United States -AB: OBJECTIVES: The objectives of this paper were: a) to determine what can be learned from conclusions of systematic reviews about the evidence base of medicine; and b) to determine whether two readers draw similar conclusions from the same review, and whether these match the authors' conclusions. METHODS: Three methodologists (two per review) rated 160 Cochrane systematic reviews (issue 1, 1998) using pre‐established conclusion categories. Disagreements were resolved by discussion to arrive at a consensual score for each review. Reviews' authors were asked to use the same categories to designate the intended conclusion. Interrater agreements were calculated. RESULTS: Interrater agreement between two readers was 0.68 and 0.72, and between readers and authors, 0.32. The largest categories assigned by methodologists were "positive effect" (22.5%), "insufficient evidence" (21.3%), and "evidence of no effect" (20.0%). The largest categories assigned by authors were "insufficient evidence" (32.4%), "possibly positive" (28.6%), and "positive effect" (26.7%). CONCLUSIONS: The number of reviews indicating that the modern biomedical interventions show either no effect or insufficient evidence is surprisingly high. Interrater disagreements suggest a surprising degree of subjective interpretation involved in systematic reviews. Where patterns of disagreement emerged between authors and readers, authors tended to be more optimistic in their conclusions than the readers. Policy implications are discussed. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01734717/full - - -Record #112 of 151 -ID: CN-01734718 -AU: Garcia-Altes A -AU: Jovell E -TI: Economic analysis of treatment of functional dyspepsia. An assessment of the quality of published studies -SO: International journal of technology assessment in health care -YR: 2001 -VL: 17 -NO: 4 -PG: 517‐527 -PM: PUBMED 11758296 -XR: EMBASE 33108646 -PT: Journal article -KY: *Health Care Costs; *dyspepsia /disease management; *health care cost; Article; Bibliometrics; Clinical trial; Controlled clinical trial; Controlled study; Cost benefit analysis; Cost effectiveness analysis; Databases, Bibliographic; Dyspepsia [*economics, *therapy]; Evidence‐Based Medicine [*economics]; Gastrointestinal disease /disease management; Health Policy; Health economics; Human; Humans; Major clinical study; Multicenter study; Outcomes research; Publishing [standards]; Quality Control; Randomized controlled trial; Spain; Treatment Outcome; Treatment outcome -AB: Objectives: The objective of this study was to assess the quality of economic analysis studies published in the medical and economical literature assessing the clinical management of functional dyspepsia. Methods: Bibliographic search in the main biomedical databases, in articles from bibliographic references, health technology assessment reports, and in gray literature. A specific protocol with economic and clinical items was designed for the evaluation. Results: Overall, 18 of 162 studies met the inclusion criteria for the assessment. The compared treatment options were very diverse. The main methodologic deficiencies were in perspective of analysis, inclusion of indirect costs, and sources of clinical information. Conclusions: Specific checklists with clinical and economical items may help to better assess the quality of economic analysis in the field of functional dyspepsia. The methodologic rigor in the application of economic analysis techniques, as well as the use of appropriate clinical outcome measures, is essential to guarantee the reproducibility of the studies. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01734718/full - - -Record #113 of 151 -ID: CN-01784172 -AU: Sinha S -AU: Sinha S -AU: Ashby E -AU: Jayaram R -AU: Grocott MP -TI: Quality of Reporting in Randomized Trials Published in High-Quality Surgical Journals -SO: Journal of the American College of Surgeons -YR: 2009 -VL: 209 -NO: 5 -PG: 565‐571.e1 -PM: PUBMED 19854395 -XR: EMBASE 50636845 -PT: Journal article -KY: *randomized controlled trial; *surgery; Article; Bibliometrics; Clinical research; General Surgery; Human; Humans; Jadad Score; Journal Impact Factor; Journalism, Medical [*standards]; MEDLINE; Medical Records [*standards]; Medical research; Outcomes research; Periodicals as Topic [standards]; Priority journal; Publication; Quality control; Randomization; Randomized Controlled Trials as Topic; Rating scale; Research Design [standards]; Scoring system -DOI: 10.1016/j.jamcollsurg.2009.07.019 -AB: BACKGROUND: Randomized controlled trials (RCTs) in surgery can provide valuable evidence of the efficacy of interventions if they are well‐designed, appropriately executed, and adequately reported. Adequate reporting of methodology in surgical RCTs is known to be poor, and adverse‐event reporting in surgical research is inconsistent. The Consolidated Standards of Reporting Trials (CONSORT) statement is a framework to help authors report their findings in a transparent manner. Extensions to the CONSORT statement have been published recently to address deficiencies in adverse‐event reporting and in reporting of specific criteria related to nonpharmacologic treatments. The aim of this study was to assess the quality of reporting of trial methodology and adverse events in a sample of general surgical RCTs published in high‐quality surgical journals using the criteria specified in the CONSORT statements. STUDY DESIGN: We used impact factor to identify the top three ranked surgical journals in 2004. We then obtained information on all RCTs published in these journals in the 2005 calendar year. We assessed quality of reporting using Jadad score, compared the quality of RCTs from CONSORT‐endorsing journals with nonendorsers, and assessed the number of RCTs adequately reporting key generic methodologic, adverse‐event‐related, and specific nonpharmacologic criteria. RESULTS: Of 42 RCTs analyzed, only 40% (17 of 42) had a Jadad score > or = 3. There was no significant difference in the number of high‐quality RCTs published in CONSORT‐endorsing journals compared with nonendorsers (p = 0.3). The median percentage of RCTs adequately reporting generic methodologic, adverse‐event‐related, and specific nonpharmacologic criteria was 32.5%, 17%, and 36.5%, respectively. CONCLUSIONS: Quality of reporting of generic methodologic, adverse‐event‐related, and specific nonpharmacologic criteria in surgical RCTs is poor. Increased attention to quality of reporting of surgical RCTs is required if studies are to meet published criteria. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01784172/full - - -Record #114 of 151 -ID: CN-01341681 -AU: Hawkins CM -AU: Hunter M -AU: Kolenic GE -AU: Carlos RC -TI: Social Media and Peer-Reviewed Medical Journal Readership: a Randomized Prospective Controlled Trial -SO: Journal of the American College of Radiology : JACR -YR: 2017 -VL: 14 -NO: 5 -PG: 596‐602 -PM: PUBMED 28268163 -XR: EMBASE 614661115 -PT: Journal article -KY: *medical literature; *peer review; *social media; Bibliometrics; Confidence interval; Control group; Controlled clinical trial; Controlled study; Human; Humans; Journal Impact Factor; Netherlands; Peer Review; Periodicals as Topic [*statistics & numerical data]; Prospective Studies; Radiology; Radiology [*statistics & numerical data]; Random Allocation; Randomized controlled trial; Social Media [*statistics & numerical data]; Student -DOI: 10.1016/j.jacr.2016.12.024 -AB: Objective To prospectively evaluate the impact of increasing levels of social media engagement on page visits and web‐link clicks for content published in the Journal of the American College of Radiology. Methods A three‐arm prospective trial was designed using a control group, a basic Twitter intervention group (using only the Journal's @JACRJournal Twitter account), and an enhanced Twitter intervention group (using the personal Twitter accounts of editorial board members and trainees). Overall, 428 articles published between June 2013 and July 2015 were randomly assigned to the three groups. Article‐specific tweets for both intervention arms were sent between September 14, 2015, and October 28, 2015. Primary end points included article‐specific weekly and monthly page visits on the journal's Elsevier website (Amsterdam, Netherlands). For the two intervention groups, additional end points included 7‐day and 30‐day Twitter link clicks. Results Weekly page visits for the enhanced Twitter arm (mean 18.2; 95% confidence interval [CI] 15.6‐20.7) were significantly higher when compared with the weekly page visits for the control arm (mean 7.6; 95% CI 1.7‐13.6). However, there was no demonstrable increase in weekly page visits (mean 9.4; 95% CI 7.4‐11.5) for the basic Twitter arm compared with the control arm. No intervention effects over control, regardless of Twitter arm assignment, were demonstrated for monthly page visits. The enhanced Twitter intervention resulted in a statistically significant increase in both 7‐day and 30‐day Twitter link clicks compared with the basic Twitter intervention group. Conclusions An organized social media strategy, with focused social media activity from editorial board members, increased engagement with content published in a peer‐reviewed radiology journal. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01341681/full - - -Record #115 of 151 -ID: CN-01760250 -AU: Maeda K -AU: Rahman M -AU: Fukui T -TI: Japan's contribution to clinical research in gastroenterology and hepatology -SO: Journal of gastroenterology -YR: 2003 -VL: 38 -NO: 8 -PG: 816‐819 -PM: PUBMED 14505143 -XR: EMBASE 37161353 -PT: Journal article -KY: *clinical research; *gastroenterology; *liver; Article; Bibliometrics; Biomedical Research [*statistics & numerical data]; Clinical trial; Controlled clinical trial; Controlled study; Gastroenterology [*statistics & numerical data]; Humans; Japan; Medical literature; Medline; Periodicals as Topic [statistics & numerical data]; Priority journal; Randomized Controlled Trials as Topic [statistics & numerical data]; Randomized controlled trial; Statistical analysis; United Kingdom; United States -DOI: 10.1007/s00535-003-1153-4 -AB: Background. Although Japan's contributions to several biomedical fields have already been reported, little is known about Japan's contribution to gastroenterology and hepatology. Methods. Original articles published in 1991 through 2000 in highly reputed journals in the field of gastroenterology and hepatology were retrieved from the MEDLINE database. The number of articles having an affiliation with a Japanese institution was counted in total, and the number for each journal was also counted. Japan's share of articles regarding clinical trials and randomized controlled trials (RCTs) in this field was also determined, along with the trend over the past decade. Results. Japan's share of articles in this field was 10.6%, ranking third in the world, following the United States (35.1%) and the United Kingdom (11.5%). Japan's share of articles went up significantly as a whole (P = 0.01), while the share for RCTs showed no significant change (P = 0.57) during this period of time. Conclusions. Japan's contribution to the field of gastroenterology and hepatology is, in general, acceptable compared with that of other counties, but the contribution for RCTs not satisfactory. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01760250/full - - -Record #116 of 151 -ID: CN-01996444 -AU: Duffett M -AU: Brouwers M -AU: Meade MO -AU: Xu GM -AU: Cook DJ -TI: Research Collaboration in Pediatric Critical Care Randomized Controlled Trials: a Social Network Analysis of Coauthorship -SO: Pediatric critical care medicine -YR: 2020 -VL: 21 -NO: 1 -PG: 12‐20 -PM: PUBMED 31577694 -XR: EMBASE 629513416 -PT: Journal article -KY: *intensive care; *social network; Article; Authorship; Bibliometrics; Biomedical Research [*methods]; Canada; Child; Controlled study; Critical Care; Female; Human; Human experiment; Humans; Intimacy; Male; Multicenter study; Pediatrics; Productivity; Publishing; Randomized Controlled Trials as Topic; Randomized controlled trial; Research Personnel; Social Networking; United Kingdom; United States -DOI: 10.1097/PCC.0000000000002120 -AB: OBJECTIVES: Clinical research is a collaborative enterprise; researchers benefit from the expertise, experience, and resources of their collaborators. We sought to describe the extent and patterns of collaboration among pediatric critical care trialists, and to identify the most influential individuals, centers, and countries. DESIGN: Social network analysis of coauthorship. DATA SOURCES: Publications of pediatric critical care randomized controlled trials (1986‐2018). DATA EXTRACTION: We manually extracted the names of all authors and their affiliations. We used productivity (number of randomized controlled trials), influence (number of citations), and four measures of prominence in the social network (degree, betweenness, closeness, and eigenvector centrality) to identify the most influential individuals. MEASUREMENTS AND MAIN RESULTS: From 415 randomized controlled trials in pediatric critical care, we identified 2,176 trialists from 377 centers in 43 countries. The coauthorship network is highly disconnected and dominated by a single large cluster of trialists publishing 142 (34%) of the randomized controlled trials. However, 119 (29%) of the randomized controlled trials were published by 28 smaller clusters‐a median (interquartile range) of 3 (2‐4) randomized controlled trials each. The remaining 154 (37%) randomized controlled trials were coauthored by researchers publishing a single randomized controlled trial each. This overall structure has remained constant with the publication of new randomized controlled trials over 33 years. The most influential trialists and centers varied according to the metric we used; only one trialist and three centers ranked in the top 10 for all measures of influence. Thirty‐five of the 40 trialists (88%) ranking in the top 10 of any of the measures were from the United States, the United Kingdom, and Canada. CONCLUSIONS: Pediatric critical care has made considerable progress in the number of trialists and randomized controlled trials, but the research enterprise remains highly clustered and fragmented, particularly geographically. Efforts to further increase the quantity and quality of research in the field should include steps to increase the level and range of collaboration. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01996444/full - - -Record #117 of 151 -ID: CN-01754592 -AU: Bailey CS -AU: Fisher CG -AU: Dvorak MF -TI: Type II error in the spine surgical literature -SO: Spine -YR: 2004 -VL: 29 -NO: 10 -PG: 1146‐1149 -PM: PUBMED 15131445 -XR: EMBASE 38649833 -PT: Journal article -KY: *analytical error; *spine surgery; Bibliometrics; Calculation; Clinical trial; Comparative study; Controlled clinical trial; False Negative Reactions; Human; Humans; Hypothesis; Orthopedics; Peer review; Priority journal; Publishing [standards]; Randomized Controlled Trials as Topic [*statistics & numerical data]; Randomized controlled trial; Research Design; Review; Sample Size; Sample size; Spine [*surgery]; Statistical analysis; Treatment Outcome; Treatment outcome -DOI: 10.1097/00007632-200405150-00018 -AB: Study Design. A literature review. Objectives. To determine the frequency of potential type II errors published in the spine surgical literature. Summary of Background Data. The randomized controlled trial is the strongest clinical evidence available in investigational medicine. Unfortunately, it is common for randomized controlled trials published in peer‐reviewed journals not to report a primary question or a sample size calculation. When the null hypothesis is accepted and the power of a study is unreported, the validity of a study's findings may be significantly limited. To our knowledge, the spine literature has not been appraised to determine the frequency of type II errors. Methods. A literature search was conducted of MED‐LINE, PubMed, and Cochrane databases, using the key words of "spine" and "surgery" between 1967 and 2002. Trials were included if they were of a 2‐group randomized controlled trial design, which reported a nonsignificant difference in the primary outcome. The frequency of reporting the primary outcome and sample size calculation was determined. The sample size was assessed to determine whether the trial had sufficient patients to detect a 10%, 25%, and 35% relative difference in the primary outcome for a power of 80%. Results. A total of 37 studies satisfied the inclusion criteria. Six studies reported a sample size calculation (17%). Of the remaining 31 studies, 5 explicitly stated a primary outcome (14%). The mean type II error (beta error) was 82%. Conclusion. The spine surgical literature is plagued with a high potential for type II error. A trial's methodology should be scrutinized to prevent misinterpretation of the results. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01754592/full - - -Record #118 of 151 -ID: CN-01734296 -AU: Wells M -AU: Sarna L -AU: Bialous SA -TI: Nursing research in smoking cessation: a listing of the literature, 1996-2005 -SO: Nursing research -YR: 2006 -VL: 55 -NO: 4 Suppl -PG: S16‐28 -PM: PUBMED 16829773 -XR: EMBASE 44217658 -PT: Journal article -KY: *bibliographic database; *nursing research; *publication; *smoking /prevention; *smoking cessation; *tobacco dependence; Article; Bibliometrics; Classification; Clinical trial; Controlled clinical trial; Databases, Bibliographic [*statistics & numerical data]; Evidence based medicine; Evidence‐Based Medicine; Human; Humans; Nurse attitude; Nurse's Role; Nursing; Nursing Informatics [organization & administration]; Nursing Research [organization & administration, *statistics & numerical data]; Nursing informatics; Organization and management; Periodicals as Topic [*classification]; Practice Guidelines as Topic; Practice guideline; Randomized Controlled Trials as Topic; Randomized controlled trial; Smoking Prevention; Statistics; Tobacco Use Cessation; Tobacco Use Disorder [*nursing]; United States -DOI: 10.1097/00006199-200607001-00004 -AB: A listing of publications related to nurses and tobacco is posted on the Tobacco Free Nurses Web site (www.tobaccofreenurses.org). For this conference, a chronological listing of the numbers and type of data‐based articles that focused on nursing involvement in tobacco cessation published since 1996, the year of the first publication of the Agency for Health Care Policy and Research, Clinical Practice Guideline #18, through 2005 was developed. One hundred and seventy‐five data‐based papers that met the criteria, that is, the paper focused on smoking cessation and involved nurses, were identified. Most (88%) articles were exclusively focused on cessation. Research designs included experimental (38%), quasi‐experimental (24%), descriptive‐quantitative (25%), descriptive‐qualitative (8%), meta‐analyses (2%), and secondary analyses and systematic reviews (each 1%). The number of articles that focused on nursing involvement in tobacco cessation has increased eight fold in the past 10 years, from less than 5 articles published in 1996 to more than 40 published in 2005. The minority (35%) of data‐based articles that focused on nurses and tobacco cessation were published in nursing journals. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01734296/full - - -Record #119 of 151 -ID: CN-01746433 -AU: Castillo D C -AU: Pletikosic C X -AU: Pizarro A F -TI: Randomized controlled clinical studies in Latin American pediatrics -SO: Revista chilena de pediatria -YR: 2009 -VL: 80 -NO: 5 -PG: 420‐426 -XR: EMBASE 358091415 -PT: Journal article -KY: *publication; *randomized controlled trial; Argentina; Article; Bibliometrics; Brazil; Chile; Groups by age; Hospital; Human; Mexico; Neonatology; Nutrition; Observational study; Organization; Parameters; Pediatrics; Psychiatry; Psychology; Respiratory tract disease; South and Central America; Tooth disease; University; Vaccination -AB: Objective: To analyze the production of RCS among children and adolescents in Latin American countries, between 1996 and 2005. Method: In an observational bibliometric study, all available RCS in PUBMED and LILAC data bases for that period were reviewed. Included were studies of children between 0 and 18 years of age, from 19 Latin American countries; 400 references were included. As a control, all pediatric research from the State of New York, USA, for that same period of time was collected. The following parameters were evaluated: number of RCS per country, affiliation, pediatric area, and adjustments were made for population and GNP for each country. Results: Countries with the highest number of publications per year (RCS/yr) were: Brazil (14.6), Mexico (8.6), Chile (5.5), Argentina (3.9). During that same period of time, the State of New York published 26.7 RCS per year. Overall, in Latin America most published specialities were Nutrition (16%), Respiratory Diseases, Dental problems, Vaccinations, Neonatology. In New York, the most frequent specialty reviewed was Psychiatry/Psychology (23.6%). In Chile and Brazil, more than 85% of the studies were performed in Universities, in Mexico and Argentina in Hospitals and other organizations either public or private. Over 90% were published in Journals with ISI impact index. Conclusions: Random studies are rare in Latin America compared to developed countries, mostly conducted in Universities in few countries and focusing on pediatric topics of relevance to them. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01746433/full - - -Record #120 of 151 -ID: CN-01711912 -AU: Eisinga A -AU: Siegfried N -AU: Clarke M -TI: The sensitivity and precision of search terms in Phases I, II and III of the Cochrane Highly Sensitive Search Strategy for identifying reports of randomized trials in medline in a specific area of health care--HIV/AIDS prevention and treatment interventions -SO: Health information and libraries journal -YR: 2007 -VL: 24 -NO: 2 -PG: 103‐109 -PM: PUBMED 17584213 -XR: EMBASE 46946301 -PT: Journal article -KY: *Bibliometrics; *Human immunodeficiency virus infection /prevention /therapy; *Medical Subject Headings; *Medline; *bibliometrics; *randomized controlled trial; Abstracting and Indexing; Article; Clinical Trials, Phase I as Topic [statistics & numerical data]; Clinical Trials, Phase II as Topic [statistics & numerical data]; Clinical Trials, Phase III as Topic [statistics & numerical data]; Documentation; HIV Infections [prevention & control, *therapy]; Human; Humans; MEDLINE [*statistics & numerical data]; Methodology; Phase 1 clinical trial; Phase 2 clinical trial; Phase 3 clinical trial; Priority journal; Randomized Controlled Trials as Topic [*statistics & numerical data]; Reproducibility; Reproducibility of Results; Research Design; Sensitivity and Specificity; Sensitivity and specificity; Statistics; Utilization review -DOI: 10.1111/j.1471-1842.2007.00698.x -AB: OBJECTIVES: To detect term(s) in the Cochrane Highly Sensitive Search Strategy (HSSS) that retain high sensitivity but improve precision in retrieving reports of trials in the PubMed version of medline. METHODS: Individual terms from the PubMed version of the HSSS were added, term by term, to an African HIV/AIDS strategy to identify reports of trials in medline using PubMed. The titles and abstracts of the records retrieved were read by two handsearchers and checked by a clinical epidemiologist. The sensitivity and precision of each term in the three phases of the HSSS were calculated. RESULTS: Of 7,719 records retrieved, 285 were identified as reports of trials [204 randomized (RCTs); 81 possibly randomized or quasi‐randomized (CCTs)]. Phase III had the highest sensitivity (92%). Overall, precision was very low (3.7%). One term, 'random*[tw]', retrieved all RCTs found by our search and improved precision to 29%. The least sensitive terms, yielding no records, were '(doubl* AND mask*)[tw]' and terms containing 'trebl*' or 'tripl*', except for '(tripl* AND blind*)[tw]'. The highest precision per term was for 'Double‐blind Method [MeSH]' (76%). CONCLUSIONS: To retrieve all RCTs and CCTs found by our search, seven terms are needed but precision remains low (4.3%). Developments in the methods of search strategy design may help to improve precision while retaining high levels of sensitivity by identifying term(s) which occur frequently in relevant records and are the most efficient at discriminating between different study designs. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01711912/full - - -Record #121 of 151 -ID: CN-01786692 -AU: Lambers Heerspink HJ -AU: Knol MJ -AU: Tijssen RJ -AU: van Leeuwen TN -AU: Grobbee DE -AU: de Zeeuw D -TI: Is the randomized controlled drug trial in Europe lagging behind the USA? -SO: British journal of clinical pharmacology -YR: 2008 -VL: 66 -NO: 6 -PG: 774‐780 -PM: PUBMED 19032722 -XR: EMBASE 352720332 -PT: Journal article -KY: *drug screening; *randomized controlled trial; Article; Australia; Bibliometrics; Biomedical Research [*economics, organization & administration]; Clinical study; Data base; Drug Industry [*economics, organization & administration]; Drug industry; Europe; Female; Financing, Government [*economics, organization & administration]; Funding; Government; Humans; Japan; Linear Models; Male; Medical research; Medline; Periodicals as Topic [economics]; Pharmaceutical Preparations [*economics]; Population size; Priority journal; Publication; Qualitative analysis; Quantitative analysis; Randomized Controlled Trials as Topic [*economics]; Statistical analysis; United States -DOI: 10.1111/j.1365-2125.2008.03296.x -AB: AIMS: Performance of randomized controlled drug trials (drugRCTs) adds to the scientific output, scientific knowledge, scientific training and up‐to‐date status of healthcare and may drive economy. The purpose of this study was to benchmark Europe's position on drugRCTs relative to the rest of the world, and to identify factors that may drive this performance. METHODS: The number of scientific publications on drugRCTs, indexed in PubMed and Thomson Scientific/Web of Science database over the period 1995‐2004, was used as a proxy measure for the quantitative drugRCT output. The international citation impact of these publications was used as a proxy measure for the qualitative drugRCT output. RESULTS: Country's origin of 103 211 publications was determined. After adjustment for population size, the number of drugRCT publications from Europe, USA and Australia/Japan was 102, 124 and 44 publications per million inhabitants, respectively. The proportional increase in publication output from 1995 until 2004 was lower in Europe compared with the USA and Australia/Japan (29.1, 40.1 and 63.4%, respectively). The number of citations per publication was 4.9 in Europe, 7.0 in the USA and 3.4 in Australia/Japan. Within Europe, the UK, Germany and Italy produced most publications. Country‐specific factors associated with publication output in Europe were the number of pharmaceutical companies with headquarters in a country (R(2) = 0.71, P < 0.001), national R&D expenditures by pharmaceutical companies (R(2) = 0.63, P < 0.001) and health‐related R&D expenditures by national governments (R(2) = 0.22, P = 0.052). CONCLUSIONS: When adjusted for population size, quantitative and qualitative performance of drugRCTs in Europe lags behind the USA but is ahead of Australia/Japan. Several factors appear to explain the differences, among which are the number of headquarters of pharmaceutical companies in a country, the research expenditures by pharmaceutical companies, as well as health‐related R&D expenditures of a country. To enhance and strengthen Europe's position, researchers may strengthen their collaborations with local pharmaceutical companies, and national governments could increase their budgets for medical research funding. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01786692/full - - -Record #122 of 151 -ID: CN-01714834 -AU: McKibbon KA -AU: Wilczynski NL -AU: Haynes RB -TI: Retrieving randomized controlled trials from medline: a comparison of 38 published search filters -SO: Health information and libraries journal -YR: 2009 -VL: 26 -NO: 3 -PG: 187‐202 -PM: PUBMED 19712211 -XR: EMBASE 355177852 -PT: Journal article -KY: *Medline; *information retrieval; *randomized controlled trial; Abstracting and Indexing [*methods]; Article; Bibliographic database; Bibliometrics; Clinical research; Filter; Humans; Information Storage and Retrieval [*methods]; Library; MEDLINE; Medical Subject Headings; Medical research; Priority journal; Randomized Controlled Trials as Topic [*statistics & numerical data]; Reproducibility of Results; Research Design; Sensitivity and Specificity; Subject Headings; Terminology as Topic; United States -DOI: 10.1111/j.1471-1842.2008.00827.x -AB: BACKGROUND: People search medline for trials of healthcare interventions for clinical decisions, or to produce systematic reviews, practice guidelines, or technology assessments. Finding all relevant randomized controlled trials (RCTs) with little extraneous material is challenging. OBJECTIVE: To provide comparative data on the operating characteristics of search filters designed to retrieve RCTs from medline. METHODS: We identified 38 filters. The testing database comprises handsearching data from 161 clinical journals indexed in medline. Sensitivity, specificity and precision were calculated. RESULTS: The number of terms and operating characteristics varied considerably. Comparing the retrieval against the single term 'randomized controlled trials.pt.' (sensitivity for retrieving RCTs, 93.7%), 24 of 38 filters had statistically higher sensitivity; 6 had a sensitivity of at least 99.0%. Four other filters had specificities (non retrieval of non‐RCTs) that were statistically not different or better than the single term (97.6%). Precision was poor: only two filters had precision (proportion of retrieved articles that were RCTs) statistically similar to that of the single term (56.4%)‐all others were lower. Filters with more search terms often had lower specificity, especially at high sensitivities. CONCLUSION: Many RCT filters exist (n = 38). These comparative data can direct the choice of an RCT filter. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01714834/full - - -Record #123 of 151 -ID: CN-01785626 -AU: Gluud LL -AU: Sørensen TI -AU: Gøtzsche PC -AU: Gluud C -TI: The journal impact factor as a predictor of trial quality and outcomes: cohort study of hepatobiliary randomized clinical trials -SO: American journal of gastroenterology -YR: 2005 -VL: 100 -NO: 11 -PG: 2431‐2435 -PM: PUBMED 16279896 -XR: EMBASE 43919673 -PT: Journal article -KY: *hepatobiliary system; Alcohol liver cirrhosis; Article; Autoimmune disease; Bibliometrics; Biliary Tract Diseases; Clinical trial; Cohort Studies; Cohort analysis; Controlled clinical trial; Data Interpretation, Statistical; Gallstone; Hepatic encephalopathy; Hepatitis; Humans; Liver Diseases; Liver cell carcinoma; Liver cirrhosis; Liver failure; Medical literature; Outcome assessment; Patient Selection; Periodicals as Topic [*standards]; Portal hypertension; Primary biliary cirrhosis; Priority journal; Publication; Quality control; Random Allocation; Randomized Controlled Trials as Topic [*standards]; Randomized controlled trial; Research Design [standards]; Sample Size; Statistics, Nonparametric; Treatment Outcome -DOI: 10.1111/j.1572-0241.2005.00327.x -AB: OBJECTIVES: To examine the association between the impact factor and characteristics of hepatobiliary randomized clinical trials. METHODS: A cohort study of 530 hepatobiliary randomized clinical trials was performed. The journal impact factor was extracted from Science Citation Index. For each trial, we extracted the sample size, the quality of randomization and blinding methods, and the statistical significance of the primary outcome measure. RESULTS: The median sample size was 45 participants (interquartile range 25‐88). The allocation sequence generation was adequate in 273 trials (52%). Allocation concealment was adequate in 178 trials (34%). The primary outcome measure was statistically significant in 374 (71%) trials. Nonparametric analyses for trend indicated that the impact factor was significantly associated with the sample size (p < 0.01) and the proportion of trials with adequate allocation sequence generation (p < 0.01) or allocation concealment (p= 0.02). The impact factor was not significantly associated with the study outcome (p= 0.28). CONCLUSIONS: The present study supports the use of the impact factor as a rough quality indicator. However, even trials in high impact journals may be small or may have inadequate quality. Critical appraisal of individual trials is always necessary, irrespective of the place of publication. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01785626/full - - -Record #124 of 151 -ID: CN-01780146 -AU: Snodgrass SR -AU: Parks BR -TI: Anticonvulsant blood levels: historical review with a pediatric focus -SO: Journal of child neurology -YR: 2000 -VL: 15 -NO: 11 -PG: 734‐746 -PM: PUBMED 11108507 -XR: EMBASE 32057417 -PT: Journal article -KY: *benign childhood epilepsy /drug therapy; Adolescent; Anticonvulsants [blood, *history, pharmacokinetics, therapeutic use]; Article; Bibliometrics; Biological Availability; Child; Clinical feature; Clinical trial; Controlled clinical trial; Controlled study; Correlation function; Dose response; Dose‐Response Relationship, Drug; Double blind procedure; Double‐Blind Method; Drug Therapy, Combination; Drug blood level; Electroencephalogram; Epilepsy [blood, drug therapy, *history]; Female; History, 20th Century; Human; Humans; Major clinical study; Male; Patient Compliance; Pharmacodynamics; Priority journal; Randomized Controlled Trials as Topic [history]; Randomized controlled trial; Retrospective Studies; Side effect /side effect; Therapeutic Equivalency -DOI: 10.1177/088307380001501105 -AB: Epilepsy is heterogeneous and its treatment is often complicated by variable drug responses. Buchtal et al reported a close correlation between serum phenytoin levels, electroencephalographic findings, and clinical status in 1960. They suggested that physicians adjust dosage to attain a "therapeutic level." The concept was enthusiastically received. "Therapeutic serum levels" were proposed for most anticonvulsant drugs, and by 1975, most authorities believed that pharmacokinetic factors explained individual differences in drug response. However, Froscher found that measuring levels did not improve patient outcome. More recently, Schumacher's double‐blind study found no correlation between phenytoin levels and seizure control or adverse effects. Pharmacodynamic variables (differences in drug responsiveness) are more important than pharmacokinetic factors for many drugs, especially receptor‐active drugs. Pharmacokinetic variables were studied first, and led to a simplistic model. They are less significant than pharmacodynamic factors in the case of warfarin anticoagulation. Anticonvulsant levels can reveal noncompliance and pharmacokinetic differences. They say nothing about pharmacodynamics. Reports of "subtherapeutic levels" imply a need to increase dosage, but this is not supported by outcome data. We still lack evidence that specific drug levels are a valid intermediate target 40 years after Buchtal's paper. Responses to some anticonvulsants could depend primarily on pharmacokinetic factors, while pharmacodynamic factors could be supreme for others. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01780146/full - - -Record #125 of 151 -ID: CN-01783914 -AU: Papatheodorou SI -AU: Trikalinos TA -AU: Ioannidis JP -TI: Inflated numbers of authors over time have not been just due to increasing research complexity -SO: Journal of clinical epidemiology -YR: 2008 -VL: 61 -NO: 6 -PG: 546‐551 -PM: PUBMED 18471658 -XR: EMBASE 50087712 -PT: Journal article -KY: *author; *medical research; Article; Authorship; Bibliometrics; Biomedical Research [*trends]; Case report; Clinical study; Clinical trial; Europe; Humans; Medical Records [statistics & numerical data]; Medical literature; Meta analysis; North America; Periodicals as Topic [statistics & numerical data, trends]; Priority journal; Publishing [statistics & numerical data, trends]; Random sample; Randomization; Randomized Controlled Trials as Topic [statistics & numerical data, trends]; Randomized controlled trial; Sample size; Statistical significance -DOI: 10.1016/j.jclinepi.2007.07.017 -AB: OBJECTIVE: To examine trends in and determinants of the number of authors in clinical studies. STUDY DESIGN AND SETTING: We analyzed determinants of the number of authors in 633 articles of randomized trials and 313 articles of nonrandomized studies included in large meta‐analyses (seven and six topics, respectively). Analyses were adjusted for topic. We also evaluated 310 randomly sampled case reports that had an abstract and described a single case. RESULTS: After adjusting for topic and other determinants, for both randomized trials and nonrandomized studies, the number of authors increased by 0.8 per decade (P<0.001). Topic was a strong determinant of the number of authors; other independent factors included journal impact factor, multinational authorship, and (for randomized trials) article length and sample size. Trials from South Europe (+1.1 authors) and North America (+0.9) and nonrandomized studies from South Europe (+1.8) had more authors than studies from North Europe (P<0.001). For case reports, only geographic location and article length were significantly related with author numbers. CONCLUSION: The number of authors in articles of randomized and nonrandomized studies has increased over time, even after adjusting for the topic, size, and visibility of a study. The academic coinage of authorship may be suffering from inflation. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01783914/full - - -Record #126 of 151 -ID: CN-01721193 -AU: Gravel J -AU: Opatrny L -AU: Shapiro S -TI: The intention-to-treat approach in randomized controlled trials: are authors saying what they do and doing what they say? -SO: Clinical trials (London, England) -YR: 2007 -VL: 4 -NO: 4 -PG: 350‐356 -PM: PUBMED 17848496 -XR: EMBASE 47572267 -PT: Journal article -KY: *randomized controlled trial; *statistical analysis; Accuracy; Article; Bibliometrics; Cross‐Sectional Studies; Data Interpretation, Statistical; Ethics, Research; Follow up; Humans; Intention; Methodology; Observer Variation; Outcome Assessment, Health Care; Peer Review, Research; Priority journal; Publication Bias; Randomized Controlled Trials as Topic [ethics, *methods]; Reliability; Research Design; Sample Size; Standardization; Treatment Outcome -DOI: 10.1177/1740774507081223 -AB: BACKGROUND: Intention‐to‐treat (ITT) is an approach to the analysis of randomized controlled trials (RCT) in which patients are analyzed as randomized regardless of the treatment actually received. PURPOSE: To ascertain the proportion of RCT reporting the use of intention‐to‐treat and the accuracy of that report and to examine the distribution and analysis of missing data for the studies reporting an ITT analysis. METHOD: We conducted a cross‐sectional literature review of RCTs reported in 10 medical journals in 2002. All articles were assessed using a standardized form. Two evaluators independently reviewed a 10% sample of articles to assess reliability. Subsequently, one evaluator reviewed the remaining articles. The proportion of articles reporting the use of ITT was calculated. Among these, the proportion of articles that ;analyzed patients as randomized' and the proportion and analysis of missing data were evaluated using standardized definitions. RESULTS: Of the 403 articles, 249 (62%) reported the use of ITT. Among these, available patients were clearly analyzed as randomized in 192 (77%). Authors used a modified ITT in 23 (9%); clearly violated a major component of ITT in 17 (7%), and the approach used was unclear in 17 (7%). More than 60% of articles had missing data in their primary analysis. Few articles reported a strategy for missing data. The main reason for missing data was loss to follow‐up. LIMITATIONS: A single evaluator evaluated most articles, but the high concordance obtained during the inter‐rater evaluation suggests that the assessments were consistent. In addition, the small spectrum of journals limits generalizability. Finally, there could be a difference between what was reported and what was performed. CONCLUSIONS: This study emphasizes that authors use the label ;intention‐to‐treat' quite differently. The most common use refers to the analysis of all available subjects as randomized regardless of the missing data aspect. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01721193/full - - -Record #127 of 151 -ID: CN-01721871 -AU: Teoh DC -AU: Schramm B -TI: Changes in clinical research in anaesthesia and intensive care from 1974-2004 -SO: Anaesthesia and intensive care -YR: 2006 -VL: 34 -NO: 6 -PG: 753‐757 -PM: PUBMED 17183893 -XR: EMBASE 46023610 -PT: Journal article -KY: *anesthesia; *clinical research; *intensive care; Anesthesia [*statistics & numerical data, trends]; Animals; Bibliometrics; Biomedical Research [*statistics & numerical data, trends]; Chi square test; Chi‐Square Distribution; Clinical trial; Comparative study; Controlled clinical trial; Controlled study; Critical Care [*statistics & numerical data, trends]; Human; Humans; Intervention study; Longitudinal Studies; Medical education; Methodology; Periodicals as Topic [*statistics & numerical data, trends]; Quality control; Randomized controlled trial; Review; Systematic error; Systematic review; Total quality management -DOI: 10.1177/0310057X0603400614 -AB: The purpose was to identify how the quality of anaesthesia research has improved from articles published in Anaesthesia and Intensive Care over 25 years. Original papers were included during the periods 1974‐1978 and 2000‐2004. Each article was classified according to principal research designs and the two five‐year periods were compared. All interventional trials were evaluated according to the following a priori criteria: author number; ethics approval; informed consent; competing financial interest; eligibility criteria; sample size calculation; method of randomization; patients accounted for, blind assessment of outcome; adverse outcomes; statistical method stated; type I error; type II error; and anaesthetic department of origin. Comparisons of above criteria were made between the two groups using chi‐square test or Fischer's exact test. Two‐hundred‐and‐ninety‐two articles were reviewed in 1974‐1978 and 529 articles were reviewed in 2000‐2004. Animal/ laboratory articles decreased from 17.47% to 12.28% (P=0.05). Review articles decreased from 34.35% to 10.4% (P<0.0001). Descriptive trials increased from 28.4% to 52.72% (P<0.0001). Interventional trials increased from 18.84% to 22.31% (P=0.269). Uncontrolled clinical trials decreased from 27.27% to 12.71%, non‐randomized controlled trials decreased from 50.91% to 7.63%, and randomized controlled trials increased from 21.82% to 79.66% (P<0.0001). All interventional trials criteria improved and were statistically significant except competing financial interest, method of randomization, patients accounted for, and type II error. The quality of anaesthetic research has improved in Anaesthesia and Intensive Care over the past 30 years. However, there is still room for improvement. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01721871/full - - -Record #128 of 151 -ID: CN-01178021 -AU: Gabler NB -AU: Duan N -AU: Raneses E -AU: Suttner L -AU: Ciarametaro M -AU: Cooney E -AU: Dubois RW -AU: Halpern SD -AU: Kravitz RL -TI: No improvement in the reporting of clinical trial subgroup effects in high-impact general medical journals -SO: Trials -YR: 2016 -VL: 17 -NO: 1 -PG: 320 -PM: PUBMED 27423688 -XR: EMBASE 611210044 -PT: Journal article -KY: *funding; *patient decision making; *physician; *sample size; Bibliometrics; Clinical trial; Controlled clinical trial; Controlled study; Data Interpretation, Statistical; Human; Humans; Journal Impact Factor; Logistic Models; Logistic regression analysis; Models, Statistical; Multivariate Analysis; Odds Ratio; Periodicals as Topic [*statistics & numerical data]; Randomized Controlled Trials as Topic [methods, *statistics & numerical data]; Randomized controlled trial; Research Design [*statistics & numerical data]; Statistical model -DOI: 10.1186/s13063-016-1447-5 -AB: Background: When subgroup analyses are not correctly analyzed and reported, incorrect conclusions may be drawn, and inappropriate treatments provided. Despite the increased recognition of the importance of subgroup analysis, little information exists regarding the prevalence, appropriateness, and study characteristics that influence subgroup analysis. The objective of this study is to determine (1) if the use of subgroup analyses and multivariable risk indices has increased, (2) whether statistical methodology has improved over time, and (3) which study characteristics predict subgroup analysis. Methods: We randomly selected randomized controlled trials (RCTs) from five high‐impact general medical journals during three time periods. Data from these articles were abstracted in duplicate using standard forms and a standard protocol. Subgroup analysis was defined as reporting any subgroup effect. Appropriate methods for subgroup analysis included a formal test for heterogeneity or interaction across treatment‐by‐covariate groups. We used logistic regression to determine the variables significantly associated with any subgroup analysis or, among RCTs reporting subgroup analyses, using appropriate methodology. Results: The final sample of 416 articles reported 437 RCTs, of which 270 (62 %) reported subgroup analysis. Among these, 185 (69 %) used appropriate methods to conduct such analyses. Subgroup analysis was reported in 62, 55, and 67 % of the articles from 2007, 2010, and 2013, respectively. The percentage using appropriate methods decreased over the three time points from 77 % in 2007 to 63 % in 2013 (p < 0.05). Significant predictors of reporting subgroup analysis included industry funding (OR 1.94 (95 % CI 1.17, 3.21)), sample size (OR 1.98 per quintile (1.64, 2.40), and a significant primary outcome (OR 0.55 (0.33, 0.92)). The use of appropriate methods to conduct subgroup analysis decreased by year (OR 0.88 (0.76, 1.00)) and was less common with industry funding (OR 0.35 (0.18, 0.70)). Only 33 (18 %) of the RCTs examined subgroup effects using a multivariable risk index. Conclusions: While we found no significant increase in the reporting of subgroup analysis over time, our results show a significant decrease in the reporting of subgroup analyses using appropriate methods during recent years. Industry‐sponsored trials may more commonly report subgroup analyses, but without utilizing appropriate methods. Suboptimal reporting of subgroup effects may impact optimal physician‐patient decision‐making. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01178021/full - - -Record #129 of 151 -ID: CN-01773375 -AU: Royle P -AU: Milne R -TI: Literature searching for randomized controlled trials used in Cochrane reviews: rapid versus exhaustive searches -SO: International journal of technology assessment in health care -YR: 2003 -VL: 19 -NO: 4 -PG: 591‐603 -PM: PUBMED 15095765 -XR: EMBASE 38405633 -PT: Journal article -KY: *Review Literature as Topic; *medical literature; *medical research; Bibliometrics; Clinical trial; Cochrane Library; Comparative study; Controlled clinical trial; Controlled study; Data base; Databases, Bibliographic [statistics & numerical data]; Embase; Human; Information Storage and Retrieval [*methods, statistics & numerical data]; Medline; Meta‐Analysis as Topic; Quality control; Randomized Controlled Trials as Topic [classification, *statistics & numerical data]; Randomized controlled trial; Review; Technology Assessment, Biomedical [methods] -DOI: 10.1017/s0266462303000552 -AB: Objectives: To analyze sources searched in Cochrane reviews, to determine the proportion of trials included in reviews that are indexed in major databases, and to compare the quality of these trials with those from other sources. Methods: All new systematic reviews in the Cochrane Library, Issue1 2001, that were restricted to randomized controlled trials (RCTs) or quasi‐RCTs were selected. The sources searched in the reviews were recorded, and the trials included were checked to see whether they were indexed in four major databases. Trials not indexed were checked to determine how they could be identified. The quality of trials found in major databases was compared with those found from other sources. Results: The range in the number of databases searched per review ranged between one and twenty‐seven. The proportion of the trials in the four databases were Cochrane Controlled Trials Register= 78.5%, MEDLINE = 68.8%, Embase = 65.0%, and Science/Social Sciences Citation Index = 60.7%. Searching another twenty‐six databases after Cochrane Controlled Trials Register (CCTR), MEDLINE, and Embase only found 2.4% additional trials. There was no significant difference between trials found in the CCTR, MEDLINE, and Embase compared with other trials, with respect to adequate allocation concealment or sample size. Conclusions: There was a large variation between reviews in the exhaustiveness of the literature searches. CCTR was the single best source of RCTs. Additional database searching retrieved only a small percentage of extra trials. Contacting authors and manufacturers to find unpublished trials appeared to be a more effective method of obtaining the additional better quality trials. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01773375/full - - -Record #130 of 151 -ID: CN-01297758 -AU: Hajibandeh S -AU: Hajibandeh S -AU: Antoniou SA -AU: Antoniou GA -AU: Torella F -TI: Industry sponsorship and positive outcome in vascular and endovascular randomised trials -SO: VASA. Zeitschrift fur gefasskrankheiten -YR: 2017 -VL: 46 -NO: 1 -PG: 67‐68 -PM: PUBMED 27889961 -XR: EMBASE 614088144 -PT: Journal article -KY: *Research Design; *Research Support as Topic [ethics]; *controlled study; *endovascular surgery; Access to information; Bias; Bibliometrics; Citation analysis; Conflict of Interest; Controlled clinical trial; Endovascular Procedures [*economics, ethics]; Health Care Sector [*economics, ethics]; Human; Humans; Letter; Outcome assessment; Publication; Randomized Controlled Trials as Topic [*economics, ethics]; Randomized controlled trial; Randomized controlled trial (topic); Treatment Outcome; Vascular Surgical Procedures [*economics, ethics] -DOI: 10.1024/0301-1526/a000592 -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01297758/full - - -Record #131 of 151 -ID: CN-01773881 -AU: Barbui C -AU: Cipriani A -AU: Malvini L -AU: Tansella M -TI: Validity of the impact factor of journals as a measure of randomized controlled trial quality -SO: Journal of clinical psychiatry -YR: 2006 -VL: 67 -NO: 1 -PG: 37‐40 -PM: PUBMED 16426086 -XR: EMBASE 43213280 -PT: Journal article -KY: *health care quality; *medical research; Anxiety disorder /drug therapy; Article; Bibliometrics; Clinical trial; Cochrane Library; Controlled clinical trial; Controlled study; Databases, Bibliographic; Depression /drug therapy; Human; Humans; Measurement; Medical literature; Meta analysis; Neurosis /drug therapy; Peer Review, Research; Periodicals as Topic [*statistics & numerical data]; Priority journal; Publication; Publishing [*standards, statistics & numerical data]; Quality control; Randomized Controlled Trials as Topic [*standards, statistics & numerical data]; Randomized controlled trial; Reproducibility of Results; Research Design [*statistics & numerical data]; Systematic review; Validation study -DOI: 10.4088/jcp.v67n0106 -AB: OBJECTIVE: To assess whether the impact factor, a measure of the frequency with which journal articles are cited in the scientific literature, is a proxy measure of the quality of articles reporting the results of randomized controlled trials. METHOD: The quality of trials included in an ongoing Cochrane review concerned with the antidepressant fluoxetine was assessed using the Cochrane Collaboration Depression, Anxiety, and Neurosis quality assessment instrument, the Jadad scale, and the quality criterion of the Cochrane Collaboration Handbook. Journal impact factors were extracted from the Journal Citation Report. RESULTS: A total of 131 articles reported results from 132 clinical trials comparing fluoxetine with other antidepressants. The relationship between trial quality and the impact factor of journals where these studies were published, stratified by period of publication, revealed that journals with impact factors above 4 points published only trials with above‐average overall quality ratings, while journals with impact factors below 4 points published both high‐ and low‐quality trials. The Jadad scale revealed similar quality in trials published in journals with high, medium, and low impact factors (Pearson chi(2) = 0.298, p = .861), and the quality criterion of the Cochrane Collaboration Handbook showed unclear randomization in the majority of trials and in all 15 trials published in high‐impact factor journals (Pearson chi(2) = 4.678, p = .096). CONCLUSION: The impact factor of journals is not a valid measure of randomized controlled trial quality. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01773881/full - - -Record #132 of 151 -ID: CN-02142873 -AU: Pouliliou S -AU: Nikolaidis C -AU: Drosatos G -TI: Current trends in cancer immunotherapy: a literature-mining analysis -SO: Cancer immunology, immunotherapy -YR: 2020 -VL: 69 -NO: 12 -PG: 2425‐2439 -PM: PUBMED 32556496 -XR: EMBASE 2005252947 -PT: Journal article -KY: *Bibliometrics; *cancer immunotherapy; *data mining; Adaptive immunity; Antineoplastic Agents, Immunological [therapeutic use]; Apoptosis; Article; Bone marrow transplantation; Breast cancer; Cancer Vaccines [therapeutic use]; Cancer chemotherapy; Cancer diagnosis; Cancer gene therapy; Cancer immunization; Cancer immunology; Cancer prognosis; Cancer radiotherapy; Cancer research; Cancer stem cell; Cancer survival; Carcinogenesis; Cell adhesion; Cell metabolism; Central nervous system cancer; Chimeric antigen receptor T‐cell immunotherapy; Chronic lymphatic leukemia; Clinical research; Colorectal cancer; Cytotoxic T lymphocyte; Data Mining; Epigenetics; Flow cytometry; Gene expression; Gene mutation; Hematologic malignancy; Human; Humans; Immunohistochemistry; Immunotherapy [methods, *trends]; Lung cancer; Lymph node metastasis; Lymphoma; Melanoma; Mutation; Natural killer T cell; Neoplasms [genetics, immunology, *therapy]; Nonhuman; Papillomavirus Vaccines [therapeutic use]; Papillomavirus infection; Priority journal; Prostate cancer; PubMed [statistics & numerical data]; Radioimmunotherapy; Randomized Controlled Trials as Topic; Regulatory T lymphocyte; Signal transduction; Solid malignant neoplasm; Th1 cell; Th2 cell; Translational research; Tumor microenvironment; Tumor model; Tumor virus -DOI: 10.1007/s00262-020-02630-8 -AB: Cancer immunotherapy is a rapidly growing field that is completely transforming oncology care. Mining this knowledge base for biomedically important information is becoming increasingly challenging, due to the expanding number of scientific publications, and the dynamic evolution of this subject with time. In this study, we have employed a literature‐mining approach that was used to analyze the cancer immunotherapy‐related publications listed in PubMed and quantify emerging trends. A total of 93,033 publications published in 5055 journals have been retrieved, and 141 meaningful topics have been identified, which were further classified into eight distinct categories. Statistical analysis indicates a mean annual increase in the number of published papers of approximately 8% in the last 20 years. The research topics that exhibited the highest trends included "immune checkpoint inhibitors," "tumor microenvironment," "HPV vaccination," "CAR T‐cells," and "gene mutations/tumor profiling." The top identified cancer types included "lung," "colorectal," and "breast cancer," and a shift in popularity from hematological to solid tumors was observed. As regards clinical research, a transition from early phase clinical trials to randomized control trials was recorded, indicating that the field is entering a more advanced phase of development. Overall, this mining approach provided an unbiased analysis of the cancer immunotherapy literature in a time‐conserving and scale‐efficient manner. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02142873/full - - -Record #133 of 151 -ID: CN-01076277 -AU: Kerry R -AU: Arthur A -AU: Mumford S -TI: Scientific truth and physiotherapy trials: an empirical study of truth status in published controlled trial findings -SO: Physiotherapy (united kingdom) -YR: 2011 -VL: 97 -CC: Complementary Medicine -PG: eS603‐eS604 -XR: EMBASE 71882996 -PT: Journal article; Conference proceeding -KY: *controlled study; *empiricism; *evidence based practice; *human; *physiotherapy; Acupuncture; Bibliometrics; Carpal tunnel syndrome; Cerebrovascular accident; Confidence interval; Gold standard; Independent variable; Intention to treat analysis; Logistic regression analysis; Low back pain; Medicine; Model; Prediction; Probability; Randomized controlled trial; Rehabilitation; Risk; Standing; Systematic review (topic) -DOI: 10.1016/j.physio.2011.04.002 -AB: Purpose: To provide insight into the progress of physiotherapy science since the onset of controlled trial methods and the evidence based practice movement. Relevance: After almost 20 years of evidence based practice, we are in a position to examine the scientific progress of physiotherapy. Physiotherapy science assumes a positivist stance; presupposing an external truth. Research methods are used to approximate to this truth, the gold standard being the randomised controlled trial (RCT). As RCTs in physiotherapy improve in quality, physiotherapy science should progress towards a consistent truth. However, investigations into the truth status of RCTs in medical science suggest that a high proportion of trial findings are not consistent with truth (Ioannidis, JAMA 2005;294:218‐28). This project adapts Ioannidis's method to provide an empirical analysis of physiotherapy science by examining the truth status of physiotherapy trials. Participants: 93 published trials (1977‐2010) included in contemporaneous high quality clinical guidelines or systematic reviews concerning: cervical manipulation (n = 22); acupuncture for low back pain (n = 22); stroke rehabilitation (n = 13); interventions for carpal tunnel syndrome (n = 26), and manipulation for low back pain (n = 10). Methods: Independent variables relating to trial quality factors and bibliometrics were recorded and categorised into binary outcomes. Two definitions of 'truth' were used: ultimate‐truth (ULT) was determined using data from the most recent clinical guidelines and systematic reviews. Realtime‐ truth (RTT) was determined using data available at the time of each trial publication. Analysis: Individual trials were categorised as true or false based on their relationship to ULT and RTT. Percentages of true findings were calculated and plotted over time. Binary logistic regression models were computed for both ULT and RTT using all independent variables of trial quality. Bayesian Markov chain Monte Carlo (MCMC) analysis was used to predict probabilities of future trial truth status. Results: Proportions of true findings (ULT, RTT) were; cervical manipulation (50%, 32%), acupuncture for low back pain (68%, 55%), stroke rehabilitation (54%, 62%), interventions for carpal tunnel syndrome (35%, 46%), manipulation for low back pain (40%, 50%). Trends and regression outcomes were similar across topics. Based on combined data there were no temporal trends towards consistent truth. Good fitting regression models for ULT found one significant predictor for truth status (intention‐to‐treat analysis p = 0.05) in favour of false trial prediction. Models for RTT found no significant predictors. All odds ratios had wide confidence intervals. MCMC predictions for ≥60% of future trial chains being true were (ULT, RTT): sceptic prior (0.001%, 0.001%), uniform prior (5%, 2%) and enthusiastic prior (66%, 68%). Conclusions: In line with previous data, a high proportion of trial findings were not consistent with truth. The truth status of physiotherapy trials appears to be independent of time and quality variables. Most Bayesian prediction models reveal a low probability of future trial chains being true. Implications: This work raises questions about the progress and trajectory of physiotherapy science. These findings suggest reliance on trials to approximate to the truth maybe a tenuous stance. Future work should focus on concerns of epistemic risk within physiotherapy science. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01076277/full - - -Record #134 of 151 -ID: CN-01288584 -AU: Pandis N -AU: Fleming PS -AU: Koletsi D -AU: Hopewell S -TI: The citation of relevant systematic reviews and randomised trials in published reports of trial protocols -SO: Trials -YR: 2016 -VL: 17 -NO: 1 -PG: 581 -PM: PUBMED 27927219 -XR: EMBASE 613537855 -PT: Journal article -KY: *controlled study; Bibliometrics; Clinical Protocols; Conflict of interest; Controlled clinical trial; Editorial Policies; Evidence‐Based Medicine [standards, *statistics & numerical data]; Funding; Guideline Adherence [statistics & numerical data]; Guidelines as Topic; Human; Humans; Medline; Parallel design; Periodicals as Topic [standards, *statistics & numerical data]; Practice guideline; PubMed; Randomized Controlled Trials as Topic [standards, *statistics & numerical data]; Randomized controlled trial; Research Design [standards, *statistics & numerical data]; Study design; Systematic Reviews as Topic; Systematic review -DOI: 10.1186/s13063-016-1713-6 -AB: Background: It is important that planned randomised trials are justified and placed in the context of the available evidence. The SPIRIT guidelines for reporting clinical trial protocols recommend that a recent and relevant systematic review should be included. The aim of this study was to assess the use of the existing evidence in order to justify trial conduct. Methods: Protocols of randomised trials published over a 1‐month period (December 2015) indexed in PubMed were obtained. Data on trial characteristics relating to location, design, funding, conflict of interest and type of evidence included for trial justification was extracted in duplicate and independently by two investigators. The frequency of citation of previous research including relevant systematic reviews and randomised trials was assessed. Results: Overall, 101 protocols for RCTs were identified. Most proposed trials were parallel‐group (n = 74; 73.3%). Reference to an earlier systematic review with additional randomised trials was found in 9.9% (n = 10) of protocols and without additional trials in 30.7% (n = 31), while reference was made to randomised trials in isolation in 21.8% (n = 22). Explicit justification for the proposed randomised trial on the basis of being the first to address the research question was made in 17.8% (n = 18) of protocols. A randomised controlled trial was not cited in 10.9% (95% CI: 5.6, 18.7) (n = 11), while in 8.9% (95% CI: 4.2, 16.2) (n = 9) of the protocols a systematic review was cited but did not inform trial design. Conclusions: A relatively high percentage of protocols of randomised trials involves prior citation of randomised trials, systematic reviews or both. However, improvements are required to ensure that it is explicit that clinical trials are justified and shaped by contemporary best evidence. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01288584/full - - -Record #135 of 151 -ID: CN-01711161 -AU: Breau RH -AU: Gaboury I -AU: Scales CD -AU: Fesperman SF -AU: Watterson JD -AU: Dahm P -TI: Reporting of Harm in Randomized Controlled Trials Published in the Urological Literature -SO: Journal of urology -YR: 2010 -VL: 183 -NO: 5 -PG: 1693‐1697 -PM: PUBMED 20299044 -XR: EMBASE 50832883 -PT: Journal article -KY: *adverse drug reaction; *postoperative complication /complication; Article; Bibliometrics; Cancer chemotherapy; Clinical trial; Controlled clinical trial; Data Interpretation, Statistical; Decision Making; Disease severity; Evidence‐Based Medicine; Human; Humans; Iatrogenic Disease; Information Storage and Retrieval [methods]; Medical Records [standards]; Medical documentation; Medical literature; Periodicals as Topic [*standards]; Postoperative Complications; Priority journal; Quality Assurance, Health Care; Randomized Controlled Trials as Topic; Randomized controlled trial; Research Design [standards]; Systematic review; Terminology as Topic; Unspecified side effect /side effect; Urologic Surgical Procedures; Urologic surgery -DOI: 10.1016/j.juro.2010.01.030 -AB: PURPOSE: Evidence‐based decision making seeks to balance potential benefits and harms (adverse effects) of health care interventions for an individual patient. We determined the prevalence and completeness of harm reporting in randomized controlled trials in the urological literature. MATERIALS AND METHODS: We performed a systematic literature search of all randomized controlled trials of therapeutic interventions published in The Journal of Urology, Urology, European Urology and BJU International in 1996 and 2004. Each article was reviewed by 2 independent investigators for 10 harm reporting criteria recommended by the CONSORT group. Discrepancies were settled by discussion and consensus. RESULTS: A total of 152 randomized controlled trials met the inclusion criteria, of which 109 (72%) reported adverse event outcomes. The median number of harm reporting criteria satisfied improved marginally from 1996 to 2004 (2.8 to 3.3, p = 0.36). A large proportion of studies failed to address harm in the abstract (55, 36%), introduction (71, 47%) and discussion (52, 34%). Few studies specified which adverse events were evaluated (21, 14%), when harm information was collected (32, 21%) or how the harm was attributed to the intervention (5, 3%). Only 48 (32%) articles provided reasons for patient withdrawal and 1 in 5 (33, 22%) reported the severity of adverse events. CONCLUSIONS: Randomized controlled trials published in the urological literature contain significant deficiencies in adverse event reporting. These findings suggest the need for reporting standards for harm in urological journals. Improvements in adverse event reporting would permit a more balanced assessment of interventions and would enhance evidence‐based urological practice. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01711161/full - - -Record #136 of 151 -ID: CN-01743156 -AU: Terwee CB -AU: Jansma EP -AU: Riphagen II -AU: de Vet HC -TI: Development of a methodological PubMed search filter for finding studies on measurement properties of measurement instruments -SO: Quality of life research -YR: 2009 -VL: 18 -NO: 8 -PG: 1115‐1123 -PM: PUBMED 19711195 -XR: EMBASE 50625627 -PT: Journal article -KY: *evidence based practice; *quality of life; Accuracy; Article; Bibliometrics; Clinical Laboratory Techniques; Clinical trial; Confidence Intervals; Controlled clinical trial; Controlled study; Data Collection; Data Mining [*statistics & numerical data]; Evidence‐Based Medicine [*methods]; Health Status Indicators; Human; Humans; Information Storage and Retrieval; Medline; Priority journal; Psychometrics; PubMed; Quality of Life; Randomized controlled trial; Reference Standards; Risk factor; Sensitivity analysis; Sensitivity and Specificity; Software [*statistics & numerical data]; Surveys and Questionnaires -DOI: 10.1007/s11136-009-9528-5 -AB: Objectives: For the measurement of patient‐reported outcomes, such as (health‐related) quality of life, often many measurement instruments exist that intend to measure the same construct. To facilitate instrument selection, our aim was to develop a highly sensitive search filter for finding studies on measurement properties of measurement instruments in PubMed and a more precise search filter that needs less abstracts to be screened, but at a higher risk of missing relevant studies. Methods: A random sample of 10,000 PubMed records (01‐01‐1990 to 31‐12‐2006) was used as a gold standard. Studies on measurement properties were identified using an exclusion filter and hand searching. Search terms were selected from the relevant records in the gold standard as well as from 100 systematic reviews of measurement properties and combined based on sensitivity and precision. The performance of the filters was tested in the gold standard as well as in two validation sets, by calculating sensitivity, precision, specificity, and number needed to read. Results: We identified 116 studies on measurement properties in the gold standard. The sensitive search filter was able to retrieve 113 of these 116 studies (sensitivity 97.4%, precision 4.4%). The precise search filter had a sensitivity of 93.1% and a precision of 9.4%. Both filters performed very well in the validation sets. Conclusion: The use of these search filters will contribute to evidence‐based selection of measurement instruments in all medical fields. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01743156/full - - -Record #137 of 151 -ID: CN-01733364 -AU: Matar HE -AU: Almerie MQ -AU: Al Marhi MO -AU: Adams CE -TI: Over 50 years of trial in Acta Psychiatrica Scandinavica: a survey -SO: Trials -YR: 2009 -VL: 10 -PG: 35 -PM: PUBMED 19473502 -XR: EMBASE 354999797 -PT: Journal article -KY: *Bibliometrics; *Periodicals as Topic [standards, statistics & numerical data]; *Psychiatry [economics, standards, statistics & numerical data]; *Randomized Controlled Trials as Topic [economics, standards, statistics & numerical data]; *Research Design [standards, statistics & numerical data]; *clinical study; *psychiatry; *publication; Adult; Article; Child; Clinical trial; Content analysis; Controlled clinical trial; Depression /therapy; Electroconvulsive therapy; Europe; Female; Guideline Adherence; Guidelines as Topic; Human; Humans; Information dissemination; Information processing; MEDLINE; Male; Medline; Mental Disorders [*therapy]; Outcome assessment; Patient Selection; Patient satisfaction; Psychotherapy; Quality Control; Quality control; Quality of life; Randomized controlled trial; Research Support as Topic; Sample Size; Sample size; Scandinavia; Scandinavian and Nordic Countries; Schizophrenia; Time Factors; Treatment Outcome -DOI: 10.1186/1745-6215-10-35 -AB: BACKGROUND: Randomised controlled trials are the gold standard for evaluating mental health care interventions. We assessed the content and quality of trials published in Acta Psychiatrica Scandinavica and Supplementum since 1948. METHODS: All trials were identified manually, quality assessed, data extracted, and sought on Medline. RESULTS: About 8.6% of all reports in the journal were clinical trials (n = 582) with the peak frequency in the 1980s. Most originate from Europe (80%) and focus on depression (approximately 38%) or schizophrenia (27%). The median sample size is 44. We found only two trials that fully met the criteria of quality reporting RCTs set by CONSORT statements (0.34%) since 1996. Less than 50% of records were possible to identify by a Medline search using broad methodological terms. CONCLUSION: Acta is a major source of health trials. The standard of reporting is similar to other journals but better adherence to CONSORT would ensure higher quality of reports and better dissemination. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01733364/full - - -Record #138 of 151 -ID: CN-01709375 -AU: Clifford TJ -AU: Barrowman NJ -AU: Moher D -TI: Funding source, trial outcome and reporting quality: are they related? Results of a pilot study -SO: BMC health services research -YR: 2002 -VL: 2 -NO: 1 -PG: 18 -PM: PUBMED 12213183 -XR: EMBASE 36478026 -PT: Journal article -KY: *Treatment Outcome; *financial management; *medical research; *treatment outcome; Article; Bibliometrics; Conflict of Interest; Disclosure; Drug Evaluation [*economics, standards]; Drug Industry; Humans; Medical literature; Organizations, Nonprofit; Periodicals as Topic [*standards, statistics & numerical data]; Pilot Projects; Pilot study; Publication Bias; Quality Control; Quality control; Randomized Controlled Trials as Topic [*economics, standards]; Randomized controlled trial; Reliability; Research Design [*standards]; Research Support as Topic [classification, *statistics & numerical data]; Research ethics; Scoring system; Statistical significance -DOI: 10.1186/1472-6963-2-18 -AB: Background: There has been increasing concern regarding the potential effects of the commercialization of research. Methods: In order to examine the relationships between funding source, trial outcome and reporting quality, recent issues of five peer‐reviewed, high impact factor, general medical journals were hand‐searched to identify a sample of 100 randomized controlled trials (20 trials/journal). Relevant data, including funding source (industry/not‐for‐profit/mixed/not reported) and statistical significance of primary outcome (favouring new treatment/favouring conventional treatment/neutral/unclear), were abstracted. Quality scores were assigned using the Jadad scale and the adequacy of allocation concealment. Results: Sixty‐six percent of trials received some industry funding. Trial outcome was not associated with funding source (p= .461). There was a preponderance of favourable statistical conclusions among published trials with 67% reporting results that favored a new treatment whereas 6% favoured the conventional treatment. Quality scores were not associated with funding source or trial outcome. Conclusions: It is not known whether the absence of significant associations between funding source, trial outcome and reporting quality reflects a true absence of an association or is an artefact of inadequate statistical power, reliance on voluntary disclosure of funding information, a focus on trials recently published in the top medical journals, or some combination thereof. Continued and expanded monitoring of potential conflicts is recommended, particularly in light of new guidelines for disclosure that have been endorsed by the ICMJE. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01709375/full - - -Record #139 of 151 -ID: CN-02598837 -AU: Zyoud SH -AU: Shakhshir M -AU: Abushanab AS -AU: Koni A -AU: Shahwan M -AU: Jairoun AA -AU: Abu Taha A -AU: Al-Jabi SW -TI: Unveiling the hidden world of gut health: exploring cutting-edge research through visualizing randomized controlled trials on the gut microbiota -SO: World journal of clinical cases -YR: 2023 -VL: 11 -NO: 26 -PG: 6132‐6146 -PM: PUBMED 37731574 -PT: Journal article -DOI: 10.12998/wjcc.v11.i26.6132 -AB: BACKGROUND: The gut microbiota plays a crucial role in gastrointestinal and overall health. Randomized clinical trials (RCTs) play a crucial role in advancing our knowledge and evaluating the efficacy of therapeutic interventions targeting the gut microbiota. AIM: To conduct a comprehensive bibliometric analysis of the literature on RCTs involving the gut microbiota. METHODS: Using bibliometric tools, a descriptive cross‐sectional investigation was conducted on scholarly publications concentrated on RCTs related to gut microbiota, spanning the years 2003 to 2022. The study used VOSviewer version 1.6.9 to examine collaboration networks between different countries and evaluate the frequently employed terms in the titles and abstracts of the retrieved publications. The primary objective of this analysis was to identify key research areas and focal points associated with RCTs involving the gut microbiota. RESULTS: A total of 1061 relevant articles were identified from the 24758 research articles published between 2003 and 2022. The number of publications showed a notable increase over time, with a positive correlation (R2 = 0.978, P < 0.001). China (n = 276, 26.01%), the United States (n = 254, 23.94%), and the United Kingdom (n = 97, 9.14%) were the leading contributing countries. Københavns Universitet (n = 38, 3.58%) and Dankook University (n = 35, 3.30%) were the top active institutions. The co‐occurrence analysis shows current gut microbiota research trends and important topics, such as obesity interventions targeting the gut microbiota, the efficacy and safety of fecal microbiota transplantation, and the effects of dietary interventions on humans. CONCLUSION: The study highlights the rapid growth and importance of research on RCTs that involve the gut microbiota. This study provides valuable insight into research trends, identifies key players, and outlines potential future directions in this field. Additionally, the co‐occurrence analysis identified important topics that play a critical role in the advancement of science and provided insights into future research directions in this field. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02598837/full - - -Record #140 of 151 -ID: CN-01942241 -AU: Smith J -AU: De Tonnerre E -AU: Spencer W -AU: Date P -AU: Taylor D -TI: Temporal trends in the publication of emergency medicine original research -SO: EMA - emergency medicine australasia -YR: 2019 -VL: 31 -PG: 13 -XR: EMBASE 627392308 -PT: Journal article; Conference proceeding -KY: *emergency medicine; *publication; Adult; Chi square test; Cohort analysis; Conference abstract; Conflict of interest; Controlled study; Funding; Human; Male; Randomized controlled trial; Retrospective study; Rigor; Sample size -DOI: 10.1111/1742-6723.13239 -AB: Background: Little is known about publication trends in emergency medicine research, with most reports being outdated.1 Objective: To determine temporal trends of 31 article characteristics, over a 20 year period. Methods: We undertook a retrospective review of journals with the highest impact factors. Original research articles were included if they were published in AnnEmergMed, AcadEmergMed, EurJEmergMed or EMJ in 1997, 2002, 2007, 2012 or 2017. Full‐text search functions allowed abstraction of bibliometric data. Kruskal‐Wallis and Chi square tests were employed. Results: 1,413 articles were examined. Between 1997 and 2017, author numbers increased and male authors decreased (Table). There were also increases (P < 0.01) in acronyms (6.8%‐16.1%), funding reports (20.2%‐71.2%) and conflicts of interest reports (0%‐96.1%). Study design, statistical analysis and reporting became more sophisticated (Table). However, the proportion of randomised trials decreased and cohort studies increased. There were increases (P < 0.01) in median sample sizes (365 to 1368.5), data collection periods (172‐674.5 days) and reference numbers (18.7‐28.2). Conclusion: Original research has increased its methodological rigor and reporting standards. However, there remains considerable scope for improvement. (Table Presented). -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01942241/full - - -Record #141 of 151 -ID: CN-02642406 -AU: Kim CK -AU: Kim DH -AU: Lee MS -AU: Kim JI -AU: Wieland LS -AU: Shin BC -TI: Randomized controlled trials on complementary and traditional medicine in the korean literature -SO: Evidence-based complementary and alternative medicine : eCAM -YR: 2014 -VL: 2014 -PG: 194047 -PM: PUBMED 25628747 -PT: Journal article -DOI: 10.1155/2014/194047 -AB: Objective. This study aimed to identify all of the features of complementary and alternative (CAM) randomized controlled trials (RCTs) in the Korean literature and then introduce English‐speaking researchers to the bibliometric and risk of bias characteristics of this literature. Methods. Eleven electronic databases and sixteen Korean journals were searched to August 2013 for RCTs of CAM therapies. Key study characteristics were extracted and risk of bias was assessed using the Cochrane Collaboration's tool for assessing risk of bias. Results. Three hundred and sixty publications met our inclusion criteria. Complementary and traditional medicine RCTs in the Korean literature emerged in the mid‐1990s and increased in the mid‐2000s. The most common CAM interventions include acupuncture (59.4%) and herbal medicine (8.3%). The largest proportion of trials evaluated CAM for musculoskeletal conditions (20.7%). Adequate methods of randomization were reported in 41.7% of the RCTs, whereas only 8.3% reported adequate allocation concealment. A low proportion of trials reported participant blinding (34.2%) and outcome assessor blinding (22.5%). Conclusions. Korean CAM RCTs are typically omitted from systematic reviews resulting in the potential for language bias. This study will enable these trials of diverse quality to be identified and assessed for inclusion in future systematic reviews on CAM interventions. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02642406/full - - -Record #142 of 151 -ID: CN-02597272 -AU: Guo YL -AU: Gao M -AU: Li H -AU: Zhou RJ -AU: Xu G -AU: Tang WC -AU: Wen JL -AU: Li SX -TI: Current status and trend of acupuncture-moxibustion for myofascial pain syndrome: a visual analysis of knowledge graph based on CiteSpace and VOSviewer -SO: Zhongguo zhen jiu [Chinese acupuncture & moxibustion] -YR: 2023 -VL: 43 -NO: 9 -CC: Complementary Medicine -PG: 996‐1005 -PM: PUBMED 37697873 -PT: Journal article -KY: *Acupuncture Therapy; *Electroacupuncture; *Moxibustion; *Myofascial Pain Syndromes [therapy]; Humans; Pattern Recognition, Automated -DOI: 10.13703/j.0255-2930.20230119-k0002 -AB: Bibliometric and scientific knowledge graph methods were used to analyze the research status and hot spots of acupuncture‐moxibustion in treatment of myofascial pain syndrome (MPS) and explore its development trend. The articles of both Chinese and English versions relevant to MPS treated by acupuncture‐moxibustion were searched in CNKI, VIP, Wanfang, SinoMed and WOS from the database inception to March 20, 2023. Using Excel2016, CiteSpace6.2.R2 and VOSviewer1.6.18, the visual analysis was conducted by means of the cooperative network, keyword co‐occurrence, keyword timeline, keyword emergence, etc. From Chinese databases and WOS database, 910 Chinese articles and 300 English articles were included, respectively. The annual publication volume showed an overall rising trend. Literature output of English articles was concentrated in Spain, China, and the United States, of which, there was less cross‐regional cooperation. In the keyword analysis, regarding acupuncture‐moxibustion therapy, Chinese articles focused on "acupuncture", "electroacupuncture" and "acupotomy"; while, "dry needling" and "injection" were dominated for English one. Clinical study was the current hot spot in Chinese databases, in comparison, the randomized controlled double‐blind clinical trial was predominant in WOS. Both Chinese and English articles were limited in the report of mechanism research. The cooperation among research teams should be strengthened to conduct comparative research, dose‐effect research and effect mechanism research with different methods of acupuncture‐moxibustion involved so that the evidences can be provided for deeper exploration. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02597272/full - - -Record #143 of 151 -ID: CN-02784329 -AU: Li M -AU: Jiang X -AU: Gai X -AU: Dai M -AU: Li M -AU: Wang Y -AU: Wang H -TI: CiteSpace-based visual analysis on transcutaneous electrical acupoint stimulation of clinical randomized controlled trial studies and its mechanism on perioperative disorders -SO: Medicine -YR: 2024 -VL: 103 -NO: 41 -PG: e39893 -PM: PUBMED 39465871 -XR: CINAHL 180511192 -PT: Journal article -KY: *Acupuncture Points; *Randomized Controlled Trials as Topic; *Transcutaneous Electric Nerve Stimulation [methods]; Humans; Perioperative Care [methods] -DOI: 10.1097/MD.0000000000039893 -AB: To systematically present an overview of randomized controlled trials on transcutaneous electrical acupoint stimulation (TEAS) using bibliometric methods, and describe the role and mechanisms of TEAS in most prevalent diseases. Relevant literature was searched in China National Knowledge Infrastructure, Wanfang Data, VIP, SinoMed, PubMed, and Web of Science. The literature was imported and screened into NoteExpress, screened according to inclusion and exclusion criteria, and analyzed using Excel and CiteSpace 6.3R1 software. A total of 1296 documents were included. The number of publications increased annually after 2012. Junlu Wang was the most prolific author. The main research institutions were Peking University, The Third Affiliated Hospital of Zhejiang Chinese Medical University, Shuguang Hospital, and Tongde Hospital of Zhejiang Province. The research hotspots in this field include perioperative care, cancer, pain management, and stroke, primarily focusing on analgesia, immune enhancement, antihypertension, and reduction of gastrointestinal disorders. The main regulatory mechanisms of TEAS include the control of inflammation, oxidative stress, and regulation of the autonomic nervous system. TEAS is most widely used in the elderly, with PC6, ST36, and LI4 being the most frequently studied acupoints in clinical randomized controlled trials. The concept of accelerated rehabilitation is gradually being applied to TEAS, representing an emerging trend for future development. Clinical research on TEAS is rapidly developing, with a focus on applications in cancer and perioperative care. Future research should expand collaboration and conduct high‐level clinical and mechanistic studies, which will contribute to the development of standardized protocols and clinical practice. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02784329/full - - -Record #144 of 151 -ID: CN-02666472 -AU: Hawk LW -AU: Murphy TF -AU: Hartmann KE -AU: Burnett A -AU: Maguin E -TI: A randomized controlled trial of a team science intervention to enhance collaboration readiness and behavior among early career scholars in the Clinical and Translational Science Award network -SO: Journal of clinical and translational science -YR: 2024 -VL: 8 -NO: 1 -PG: e6 -PM: PUBMED 38384923 -PT: Journal article -DOI: 10.1017/cts.2023.692 -AB: INTRODUCTION: Despite the central importance of cross‐disciplinary collaboration in the Clinical and Translational Science Award (CTSA) network and the implementation of various programs designed to enhance collaboration, rigorous evidence for the efficacy of these approaches is lacking. We conducted a novel randomized controlled trial (RCT; ClinicalTrials.gov identifier: NCT05395286) of a promising approach to enhance collaboration readiness and behavior among 95 early career scholars from throughout the CTSA network. METHODS: Participants were randomly assigned (within two cohorts) to participate in an Innovation Lab, a week‐long immersive collaboration experience, or to a treatment‐as‐usual control group. Primary outcomes were change in metrics of self‐reported collaboration readiness (through 12‐month follow‐up) and objective collaboration network size from bibliometrics (through 21 months); secondary outcomes included self‐reported number of grants submitted and, among Innovation Lab participants only, reactions to the Lab experience (through 12 months). RESULTS: Short‐term reactions from Innovation Lab participants were quite positive, and controlled evidence for a beneficial impact of Innovation Labs over the control condition was observed in the self‐reported number of grant proposals in the intent‐to‐treat sample. Primary measures of collaboration readiness were near ceiling in both groups, limiting the ability to detect enhancement. Collaboration network size increased over time to a comparable degree in both groups. CONCLUSIONS: The findings highlight the need for systematic intervention development research to identify efficacious strategies that can be implemented throughout the CTSA network to better support the goal of enhanced cross‐disciplinary collaboration. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02666472/full - - -Record #145 of 151 -ID: CN-01940182 -AU: Lu C-L -AU: Li X -AU: Liu J-P -AU: Zhou H-M -AU: Zhang C -AU: Yang Y-Y -AU: Feng R-L -AU: Long C-J -AU: Deng F-Y -AU: Li J-C -AU: et al. -TI: Traditional Chinese Medicine in Cancer Care: an overview of randomized controlled trials published in Chinese -SO: Advances in integrative medicine -YR: 2019 -VL: 6 -PG: S108 -XR: EMBASE 2001763354 -PT: Journal article; Conference proceeding -KY: *Chinese medicine; *stomach cancer; Adult; Allopathy; Attention; Cancer patient; Clinical practice; Conference abstract; Controlled study; Drug combination; Female; General condition; Herbal medicine; Human; Lung cancer; Major clinical study; Male; Medline; Monotherapy; Publication; Quality of life; Randomized controlled trial; Satisfaction -DOI: 10.1016/j.aimed.2019.03.311 -AB: Background: Traditional Chinese medicine (TCM) has been widely integrated in cancer care in China. Large numbers of randomized controlled trials (RCTs) were published in Chinese literature, only did we report review since 2011. We aim to summarize the current evidence of relevant RCTs to support further clinical practice and research. Methods: Update was conducted in 4 main Chinese databases from the inception to June 2017 to identify RCTs. We bibliometrically analyzed the included RCTs and the research tendency of TCM for cancer. Results: 5835 RCTs (involving 477,150 participants) were included (Fig 1). Only 61 publications were indexed in MEDLINE. The top two cancer types treated were lung cancer and stomach cancer by study numbers and case numbers (Fig 2). 81.5% RCTs applied TCM combined with conventional treatment whilst 18.5% RCTs applied only TCM in treatment groups. Herbal medicine was the most frequently applied TCM therapy (5087 RCTs) (Table 1). 1237 RCTs reported multiple index as a composite outcome to measure cancer patients’ general condition. The most frequently reported outcome was clinical symptom improvement followed by quality of life, and biomarker indices (Fig 3). 4051 RCTs supported the better effect of TCM for cancer patients. Conclusions: Substantial data show different TCM treatments being applied either as monotherapy or in combination with conventional medicine for different cancer patients. It's significant to evaluate beneficial effect and safety of TCM treatments in the future. Real‐world research of TCM should pay more attention to patients’ quality of life and satisfaction. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01940182/full - - -Record #146 of 151 -ID: CN-02576213 -AU: Chander S -AU: Luhana S -AU: Sadarat F -AU: Leys L -AU: Parkash O -AU: Kumari R -TI: Gender and racial differences in first and senior authorship of high-impact critical care randomized controlled trial studies from 2000 to 2022 -SO: Annals of intensive care -YR: 2023 -VL: 13 -NO: 1 -PG: 56 -PM: PUBMED 37368060 -PT: Journal article -DOI: 10.1186/s13613-023-01157-2 -AB: BACKGROUND: Females and ethnic minorities are underrepresented in the first and senior authorships positions of academic publications. This stems from various structural and systemic inequalities and discrimination in the journal peer‐review process, as well as educational, institutional, and organizational cultures. METHODS: A retrospective bibliometric study design was used to investigate the representation of gender and racial/ethnic groups in the authorship of critical care randomized controlled trials in 12 high‐impact journals from 2000 to 2022. RESULTS: In the 1398 randomized controlled trials included in this study, only 24.61% of the first authors and 16.6% of the senior authors were female. Although female authorship increased during the study period, authorship was significantly higher for males throughout (Chi‐square for trend, p < 0.0001). The educational attainment [χ2(4) = 99.2, p < 0.0001] and the country of the author's affiliated institution [χ2(42) = 70.3, p = 0.0029] were significantly associated with gender. Male authorship was significantly more prevalent in 10 out of 12 journals analyzed in this study [χ2(11) = 110.1, p < 0.0001]. The most common race/ethnic group in our study population was White (85.1% women, 85.4% males), followed by Asians (14.3% females, 14.3% males). Although there was a significant increase in the number of non‐White authors between 2000 and 2022 [χ2(22) = 77.3, p < 0.0001], the trend was driven by an increase in non‐White male and not non‐White female authors. Race/ethnicity was significantly associated with the country of the author's affiliated institution [χ2(41) = 1107, p < 0.0001] but not with gender or educational attainment. CONCLUSIONS: Persistent gender and racial disparities in high‐impact medical and critical care journals underscore the need to revise policies and strategies to encourage greater diversity in critical care research. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02576213/full - - -Record #147 of 151 -ID: CN-02325658 -AU: Mohanty CR -AU: Bellapukonda S -AU: Mund M -AU: Behera BK -AU: Sahoo SS -TI: Analysis of publication speed of anesthesiology journals: a cross-sectional study -SO: Brazilian journal of anesthesiology -YR: 2021 -VL: 71 -NO: 2 -PG: 110‐115 -PM: PUBMED 33731261 -XR: EMBASE 635871639 -PT: Journal article -KY: *anesthesiology; *cross‐sectional study; *journal impact factor; *peer review; *velocity; Anesthesiology; Article; Controlled study; Cross‐Sectional Studies; Human; Medline; Periodicals as Topic; Randomized controlled trial; Retrospective Studies; Retrospective study -DOI: 10.1016/j.bjane.2021.02.025 -AB: BACKGROUND: Publication speed is one of the critical factors affecting authors' preference to a journal for manuscript submission. The publication time of submitted manuscripts varies across journals and specialty. OBJECTIVES: Several bibliometric studies in various fields of medicine, except in anesthesiology, have addressed the issue of publication speed and factors that influence the publication speed. We aimed to identify factors affecting the publication speed of indexed anesthesiology journals. METHOD: Overall, 25 anesthesiology journals indexed in MEDLINE database were retrospectively analyzed for the time required during different stages of publication process. A total of 12 original articles published in the year 2018 were randomly selected from each journal based on the number of issues. Time periods from submission to acceptance and from submission to publication were noted, and their association with impact factor (IF), advanced online publication (AOP), and article processing charges (APCs) were evaluated. RESULTS: The median time from submission to acceptance and from submission to publication for the selected journals were 120 (IQR [83‐167]) days and 186 (IQR [126‐246]) days, respectively. Publication speed was not found to have any correlation with IF and APC. However, journals with AOP required significantly lesser time for publication than those without AOP 138.5 and 240 days, respectively, (p�=� 0.011). Moreover, the IF of journals with AOP was significantly higher than that of journals without AOP (p�=� 0.002). CONCLUSION: The study provides an overview of total time required for peer review, acceptance, and publication in indexed anesthesiology journals. Researchers should focus on journals with AOP for expediting the publication process and avoiding publication delays. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02325658/full - - -Record #148 of 151 -ID: CN-02647042 -AU: Shaqman M -AU: Al-Abedalla K -AU: Wagner J -AU: Swede H -AU: Gunsolley JC -AU: Ioannidou E -TI: Reporting quality and spin in abstracts of randomized clinical trials of periodontal therapy and cardiovascular disease outcomes -SO: PloS one -YR: 2020 -VL: 15 -NO: 4 -PG: e0230843 -PM: PUBMED 32302309 -PT: Journal article -DOI: 10.1371/journal.pone.0230843 -AB: OBJECTIVE: Poor reporting in randomized clinical trial (RCT) abstracts reduces quality and misinforms readers. Spin, a biased presentation of findings, could frequently mislead clinicians to accept a clinical intervention despite non‐significant primary outcome. Therefore, good reporting practices and absence of spin enhances research quality. We aim to assess the reporting quality and spin in abstracts of RCTs evaluating the effect of periodontal therapy on cardiovascular (CVD) outcomes. METHODS: PubMed, Scopus, the Cochrane Central Register of Controlled Trials (CENTRAL), and 17 trial registration platforms were searched. Cohort, non‐randomized, non‐English studies, and pediatric studies were excluded. RCT abstracts were reviewed by 2 authors using the CONSORT for abstracts and spin checklists for data extraction. Cohen's Kappa statistic was used to assess inter‐rater agreement. Data on the selected RCT publication metrics were collected. Descriptive analysis was performed with non‐parametric methods. Correlation analysis between quality, spin and bibliometric parameters was conducted. RESULTS: 24 RCTs were selected for CONSORT analysis and 14 fulfilled the criteria for spin analysis. Several important RCT elements per CONSORT were neglected in the abstract including description of the study population (100%), explicitly stated primary outcome (87%), methods of randomization and blinding (100%), trial registration (87%). No RCT examined true outcomes (CVD events). A significant fraction of the abstracts appeared with at least one form of spin in the results and conclusions (86%) and claimed some treatment benefit in spite of non‐significant primary outcome (64%). High‐quality reporting had a significant positive correlation with reporting of trial registration (p = 0.04) and funding (p = 0.009). Spinning showed marginal negative correlation with reporting quality (p = 0.059). CONCLUSION: Poor adherence to the CONSORT guidelines and high levels of data spin were found in abstracts of RCTs exploring the effects of periodontal therapy on CVD outcomes. Our findings indicate that journal editors and reviewers should consider strict adherence to proper reporting guidelines to improve reporting quality and reduce waste. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02647042/full - - -Record #149 of 151 -ID: CN-01728197 -AU: Su C-X -AU: Zhang K -AU: Liang N -AU: Li W-Y -AU: Sun J -AU: Liu T-K -AU: Yue S-J -AU: Liu J-P -TI: Randomized clinical trials on acupuncture published in english: a systematic literature review -SO: Journal of alternative and complementary medicine (New York, N.Y.) -YR: 2016 -VL: 22 -NO: 6 -CC: Complementary Medicine -PG: A42‐A43 -XR: EMBASE 611808117 -PT: Journal article; Conference proceeding -KY: *acupuncture; China; Cochrane Library; Connective tissue disease; Controlled clinical trial; Controlled study; Embase; Human; Medline; Musculoskeletal disease; Parallel design; Publication; Randomized controlled trial; Registration; Safety; Systematic review -DOI: 10.1089/acm.2016.29003.abstracts -AB: Purpose: To systematically evaluate the characteristics and quality of randomized clinical trials (RCTs) on acupuncture published in English. Methods: We systematically searched PubMed, EMBASE and Cochrane Library from their inception to February 2014 to identify RCTs on acupuncture and to bibliometrically analyze the included trials. The methodological quality and reporting quality of RCTs were assessed using the Cochrane risk of bias tool and STRICTA, respectively. Results: A total of 855 RCTs (involving 109, 698 participants) were included and published from 1975 to 2014. The number of publications showed a sustained growth, especially after 2006. The included trials originated from 35 different countries, with major proportion from China (26.1%) and USA (13.2%). 39.5% RCTs were published in complementary and alternative medical journals and only 6.2% were in high rank Journals (impact factor >10). The majority were single‐center (65.9%), parallel‐group (91.7%), twoarms (69.1%), superiority design (81.2%) and placebo/sham‐controlled (58.8%). The most frequent condition was musculoskeletal and connective tissue diseases (21.8%). Only 111 (13.0%) provided the information on trial registration. 368 (43.0%) specified the primary and secondary outcome. 695 (81.3%) reported clinical relevant outcomes while only 20.7% and 6.1% reported safety and health‐economic outcomes, respectively. Generally, the methodology of included trials was insufficiently reported. Only 49.7%, 39.0%, 66.6% reported generation of allocation sequence, allocation concealment and blinding, respectively. Incomplete outcome reporting and selective outcome reporting existed in 10.8% and 14.7%, respectively. Furthermore, the reporting quality of acupuncture intervention was poor. Only three articles provided detailed information on all the items of STRICTA. The least reported item was“Extent to which treatment was varied”(14.4%). Conclusion: The quantity of RCTs on acupuncture is substantial and increasing, but the methodological quality and reporting quality of RCTs are generally suboptimal. Future RCTs on acupuncture would need to be reported based on the CONSORT and STRICTA Statements. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-01728197/full - - -Record #150 of 151 -ID: CN-02132700 -AU: Stokkeland K -AU: Wannerholt A -AU: Leifman A -AU: Franck J -AU: Soderman C -TI: MINIMAL ALCOHOL INTERVENTION IN PATIENTS WITH ESOPHAGEAL VARICES - A RANDOMIZED CONTROLLED TRIAL -SO: Gastroenterology -YR: 2020 -VL: 158 -NO: 6 -CC: Drugs and Alcohol -PG: S‐1474 -XR: EMBASE 2005916223 -PT: Journal article; Conference proceeding -KY: *esophagus varices; Addiction Severity Index; Adult; Alcohol liver disease; Alcoholism; Chronic liver disease; Clinical trial; Cohort analysis; Conference abstract; Controlled study; Female; Follow up; Gender; Human; Interview; Kaplan Meier method; Liver cirrhosis; Major clinical study; Male; Mortality; Outcome assessment; Private hospital; Psychiatric diagnosis; Randomization; Randomized controlled trial; Risk reduction; Statistical significance; Survival time -DOI: 10.1016/S0016-5085(20)34345-6 -AB: For patients with a chronic liver disease with affected liver function the pharmacological treatment alternatives are severely restricted because of the risk of accelerating liver failure. The treatment options for alcohol use disorder in chronic liver diseases are therefore currently mostly restricted to non‐pharmacological treatment. The non‐pharmacological strategies proposed to reduce excessive drinking regularly fall within the category of brief intervention. Esophageal varices occurs in 10‐15% of patients with compensated cirrhosis. When esophageal varices bleeds the 6‐weeks mortality is 15‐20%. The aim of our study was to study the impact of minimal intervention regarding alcohol consumption on mortality in patients with esophageal varices caused by chronic liver diseases. Methods: We randomized 99 patients with esophageal varices caused by chronic liver diseases from a Swedish private hospital. The study period was between November 2014 and July 2017. We excluded patients with severe psychiatric diagnoses and enchephalopaty that rendered interviewing impossible. Bibliometric and clinical data was recorded and patients were interviewed with Alcohol Use Disorder Test and Addiction Severity Index before randomization to brief intervention (n= 49) and no intervention (n=50). We followed all participants for 2 years with interviews regarding their alcohol use every 3 months. Our primary outcome for the study was mortality. Results: We found that 10 patients who received intervention deceased during follow‐up compared to 15 in the control group (RR=0.88, p=0.35). The mean survival time in the intervention group was 623.0 days (4‐730 days) compared to 621.6 days (16‐736 days). There were no significant differences between the intervention group and the control group when the groups were stratified for gender, alcoholic liver disease or non‐alcoholic liver disease. The survival is presented as a Kaplan‐Meier curve in figure 1 In conclusion we found a difference in survival between patients with esophageal varices caused by chronic liver diseases who had undergone minimal alcohol intervention compared to controls which did not reach statistical significance. The 12 % risk reduction might be caused by chance. A larger study cohort may elucidate the true role of brief intervention in patients with severe liver disease. -US: https://www.cochranelibrary.com/central/doi/10.1002/central/CN-02132700/full - - -Record #151 of 151 -ID: CN-02646220 -AU: Han M -AU: Lai L -AU: Li XX -AU: Zhao NQ -AU: Li J -AU: Xia Y -AU: Liu JP -TI: An Overview of the Randomized Placebo-Controlled Trials of Chinese Herbal Medicine Formula Granules -SO: Evidence-based complementary and alternative medicine : eCAM -YR: 2019 -VL: 2019 -CC: Complementary Medicine -PG: 6486293 -PM: PUBMED 31110552 -PT: Journal article -DOI: 10.1155/2019/6486293 -AB: OBJECTIVE: To summarize the characteristics and the outcomes of the Randomized Placebo‐Controlled Trials of Chinese Herbal Medicine Granules manufactured by China Resources Sanjiu Pharmaceutical Co., Ltd. METHODS: Databases including China National Knowledge Infrastructure, VIP, Wanfang, PubMed, Cochrane Library, and clinicaltrials.gov were searched in March 2018 for relevant randomized controlled trials (RCTs). Two reviewers independently screened for and selected studies, extracted data, and checked data extraction. Methodological quality was evaluated using the Cochrane Risk of Bias tool. For the outcome, the characteristics of the study, the cure rate, the effectiveness rate, and advert events were described with a method of bibliometrics. Also, we performed meta‐analysis only if there were ≥2 studies treated by the same intervention and evaluated by the same outcome. CONCLUSION: 16 of 19 studies treated by CHM granules only showed positive result in 7 diseases and negative result in 1 disease. 17 of 21 studies treated by combination therapy against conventional therapy showed positive result in 6 diseases and negative result in 3 diseases. However, both the absolute and relative effectiveness of CHM formula granules compared with placebo need to be considered clinically. RESULTS: A total of 40 placebo‐controlled RCTs treated for 17 diseases were included in our analysis involving 4,632 patients. 16 of 19 studies treated by CHM granules only showed positive result in patients with HBV, HCV, fever, depression, nonalcoholic fatty liver disease, AIDS, and asthma while negative result was shown in patients with migraine. 17 of 21 studies treated by combination therapy against conventional therapy showed positive result in patients with HBV, herpes simplex keratitis, COPD, liver cirrhotic ascites, Parkinson's disease, and diabetic peripheral neuropathy while negative result was shown in patients with myasthenia gravis, angina pectoris, and depression. The pooled result cannot demonstrate that the notifying kidney formula granules had the superior effect with placebo on the clearance of serum HBV DNA and HBeAg in HBV carriers with a RR (and the 95% CI) of 2.97 [0.74,11.91] and 1.99 [0.93,4.29], respectively. But, the CHM granules can reduce within‐group HBV DNA levels by more than 2 lgIU/ml; the RR (and 95% CI) was 4.64 [2.89,7.45]. Qizhu granules had a significant effect on clearance of HCV RNA with a RR (and 95% CI) of 6.26 [2.16,18.16]. And, the heat‐clearing and detoxifying formula granules were superior to placebo in resolution of cold symptom among patients with fever with a RR and 95% CI of 2.58 [1.40,4.74]. Based on the conventional therapy, the pooled result demonstrated that the Regulating liver formula granules were superior to placebo on the clearance of serum HBeAg in chronic hepatitis B patients with a RR (and the 95% CI) of 1.73 [1.30,2.31]. The EeChen decoction granules were superior to placebo in COPD patients with a RR (and the 95% CI) of 1.13 [1.06,1.22]. 28 of the 40 studies reported adverse events. There were 51 adverse events in CHM formula granules group or combination group (n=2,483) and 26 in control group (n=2,122) totally. 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