Evidence map›Paper›PMID 37562729›Full record

ArticleJournal of clinical epidemiology2023

Methodology reporting improved over time in 176,469 randomized controlled trials.

Halil Kilicoglu, Lan Jiang, Linh Hoang, Evan Mayo-Wilson, Christiaan H Vinkers, Willem M Otte

Abstract read
In one paragraph

Article in Journal of clinical epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Halil KilicogluSchool of Information Sciences, University of Illinois Urbana-Champaign, Champaign, IL, USA. Electronic address: halil@illinois.edu.
Lan JiangSchool of Information Sciences, University of Illinois Urbana-Champaign, Champaign, IL, USA.
Linh HoangSchool of Information Sciences, University of Illinois Urbana-Champaign, Champaign, IL, USA.
Evan Mayo-WilsonDepartment of Epidemiology, University of North Carolina School of Global Public Health, Chapel Hill, NC, USA.
Christiaan H VinkersDepartment of Psychiatry and Anatomy & Neurosciences, Amsterdam University Medical Center Location Vrije Universiteit Amsterdam, 1081 HV, Amsterdam, The Netherlands; Amsterdam Public Health, Mental Health Program and Amsterdam Neuroscience, Mood, Anxiety, Psychosis, Sleep & Stress Program, Amsterdam, The Netherlands; GGZ inGeest Mental Health Care, 1081 HJ, Amsterdam, The Netherlands.
Willem M OtteDepartment of Child Neurology, UMC Utrecht Brain Center, University Medical Center Utrecht, and Utrecht University, Utrecht, The Netherlands.

Funding

Computational Methods, Resources, and Tools to Assess Transparency and Rigor of Randomized Clinical TrialsR01LM014079 · NLM · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI KILICOGLU, HALIL, MAYO-WILSON, EVAN · 2022 to 2025
$1.3M
NLM NIH HHS R01 LM014079
6 · The paper itself

Abstract

objectivesTo describe randomized controlled trial (RCT) methodology reporting over time. STUDY DESIGN AND

settingWe used a deep learning-based sentence classification model based on the Consolidated Standards of Reporting Trials (CONSORT) statement, considered minimum requirements for reporting RCTs. We included 176,469 RCT reports published between 1966 and 2018. We analyzed the reporting trends over 5-year time periods, grouping trials from 1966 to 1990 in a single stratum. We also explored the effect of journal impact factor (JIF) and medical discipline.

resultsPopulation, Intervention, Comparator, Outcome (PICO) items were commonly reported during each period, and reporting increased over time (e.g., interventions: 79.1% during 1966-1990 to 87.5% during 2010-2018). Reporting of some methods information has increased, although there is room for improvement (e.g., sequence generation: 10.8-41.8%). Some items are reported infrequently (e.g., allocation concealment: 5.1-19.3%). The number of items reported and JIF are weakly correlated (Pearson's r (162,702) = 0.16, P < 0.001). The differences in the proportion of items reported between disciplines are small (<10%).

conclusionOur analysis provides large-scale quantitative support for the hypothesis that RCT methodology reporting has improved over time. Extending these models to all CONSORT items could facilitate compliance checking during manuscript authoring and peer review, and support metaresearch.

Indexed as

Journal Impact FactorPublicationsHumansRandomized Controlled Trials as TopicReference StandardsCONSORTMachine learningMeta-researchRandomized controlled trialsReporting guidelinesText mining

Identifiers

PMID37562729
PMCPMC10829891

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.