Evidence map›Paper›PMID 37962883›Full record

ReviewJAMA network open2023

Industry Involvement and Transparency in the Most Cited Clinical Trials, 2019-2022.

Leonardo M Siena, Lazaros Papamanolis, Maximilian J Siebert, Rosa Katia Bellomo, John P A Ioannidis

Open access · goldAbstract readReview
In one paragraph

Review in JAMA network open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 1 pooled it
12.6field-weighted citation impact, top 1% of its field
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

24 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Structural barriers to antifungal drug development.Frontiers in cellular and infection microbiology · 2026
    Review
  10. Article
  11. The Paradox of Clinical Guidelines: Reflections on Consensus and Evidence.Cardiovascular and interventional radiology · 2025
    Article
  12. Review
  13. Article
  14. The Current Landscape of Clinical Trials.Journal of clinical medicine · 2025
    Article
  15. Article
  16. Article
  17. Article
  18. Information on medicines: Does independence from industry influence matter?African journal of primary health care & family medicine · 2024
    Article
  19. Article
  20. 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

5 authors at 3 institutions in 2 countries.

Leonardo M SienaDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy.
Lazaros PapamanolisMeta-Research Innovation Center at Stanford, Stanford University, Stanford, California.
Maximilian J SiebertMeta-Research Innovation Center at Stanford, Stanford University, Stanford, California.
Rosa Katia BellomoDepartment of Public Health and Infectious Diseases, Sapienza University of Rome, Rome, Italy.
John P A IoannidisMeta-Research Innovation Center at Stanford, Stanford University, Stanford, California.
Stanford University · USInnovative Research (United States) · USSapienza University of Rome · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Industry involvement is prominent in influential clinical trials, and commitments to transparency of trials are highly variable. Objective: To evaluate the modes of industry involvement and the transparency features of the most cited recent clinical trials across medicine. Design, Setting, and Participants: This cross-sectional study was a meta-research assessment including randomized and nonrandomized clinical trials published in 2019 or later. The 600 trials of any type of disease or setting that attracted highest number of citations in Scopus as of December 2022 were selected for analysis. Data were analyzed from March to September 2023. Main Outcomes and Measures: Outcomes of interest were industry involvement (sponsor, author, and analyst) and transparency (protocols, statistical analysis plans, and data and code availability). Results: Among 600 trials with a median (IQR) sample size of 415 (124-1046) participants assessed, 409 (68.2%) had industry funding and 303 (50.5%) were exclusively industry-funded. A total of 354 trials (59.0%) had industry authors, with 280 trials (46.6%) involving industry analysts and 125 trials (20.8%) analyzed exclusively by industry analysts. Among industry-funded trials, 364 (89.0%) reached conclusions favoring the sponsor. Most trials (478 trials [79.7%]) provided a data availability statement, and most indicated intention to share the data, but only 16 trials (2.7%) had data already readily available to others. More than three-quarters of trials had full protocols (482 trials [82.0%]) or statistical analysis plans (446 trials [74.3%]) available, but only 27 trials (4.5%) explicitly mentioned sharing analysis code (8 readily available; 19 on request). Randomized trials were more likely than nonrandomized studies to involve only industry analysts (107 trials [22.9%] vs 18 trials [13.6%]; P = .02) and to have full protocols (405 studies [86.5%] vs 87 studies [65.9%]; P < .001) and statistical analysis plans (373 studies [79.7%] vs 73 studies [55.3%]; P < .001) available. Almost all nonrandomized industry-funded studies (90 of 92 studies [97.8%]) favored the sponsor. Among industry-funded trials, exclusive industry funding (odds ratio, 2.9; 95% CI, 1.5-5.4) and industry-affiliated authors (odds ratio, 2.9; 95% CI, 1.5-5.6) were associated with favorable conclusions for the sponsor. Conclusions and Relevance: This cross-sectional study illustrates how industry involvement in the most influential clinical trials was prominent not only for funding, but also authorship and provision of analysts and was associated with conclusions favoring the sponsor. While most influential trials reported that they planned to share data and make both protocols and statistical analysis plans available, raw data and code were rarely readily available.

Indexed as

AuthorshipMedicineCross-Sectional StudiesHumansIndustryIntention

Identifiers

PMID37962883
PMCPMC10646728
OpenAlexW4388654087

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.