Evidence map›Paper›PMID 36705921›Full record

SynthesisJAMA network open2023

Comparison of Preprint Postings of Randomized Clinical Trials on COVID-19 and Corresponding Published Journal Articles: A Systematic Review.

Anthony D Bai, Yunbo Jiang, David L Nguyen, Carson K L Lo, Isabella Stefanova, Kevin Guo, Frank Wang, Cindy Zhang, Kyle Sayeau, Akhil Garg and 1 more

Abstract readSystematic Review
In one paragraph

Synthesis 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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Making Drug Approval Decisions in the Face of Uncertainty: Cumulative Evidence versus Value of Information.Medical decision making : an international journal of the Society for Medical Decision Making · 2024
    Article
  6. 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

11 authors.

Anthony D BaiDivision of Infectious Diseases, Department of Medicine, Queen's University, Kingston, Ontario, Canada.
Yunbo JiangFaculty of Health Sciences, Queen's University, Kingston, Ontario, Canada.
David L NguyenFaculty of Health Sciences, Queen's University, Kingston, Ontario, Canada.
Carson K L LoDivision of Infectious Diseases, Department of Medicine, University of Toronto, Toronto, Ontario, Canada.
Isabella StefanovaDepartment of Medicine, McMaster University, Hamilton, Ontario, Canada.
Kevin GuoFaculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada.
Frank WangFaculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada.
Cindy ZhangFaculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada.
Kyle SayeauMental Health and Addictions Care Program, Kingston Health Sciences Centre, Kingston, Ontario, Canada.
Akhil GargDepartment of Medicine, Queen's University, Kingston, Ontario, Canada.
Mark LoebDivision of Infectious Diseases, Department of Medicine, McMaster University, Hamilton, Ontario, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Randomized clinical trials (RCTs) on COVID-19 are increasingly being posted as preprints before publication in a scientific, peer-reviewed journal. Objective: To assess time to journal publication for COVID-19 RCT preprints and to compare differences between pairs of preprints and corresponding journal articles. Evidence Review: This systematic review used a meta-epidemiologic approach to conduct a literature search using the World Health Organization COVID-19 database and Embase to identify preprints published between January 1 and December 31, 2021. This review included RCTs with human participants and research questions regarding the treatment or prevention of COVID-19. For each preprint, a literature search was done to locate the corresponding journal article. Two independent reviewers read the full text, extracted data, and assessed risk of bias using the Cochrane Risk of Bias 2 tool. Time to publication was analyzed using a Cox proportional hazards regression model. Differences between preprint and journal article pairs in terms of outcomes, analyses, results, or conclusions were described. Statistical analysis was performed on October 17, 2022. Findings: This study included 152 preprints. As of October 1, 2022, 119 of 152 preprints (78.3%) had been published in journals. The median time to publication was 186 days (range, 17-407 days). In a multivariable model, larger sample size and low risk of bias were associated with journal publication. With a sample size of less than 200 as the reference, sample sizes of 201 to 1000 and greater than 1000 had hazard ratios (HRs) of 1.23 (95% CI, 0.80-1.91) and 2.19 (95% CI, 1.36-3.53) for publication, respectively. With high risk of bias as the reference, medium-risk articles with some concerns for bias had an HR of 1.77 (95% CI, 1.02-3.09); those with a low risk of bias had an HR of 3.01 (95% CI, 1.71-5.30). Of the 119 published preprints, there were differences in terms of outcomes, analyses, results, or conclusions in 65 studies (54.6%). The main conclusion in the preprint contradicted the conclusion in the journal article for 2 studies (1.7%). Conclusions and Relevance: These findings suggest that there is a substantial time lag from preprint posting to journal publication. Preprints with smaller sample sizes and high risk of bias were less likely to be published. Finally, although differences in terms of outcomes, analyses, results, or conclusions were observed for preprint and journal article pairs in most studies, the main conclusion remained consistent for the majority of studies.

Indexed as

COVID-19BiasHumansRandomized Controlled Trials as TopicResearch DesignSample Size

Identifiers

PMID36705921
PMCPMC12543410

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.