Evidence map›Paper›PMID 35104285›Full record

ArticlePLoS biology2022

Tracking changes between preprint posting and journal publication during a pandemic.

Liam Brierley, Federico Nanni, Jessica K Polka, Gautam Dey, Máté Pálfy, Nicholas Fraser, Jonathon Alexis Coates

Abstract read
In one paragraph

Article in PLoS biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 2 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

34 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Prediction of transformative breakthroughs in biomedical research.bioRxiv : the preprint server for biology · 2025
    Article
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  7. Review
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  20. Predicting substantive biomedical citations without full text.Proceedings of the National Academy of Sciences of the United States of America · 2023
    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

7 authors.

Liam BrierleyDepartment of Health Data Science, University of Liverpool, Liverpool, United Kingdom.ORCID 0000-0002-3026-4723
Federico NanniThe Alan Turing Institute, London, United Kingdom.ORCID 0000-0003-2484-4331
Jessica K PolkaASAPbio, San Francisco, California, United States of America.ORCID 0000-0001-6610-9293
Gautam DeyCell Biology and Biophysics Unit, European Molecular Biology Laboratory, Heidelberg, Germany.ORCID 0000-0003-1416-6223
Máté PálfyThe Company of Biologists, Histon, Cambridge, United Kingdom.ORCID 0000-0003-2532-9438
Nicholas FraserLeibniz Information Centre for Economics, Leibniz, Germany.ORCID 0000-0002-7582-6339
Jonathon Alexis CoatesWilliam Harvey Research Institute, Barts and the London School of Medicine and Dentistry Queen Mary University of London, London, United Kingdom.ORCID 0000-0001-9039-9219

Funding

Medical Research Council MR/T027355/1
6 · The paper itself

Abstract

Amid the Coronavirus Disease 2019 (COVID-19) pandemic, preprints in the biomedical sciences are being posted and accessed at unprecedented rates, drawing widespread attention from the general public, press, and policymakers for the first time. This phenomenon has sharpened long-standing questions about the reliability of information shared prior to journal peer review. Does the information shared in preprints typically withstand the scrutiny of peer review, or are conclusions likely to change in the version of record? We assessed preprints from bioRxiv and medRxiv that had been posted and subsequently published in a journal through April 30, 2020, representing the initial phase of the pandemic response. We utilised a combination of automatic and manual annotations to quantify how an article changed between the preprinted and published version. We found that the total number of figure panels and tables changed little between preprint and published articles. Moreover, the conclusions of 7.2% of non-COVID-19-related and 17.2% of COVID-19-related abstracts undergo a discrete change by the time of publication, but the majority of these changes do not qualitatively change the conclusions of the paper.

Indexed as

COVID-19HumansInformation DisseminationPandemicsPeer Review, ResearchPeriodicals as TopicPublicationsPublishingSARS-CoV-2

Identifiers

PMID35104285
PMCPMC8806067

What OpenQuestion 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 OpenQuestion graph.