Evidence map›Paper›PMID 35544426›Full record

ArticleJMIR public health and surveillance2022

Publication and Impact of Preprints Included in the First 100 Editions of the CDC COVID-19 Science Update: Content Analysis.

Jeremy Otridge, Cynthia L Ogden, Kyle T Bernstein, Martha Knuth, Julie Fishman, John T Brooks

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Public health reports (Washington, D.C. : 1974)
    Article
  7. COVID-19 Response of the JournalPublic health reports (Washington, D.C. : 1974)
    Review
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.

Jeremy Otridge *Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0001-6219-2069
Cynthia L Ogden *Centers for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0003-1147-7157
Kyle T BernsteinCenters for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0001-8455-899X
Martha KnuthCenters for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0003-4264-1642
Julie FishmanCenters for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0003-3786-0605
John T BrooksCenters for Disease Control and Prevention, Atlanta, GA, United States.ORCID 0000-0002-2399-3389

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPreprints are publicly available manuscripts posted to various servers that have not been peer reviewed. Although preprints have existed since 1961, they have gained increased popularity during the COVID-19 pandemic due to the need for immediate, relevant information.

objectiveThe aim of this study is to evaluate the publication rate and impact of preprints included in the Centers for Disease Control and Prevention (CDC) COVID-19 Science Update and assess the performance of the COVID-19 Science Update team in selecting impactful preprints.

methodsAll preprints in the first 100 editions (April 1, 2020, to July 30, 2021) of the Science Update were included in the study. Preprints that were not published were categorized as "unpublished preprints." Preprints that were subsequently published exist in 2 versions (in a peer-reviewed journal and on the original preprint server), which were analyzed separately and referred to as "peer-reviewed preprint" and "original preprint," respectively. Time to publish was the time interval between the date on which a preprint was first posted and the date on which it was first available as a peer-reviewed article. Impact was quantified by Altmetric Attention Score and citation count for all available manuscripts on August 6, 2021. Preprints were analyzed by publication status, publication rate, preprint server, and time to publication.

resultsOf the 275 preprints included in the CDC COVID-19 Science Update during the study period, most came from three servers: medRxiv (n=201, 73.1%), bioRxiv (n=41, 14.9%), and SSRN (n=25, 9.1%), with 8 (2.9%) coming from other sources. Additionally, 152 (55.3%) were eventually published. The median time to publish was 2.3 (IQR 1.4-3.7). When preprints posted in the last 2.3 months were excluded (to account for the time to publish), the publication rate was 67.8%. Moreover, 76 journals published at least one preprint from the CDC COVID-19 Science Update, and 18 journals published at least three. The median Altmetric Attention Score for unpublished preprints (n=123, 44.7%) was 146 (IQR 22-552) with a median citation count of 2 (IQR 0-8); for original preprints (n=152, 55.2%), these values were 212 (IQR 22-1164) and 14 (IQR 2-40), respectively; for peer-review preprints, these values were 265 (IQR 29-1896) and 19 (IQR 3-101), respectively.

conclusionsPrior studies of COVID-19 preprints found publication rates between 5.4% and 21.1%. Preprints included in the CDC COVID-19 Science Update were published at a higher rate than overall COVID-19 preprints, and those that were ultimately published were published within months and received higher attention scores than unpublished preprints. These findings indicate that the Science Update process for selecting preprints had a high fidelity in terms of their likelihood to be published and their impact. The incorporation of high-quality preprints into the CDC COVID-19 Science Update improves this activity's capacity to inform meaningful public health decision-making.

Indexed as

COVID-19Centers for Disease Control and Prevention, U.S.HumansPandemicsPreprints as TopicUnited StatesAltmetricAltmetric attention scoreattention scorebioRxivCDCCenters for Disease Control and Preventioncitationcitation countCOVID-19decision-makinghealth informationmedRxivpandemicpreprintpreprintspreprint serverpublicationpublic healthpublishpublishingscience update

Identifiers

PMID35544426
PMCPMC9290333

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.