A systematic review of whether COVID-19 randomized controlled trials reported on demographic and clinical characteristics.


Journal

Pharmacoepidemiology and drug safety
ISSN: 1099-1557
Titre abrégé: Pharmacoepidemiol Drug Saf
Pays: England
ID NLM: 9208369

Informations de publication

Date de publication:
12 2022
Historique:
revised: 18 06 2022
received: 17 01 2022
accepted: 19 08 2022
pubmed: 24 8 2022
medline: 7 12 2022
entrez: 23 8 2022
Statut: ppublish

Résumé

We aim to assess the reporting of key patient-level demographic and clinical characteristics among COVID-19 related randomized controlled trials (RCTs). We queried English-language articles from PubMed, Web of Science, clinicaltrials.gov, and the CDC library of gray literature databases using keywords of "coronavirus," "covid," "clinical trial" and "randomized controlled trial" from January 2020 to June 2021. From the search, we conducted an initial review to rule-out duplicate entries, identify those that met inclusion criteria (i.e., had results), and exclude those that did not meet the definition of an RCT. Lastly, we abstracted the demographic and clinical characteristics reported on within each RCT. From the initial 43 627 manuscripts, our final eligible manuscripts consisted of 149 RCTs described in 137 articles. Most of the RCTs (113/149) studied potential treatments, while fewer studied vaccines (29), prophylaxis strategies (5), and interventions to prevent transmission among those infected (2). Study populations ranged from 10 to 38 206 participants (median = 100, IQR: 60-300). All 149 RCTs reported on age, 147 on sex, 50 on race, and 110 on the prevalence of at least one comorbidity. No RCTs reported on income, urban versus rural residence, or other indicators of socioeconomic status (SES). Limited reporting on race and other markers of SES make it difficult to draw conclusions about specific external target populations without making strong assumptions that treatment effects are homogenous. These findings highlight the need for more robust reporting on the clinical and demographic profiles of patients enrolled in COVID-19 related RCTs.

Identifiants

pubmed: 35996832
doi: 10.1002/pds.5533
pmc: PMC9538362
mid: NIHMS1831708
doi:

Types de publication

Systematic Review Journal Article Review Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1219-1227

Subventions

Organisme : NIA NIH HHS
ID : R01 AG056479
Pays : United States

Informations de copyright

© 2022 John Wiley & Sons Ltd.

Références

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Auteurs

Joyce Pak (J)

Department of Epidemiology, UNC Gillings School of Global Public health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

Jennifer L Lund (JL)

Department of Epidemiology, UNC Gillings School of Global Public health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

Alexander Keil (A)

Department of Epidemiology, UNC Gillings School of Global Public health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

Daniel Westreich (D)

Department of Epidemiology, UNC Gillings School of Global Public health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

Til Stürmer (T)

Department of Epidemiology, UNC Gillings School of Global Public health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

David Wohl (D)

Department of Medicine, UNC School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

Claire Farel (C)

Department of Medicine, UNC School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

M Bradley Drummond (MB)

Department of Medicine, UNC School of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

Michael Webster-Clark (M)

Department of Epidemiology, UNC Gillings School of Global Public health, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA.

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