Totality of evidence of the effectiveness of repurposed therapies for COVID-19: Can we use real-world studies alongside randomized controlled trials?


Journal

Clinical and translational science
ISSN: 1752-8062
Titre abrégé: Clin Transl Sci
Pays: United States
ID NLM: 101474067

Informations de publication

Date de publication:
10 2023
Historique:
revised: 21 06 2023
received: 05 01 2023
accepted: 22 06 2023
medline: 23 10 2023
pubmed: 19 7 2023
entrez: 19 7 2023
Statut: ppublish

Résumé

Rapid and robust strategies to evaluate the efficacy and effectiveness of novel and existing pharmacotherapeutic interventions (repurposed treatments) in future pandemics are required. Observational "real-world studies" (RWS) can report more quickly than randomized controlled trials (RCTs) and would have value were they to yield reliable results. Both RCTs and RWS were deployed during the coronavirus disease 2019 (COVID-19) pandemic. Comparing results between them offers a unique opportunity to determine the potential value and contribution of each. A learning review of these parallel evidence channels in COVID-19, based on quantitative modeling, can help improve speed and reliability in the evaluation of repurposed therapeutics in a future pandemic. Analysis of all-cause mortality data from 249 observational RWS and RCTs across eight treatment regimens for COVID-19 showed that RWS yield more heterogeneous results, and generally overestimate the effect size subsequently seen in RCTs. This is explained in part by a few study factors: the presence of RWS that are imbalanced for age, gender, and disease severity, and those reporting mortality at 2 weeks or less. Smaller studies of either type contributed negligibly. Analysis of evidence generated sequentially during the pandemic indicated that larger RCTs drive our ability to make conclusive decisions regarding clinical benefit of each treatment, with limited inference drawn from RWS. These results suggest that when evaluating therapies in future pandemics, (1) large RCTs, especially platform studies, be deployed early; (2) any RWS should be large and should have adequate matching of known confounders and long follow-up; (3) reporting standards and data standards for primary endpoints, explanatory factors, and key subgroups should be improved; in addition, (4) appropriate incentives should be in place to enable access to patient-level data; and (5) an overall aggregate view of all available results should be available at any given time.

Identifiants

pubmed: 37466279
doi: 10.1111/cts.13591
pmc: PMC10582658
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

1842-1855

Informations de copyright

© 2023 The Authors. Clinical and Translational Science published by Wiley Periodicals LLC on behalf of the American Society for Clinical Pharmacology and Therapeutics.

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Auteurs

Jaap Mandema (J)

Certara, Princeton, New Jersey, USA.

Hugh Montgomery (H)

UCL, London, UK.

Louis Dron (L)

Cytel, Vancouver, Canada.

Shuai Fu (S)

Certara, Shanghai, China.

Estelle Russek-Cohen (E)

ERCStatLLC, Rockville, Maryland, USA.

Christina Bromley (C)

Oyanalytika, Inc., Potomac, Maryland, USA.

Amy Lalonde (A)

Lilly, Indianapolis, Indiana, USA.

Larry Tsai (L)

Genentech, South San Francisco, California, USA.

Phil Ambery (P)

AstraZeneca, Gothenburg, Sweden.

Doug McNair (D)

Bill and Melinda Gates Foundation, Seattle, Washington, USA.

Nawab Qizilbash (N)

OXON Epidemiology, Madrid, Spain.
London School of Hygiene and Tropical Medicine, London, UK.

Stuart Pocock (S)

London School of Hygiene and Tropical Medicine, London, UK.

Névine Zariffa (N)

NMD Group Inc., Bala Cynwyd, Pennsylvania, USA.

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Classifications MeSH