More than half of systematic reviews have relevant core outcome sets.


Journal

Journal of clinical epidemiology
ISSN: 1878-5921
Titre abrégé: J Clin Epidemiol
Pays: United States
ID NLM: 8801383

Informations de publication

Date de publication:
08 2021
Historique:
received: 18 01 2021
revised: 08 04 2021
accepted: 25 04 2021
pubmed: 12 5 2021
medline: 16 10 2021
entrez: 11 5 2021
Statut: ppublish

Résumé

Using recent systematic reviews (SRs), our objectives were to: (1) develop a framework to assess whether a given COS is relevant to the scope of a SR; (2) examine the proportion of SRs for which relevant COS exist; and (3) for SRs for which COS exist, examine the extent to which outcomes in the COS and outcomes in the SR match. We included a sample of SRs published by the Agency for Healthcare Research and Quality Evidence-based Practice Center Program between January 1, 2018 and October 12, 2020. We searched for potentially relevant COS from the Core Outcome Measures for Effectiveness Trials (COMET) database. We assessed the matching between outcomes recommended by COS and those included in corresponding SRs. When outcomes were matched, we considered matches to be specific (i.e., exact) or general (i.e., non-specific). Sixty-seven SRs met criteria. We found relevant COS for 36 of 67 SRs (54%). Our framework for comparing the scope of a SR and a COS describes 16 scenarios arising when the breadth of the populations and the interventions are considered. The framework guides systematic reviewers to determine whether a COS is very likely to be relevant, may be relevant, or unlikely to be relevant. Sixty-two percent of outcomes in COS (interquartile range, 40% - 80%) were either specific or general matches to outcomes in SRs. We found a COS with relevant scope for more than half of the SRs in our sample, with almost two-thirds of the recommended core outcomes matched to outcomes chosen for the SRs. Consideration of COS appears relevant for SR planning and our framework for assessing relevance of a given COS may help with this process.

Identifiants

pubmed: 33974970
pii: S0895-4356(21)00142-6
doi: 10.1016/j.jclinepi.2021.04.019
pmc: PMC8442852
pii:
doi:

Types de publication

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

Langues

eng

Sous-ensembles de citation

IM

Pagination

168-179

Subventions

Organisme : Medical Research Council
ID : MR/S014357/1
Pays : United Kingdom
Organisme : Department of Health
ID : NF-SI_0513-10025
Pays : United Kingdom

Informations de copyright

Copyright © 2021. Published by Elsevier Inc.

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Auteurs

Ian J Saldanha (IJ)

Center for Evidence Synthesis in Health, Department of Health Services, Policy, and Practice (Primary), Department of Epidemiology (Secondary), Brown University School of Public Health, Providence, Rhode Island, USA. Electronic address: ian_saldanha@brown.edu.

Susanna Dodd (S)

MRC/NIHR Trials Methodology Research Partnership, Department of Health Data Science, University of Liverpool (a member of Liverpool Health Partners), Liverpool, UK.

Sarah L Gorst (SL)

MRC/NIHR Trials Methodology Research Partnership, Department of Health Data Science, University of Liverpool (a member of Liverpool Health Partners), Liverpool, UK.

Paula R Williamson (PR)

MRC/NIHR Trials Methodology Research Partnership, Department of Health Data Science, University of Liverpool (a member of Liverpool Health Partners), Liverpool, UK.

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Classifications MeSH