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Assessing the quality of studies in meta-research: Review/guidelines on the most important quality assessment tools

dc.contributor.authorLuchini, Claudio
dc.contributor.authorVeronese, Nicola
dc.contributor.authorNottegar, Alessia
dc.contributor.authorShin, Jae Il
dc.contributor.authorGentile, Giovanni
dc.contributor.authorGranziol, Umberto
dc.contributor.authorSOYSAL, PINAR
dc.contributor.authorAlexinschi, Ovidiu
dc.contributor.authorSmith, Lee
dc.contributor.authorSolmi, Marco
dc.contributor.institutionauthorSOYSAL, PINAR
dc.date.accessioned2020-10-22T15:52:39Z
dc.date.available2020-10-22T15:52:39Z
dc.date.issued2020-09-01T00:00:00Z
dc.description.abstractSystematic reviews and meta-analyses pool data from individual studies to generate a higher level of evidence to be evaluated by guidelines. These reviews ultimately guide clinicians and stakeholders in health-related decisions. However, the informativeness and quality of evidence synthesis inherently depend on the quality of what has been pooled into meta-research projects. Moreover, beyond the quality of included individual studies, only a methodologically correct process, in relation to systematic reviews and meta-analyses themselves, can produce a reliable and valid evidence synthesis. Hence, quality of meta-research projects also affects evidence synthesis reliability. In this overview, the authors provide a synthesis of advantages and disadvantages and main characteristics of some of the most frequently used tools to assess quality of individual studies, systematic reviews, and meta-analyses. Specifically, the tools considered in this work are the Newcastle-Ottawa scale (NOS) and the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) for observational studies, the Consolidated Standards of Reporting Trials (CONSORT), the Jadad scale, the Cochrane risk of bias tool 2 (RoB2) for randomized controlled trials, the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) and the Assessment of Multiple Systematic Reviews 2 (AMSTAR2), and AMSTAR-PLUS for meta-analyses.
dc.identifier.citationLuchini C., Veronese N., Nottegar A., Shin J. I. , Gentile G., Granziol U., SOYSAL P., Alexinschi O., Smith L., Solmi M., -Assessing the quality of studies in meta-research: Review/guidelines on the most important quality assessment tools-, PHARMACEUTICAL STATISTICS, 2020
dc.identifier.doi10.1002/pst.2068
dc.identifier.pubmed32935459
dc.identifier.scopus85090929500
dc.identifier.urihttp://hdl.handle.net/20.500.12645/23555
dc.identifier.wosWOS:000569391700001
dc.titleAssessing the quality of studies in meta-research: Review/guidelines on the most important quality assessment tools
dc.typeArticle
dspace.entity.typePublication
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local.publication.isinternational1
relation.isAuthorOfPublication0e36986e-d71d-4579-a395-877af097ade5
relation.isAuthorOfPublication.latestForDiscovery0e36986e-d71d-4579-a395-877af097ade5
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