Meta-analyses: what they can and cannot do

Nordmann, Alain J. and Kasenda, Benjamin and Briel, Matthias. (2012) Meta-analyses: what they can and cannot do. Swiss Medical Weekly, 142. w13518.

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Official URL: http://edoc.unibas.ch/53543/

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Meta-analyses overcome the limitation of small sample sizes or rare outcomes by pooling results from a number of individual studies to generate a single best estimate. As long as a meta-analysis is not limited by poor quality of included trials, unexplainable heterogeneity and/or reporting bias of individual trials, meta-analyses can be instrumental in reliably demonstrating benefit or harm of an intervention when results of individual randomised controlled trials are conflicting or inconclusive. Therefore meta-analyses should be conducted as part of a systematic review, i.e., a systematic approach to answer a focused clinical question. Important features of a systematic review are a comprehensive, reproducible search for primary studies, selection of studies using clear and transparent eligibility criteria, standardised critical appraisal of studies for quality, and investigation of heterogeneity among included studies. Cumulative meta-analysis may prevent delays in the introduction of effective treatments and may allow for early detection of harmful effects of interventions. As opposed to meta-analysis based on aggregate study data, individual patient data meta-analyses offer the advantage to use standardised criteria across trials and reliably investigate subgroup effects of interventions. Network meta-analysis allows the integration of data from direct and indirect comparisons in order to compare multiple treatments in a comprehensive analysis and determine the best treatment among several options. We conclude that meta-analysis has become a popular, versatile, and powerful tool. If rigorously conducted as part of a systematic review, it is essential for evidence-based decision making in clinical practice as well as on the health policy level.
Faculties and Departments:03 Faculty of Medicine > Departement Klinische Forschung > Clinical Epidemiology and Biostatistics CEB > Klinische Epidemiologie (Bucher H)
UniBasel Contributors:Kasenda, Benjamin
Item Type:Article
Article Subtype:Research Article
Publisher:EMH Schweizerischer Arzteverlag
Note:Publication type according to Uni Basel Research Database: Journal article
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Last Modified:03 Oct 2017 14:15
Deposited On:03 Oct 2017 14:15

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