Multivariate and network meta-analysis of multiple outcomes and multiple treatments: rationale, concepts and examples

Richard D. Riley, Dan Jackson, Georgia Salanti, Danielle L. Burke, Malcolm Price, Ian R. White

Research output: Contribution to journalArticlepeer-review

76 Citations (Scopus)
168 Downloads (Pure)

Abstract

Organisations such as the National Institute for Health and Care Excellence (NICE) require evidence synthesis of existing studies to inform their decisions, for example about the best available treatments with respect to multiple efficacy and safety outcomes. However, relevant studies may not provide direct evidence about all the treatments or outcomes of interest. Multivariate and network meta-analysis methods provide a framework to address this, using correlated and/or indirect evidence from such studies alongside any direct evidence. In this article, Riley and colleagues describe the key concepts and assumptions of these methods, outline how correlated and indirect evidence arises, and illustrate the contribution of such evidence in real clinical examples involving multiple outcomes and multiple treatments.
Original languageEnglish
Article numberj3932
JournalBMJ
Volume358
DOIs
Publication statusPublished - 13 Sep 2017

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