Random-effects meta-analysis of combined outcomes based on reconstructions of individual patient data.

ABSTRACT: Meta-analyses of clinical trials typically focus on one outcome at a time. However, treatment decision-making depends on an overall assessment of outcomes balancing benefit in various domains and potential risks. This calls for meta-analysis methods for combined outcomes that encompass information from different domains. When individual patient data (IPD) are available from all studies, combined outcomes can be calculated for each individual and standard meta-analysis methods would apply. However, IPD are usually difficult to obtain. We propose a method to estimate the overall treatment effect for combined outcomes based on first reconstructing pseudo IPD from available summary statistics and then pooling estimates from multiple reconstructed datasets. We focus on combined outcomes constru

SUBMITTER: Song Y 

PROVIDER: S-EPMC7680580 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature