Original Investigation

Effect Modification Analyses in Individual Participant Data Meta-Analyses

JAMA Network Open 10.1001/jamanetworkopen.2026.8810

April 23, 2026 at 11:00 AM EDT

Read the full article

How often are effect modification analyses in individual participant data meta-analyses (IPDMAs) of randomized clinical trials planned and prespecified?In this systematic review of 356 IPDMA protocols and 166 matching published reports, 94% of protocols planned effect modification analyses, but only 4% specified the anticipated direction of effect and 11% explicitly planned within-trial analyses. Among matched protocol-report pairs, only 19% showed complete agreement on the number and factors of effect modification analyses; 77% of reports omitted at least 1 planned analysis, and 60% included unplanned analyses.The findings of this study suggest that effect modification analyses in IPDMAs often lack prespecification and concordance between protocols and reports, which may undermine transparency and reproducibility.

Corresponding Authors: Junhua Zhang, PhD, Evidence-Based Medicine Center, Tianjin University of Traditional Chinese Medicine, 312 Anshanxi Str, Tianjin 300193, China (zjhtcm@foxmail.com); Jinhui Tian, PhD, Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou 730000, China (tianjh@lzu.edu.cn).

Link to the article in your story

We encourage you to link out to this article in your story using the link below. It includes an access token that will give free access to the article for your readers up to one year after publication. (The link will be live after the article publishes and embargo is lifted.)

Please see the article for additional information, including full author list, author contributions and affiliations, conflict of interest and financial disclosures, and funding and support.

Need more information? Contact us.

Editor's Picks