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A Systematic Survey Identified 36 Criteria for Assessing Effect Modification Claims in Randomized Trials or Meta-analyses by Stefan Schandelmaier; Yaping Chang; Niveditha Devasenapathy; Tahira Devji; Joey S.W. Kwong; Luis E. Colunga Lozano; Yung Lee; Arnav Agarwal; Neera Bhatnagar; Hannah Ewald; Ying Zhang; Xin Sun; Lehana Thabane; Michael Walsh; Matthias Briel; Gordon H. Guyatt is a Decision Sciences article available to read on EtoBox.

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## Objective: The objective of the study was to systematically survey the methodological literature and collect suggested criteria for assessing the credibility of effect modification and associated rationales. ## Study design and setting: We searched medline, embase, and worldcat up to march 2018 for publications providing guidance for assessing the credibility of effect modification identified in randomized trials or meta-analyses. teams of two investigators independently identified eligible publications and extracted credibility criteria and authors' rationale, reaching consensus through discussion. we created a taxonomy of criteria that we iteratively refined during data abstraction. ## Results: We identified 150 eligible publications that provided 36 criteria and associated rationales. frequent criteria included significant test for interaction (n = 54), a priori hypothesis (n = 49), providing a causal explanation (n = 47), accounting for multiplicity (n = 45), testing a small number of effect modifiers (n = 38), and prespecification of analytic details (n = 39). for some criteria, we found more than one rationale; some criteria were connected through a common rationale. for s

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Author

Stefan Schandelmaier; Yaping Chang; Niveditha Devasenapathy; Tahira Devji; Joey S.W. Kwong; Luis E. Colunga Lozano; Yung Lee; Arnav Agarwal; Neera Bhatnagar; Hannah Ewald; Ying Zhang; Xin Sun; Lehana Thabane; Michael Walsh; Matthias Briel; Gordon H. Guyatt

Publisher

Elsevier BV

Published

2019

Language

EN

Field

Decision Sciences (Social Sciences)