Development of the Instrument to assess the Credibility of Effect Modification Analyses (ICEMAN) in randomized controlled trials and meta-analyses

Stefan Schandelmaier(University of Freiburg), Matthias Briel(Johns Hopkins University), Ravi Varadhan(University of Amsterdam), Christopher H. Schmid(SIB Swiss Institute of Bioinformatics), Niveditha Devasenapathy(Brown University), Rodney A. Hayward(Brown University), Joel Gagnier(SIB Swiss Institute of Bioinformatics), Michael Borenstein(VA Center for Clinical Management Research), Geert J. M. G. van der Heijden(University of Michigan–Ann Arbor), Issa J Dahabreh(University of Michigan–Ann Arbor), Xin Sun(Public Health Foundation of India), Willi Sauerbrei(University of Amsterdam), Michael Walsh(Johns Hopkins University), John P. A. Ioannidis(SIB Swiss Institute of Bioinformatics), Lehana Thabane(Brown University), Gordon H. Guyatt(SIB Swiss Institute of Bioinformatics)
Canadian Medical Association Journal
August 9, 2020
Cited by 706Open Access
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Abstract

BACKGROUND: Most randomized controlled trials (RCTs) and meta-analyses of RCTs examine effect modification (also called a subgroup effect or interaction), in which the effect of an intervention varies by another variable (e.g., age or disease severity). Assessing the credibility of an apparent effect modification presents challenges; therefore, we developed the Instrument for assessing the Credibility of Effect Modification Analyses (ICEMAN). METHODS: To develop ICEMAN, we established a detailed concept; identified candidate credibility considerations in a systematic survey of the literature; together with experts, performed a consensus study to identify key considerations and develop them into instrument items; and refined the instrument based on feedback from trial investigators, systematic review authors and journal editors, who applied drafts of ICEMAN to published claims of effect modification. RESULTS: The final instrument consists of a set of preliminary considerations, core questions (5 for RCTs, 8 for meta-analyses) with 4 response options, 1 optional item for additional considerations and a rating of credibility on a visual analogue scale ranging from very low to high. An accompanying manual provides rationales, detailed instructions and examples from the literature. Seventeen potential users tested ICEMAN; their suggestions improved the user-friendliness of the instrument. INTERPRETATION: The Instrument for assessing the Credibility of Effect Modification Analyses offers explicit guidance for investigators, systematic reviewers, journal editors and others considering making a claim of effect modification or interpreting a claim made by others.


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