Development of the Instrument to assess the Credibility of Effect Modification Analyses (ICEMAN) in randomized controlled trials and meta-analyses
University of Freiburg · Johns Hopkins University · +9 more institutions
Abstract
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).
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.
Citation impact
- FWCI
- 49.09
- Percentile
- 100%
- References
- 53
Authors
16- SSStefan SchandelmaierCorresponding
University of Freiburg, Johns Hopkins University, Public Health Foundation of India, University of Michigan–Ann Arbor, SIB Swiss Institute of Bioinformatics, Biostat (United States), Sichuan University, University of Amsterdam, Brown University, VA Center for Clinical Management Research, Academic Center for Dentistry Amsterdam
- MBMatthias Briel
Johns Hopkins University, University of Michigan–Ann Arbor, Biostat (United States), Public Health Foundation of India, VA Center for Clinical Management Research, SIB Swiss Institute of Bioinformatics, Academic Center for Dentistry Amsterdam, University of Amsterdam, Sichuan University, University of Freiburg, Brown University
- RVRavi Varadhan
University of Amsterdam, Biostat (United States), Sichuan University, SIB Swiss Institute of Bioinformatics, University of Freiburg, Academic Center for Dentistry Amsterdam, Johns Hopkins University, Public Health Foundation of India, VA Center for Clinical Management Research, University of Michigan–Ann Arbor, Brown University
- CHChristopher H. Schmid
SIB Swiss Institute of Bioinformatics, Brown University, Academic Center for Dentistry Amsterdam, Biostat (United States), Public Health Foundation of India, University of Michigan–Ann Arbor, Johns Hopkins University, VA Center for Clinical Management Research, Sichuan University, University of Freiburg, University of Amsterdam
- NDNiveditha Devasenapathy
Brown University, Public Health Foundation of India, SIB Swiss Institute of Bioinformatics, Sichuan University, University of Michigan–Ann Arbor, University of Amsterdam, Biostat (United States), Academic Center for Dentistry Amsterdam, VA Center for Clinical Management Research, University of Freiburg, Johns Hopkins University
Topics & keywords
- Credibility
- Randomized controlled trial
- Systematic review
- Meta-analysis
- Set (abstract data type)
- Computer science
- Evidence-based medicine
- MEDLINE