The Predictive Approaches to Treatment effect Heterogeneity (PATH) statement: Explanation and elaboration

David M. Kent, David Van Klaveren, Jessica K. Paulus, Ralph D'Agostino, Steve Goodman, Rodney Hayward, John P.A. Ioannidis, Bray Patrick-Lake, Sally Morton, Michael Pencina, Gowri Raman, Joseph S. Ross, Harry P. Selker, Ravi Varadhan, Andrew Vickers, John B. Wong, Ewout W. Steyerberg

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

The PATH (Predictive Approaches to Treatment effect Heterogeneity) Statement was developed to promote the conduct of, and provide guidance for, predictive analyses of heterogeneity of treatment effects (HTE) in clinical trials. The goal of predictive HTE analysis is to provide patient-centered estimates of outcome risk with versus without the intervention, taking into account all relevant patient attributes simultaneously, to support more personalized clinical decision making than can be made on the basis of only an overall average treatment effect. The authors distinguished 2 categories of predictive HTE approaches (a "riskmodeling" and an "effect-modeling" approach) and developed 4 sets of guidance statements: Criteria to determine when riskmodeling approaches are likely to identify clinically meaningful HTE, methodological aspects of risk-modeling methods, considerations for translation to clinical practice, and considerations and caveats in the use of effect-modeling approaches. They discuss limitations of these methods and enumerate research priorities for advancing methods designed to generate more personalized evidence. This explanation and elaboration document describes the intent and rationale of each recommendation and discusses related analytic considerations, caveats, and reservations.

Original languageEnglish (US)
Pages (from-to)W1-W25
JournalAnnals of Internal Medicine
Volume172
Issue number1
DOIs
StatePublished - Jan 7 2020
Externally publishedYes

ASJC Scopus subject areas

  • Internal Medicine

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