The Predictive Approaches to Treatment effect Heterogeneity (PATH) Statement
Authors: David van Klaveren, Ravi Varadhan, David M. Kent
Journal: Annals of Internal Medicine (2020)

Letters2 June 2020The Predictive Approaches to Treatment effect Heterogeneity (PATH) StatementDavid van Klaveren, PhD, Ravi Varadhan, PhD, and David M. Kent, MD, MSDavid van Klaveren, PhDErasmus Medical Center, Rotterdam, the Netherlands (D.V.), Ravi Varadhan, PhDJohns Hopkins University, Baltimore, Maryland (R.V.), and David M. Kent, MD, MSTufts Medical Center, Boston, MA (D.M.K.)Author, Article, and Disclosure Informationhttps://doi.org/10.7326/L20-0427 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail IN RESPONSE:We are grateful to Dr. Baker for pointing us to a modeling approach to estimate heterogeneity of treatment effect, which we categorize as another type of effect modeling (1, 2). We would like to clarify our definition of effect modeling and explain why it commonly is less robust and may overestimate treatment effect heterogeneity compared with risk modeling.We define effect modeling as an approach to heterogeneity of treatment effect analysis that stratifies or classifies into subgroups the population on the basis of a model that includes a treatment assignment variable and potential treatment–covariate interaction terms. Although we ...References1. Kent DM, van Klaveren D, Paulus JK, et al. The Predictive Approaches to Treatment effect Heterogeneity (PATH) Statement: explanation and elaboration. Ann Intern Med. 2019;171:W1-W25. [PMID: 31711094]. doi:10.7326/M18-3668 LinkGoogle Scholar2. Baker SG, Bonetti M. Evaluating markers for guiding treatment. J Natl Cancer Inst. 2016;108. [PMID: 27193772] doi:10.1093/jnci/djw101 CrossrefMedlineGoogle Scholar Author, Article, and Disclosure InformationAffiliations: Erasmus Medical Center, Rotterdam, the Netherlands (D.V.)Johns Hopkins University, Baltimore, Maryland (R.V.)Tufts Medical Center, Boston, MA (D.M.K.)Acknowledgment: The authors thank the PATH Statement Writing Group for helpful discussions.Disclosures: Disclosures can be viewed at www.acponline.org/authors/icmje/ConflictOfInterestForms.do?msNum=M18-3667. PreviousarticleNextarticle Advertisement FiguresReferencesRelatedDetailsSee AlsoThe Predictive Approaches to Treatment effect Heterogeneity (PATH) Statement David M. Kent , Jessica K. Paulus , David van Klaveren , 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 , and Ewout W. Steyerberg The Predictive Approaches to Treatment effect Heterogeneity (PATH) Statement Stuart G. Baker Metrics Cited byEvaluation of Variation in the Performance of GFR Slope as a Surrogate End Point for Kidney Failure in Clinical Trials that Differ by Severity of CKDLipid‐Lowering Trials Are Not Representative of Patients Managed in Clinical Practice: A Systematic Review and Meta‐Analysis of Exclusion CriteriaPersonalization of renal replacement therapy initiation: a secondary analysis of the AKIKI and IDEAL-ICU trials 2 June 2020Volume 172, Issue 11Page: 776KeywordsDisclosureForecasting ePublished: 2 June 2020 Issue Published: 2 June 2020 Copyright & PermissionsCopyright © 2020 by American College of Physicians. All Rights Reserved.PDF downloadLoading ...