Literature DB >> 31711094

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.   

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 "risk-modeling" and an "effect-modeling" approach) and developed 4 sets of guidance statements: criteria to determine when risk-modeling 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.

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Year:  2019        PMID: 31711094      PMCID: PMC7750907          DOI: 10.7326/M18-3668

Source DB:  PubMed          Journal:  Ann Intern Med        ISSN: 0003-4819            Impact factor:   25.391


  175 in total

1.  How to evaluate interaction between causes: a review of practices in cardiovascular epidemiology.

Authors:  J Hallqvist; A Ahlbom; F Diderichsen; C Reuterwall
Journal:  J Intern Med       Date:  1996-05       Impact factor: 8.989

2.  Implications of Heterogeneity of Treatment Effect for Reporting and Analysis of Randomized Trials in Critical Care.

Authors:  Theodore J Iwashyna; James F Burke; Jeremy B Sussman; Hallie C Prescott; Rodney A Hayward; Derek C Angus
Journal:  Am J Respir Crit Care Med       Date:  2015-11-01       Impact factor: 21.405

3.  Realizing the Potential of Clinical Risk Prediction Models: Where Are We Now and What Needs to Change to Better Personalize Delivery of Care?

Authors:  Adam C Salisbury; John A Spertus
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2015-07-07

4.  Simple risk stratification at admission to identify patients with reduced mortality from primary angioplasty.

Authors:  Jens Jakob Thune; Dan Eik Hoefsten; Matias Greve Lindholm; Leif Spange Mortensen; Henning Rud Andersen; Torsten Toftegaard Nielsen; Lars Kober; Henning Kelbaek
Journal:  Circulation       Date:  2005-09-27       Impact factor: 29.690

Review 5.  Integrating Randomized Comparative Effectiveness Research with Patient Care.

Authors:  Louis D Fiore; Philip W Lavori
Journal:  N Engl J Med       Date:  2016-06-02       Impact factor: 91.245

6.  Variable selection for qualitative interactions in personalized medicine while controlling the family-wise error rate.

Authors:  Lacey Gunter; Ji Zhu; Susan Murphy
Journal:  J Biopharm Stat       Date:  2011-11       Impact factor: 1.051

Review 7.  Drug-induced proarrhythmia: risk factors and electrophysiological mechanisms.

Authors:  Gerrit Frommeyer; Lars Eckardt
Journal:  Nat Rev Cardiol       Date:  2015-07-21       Impact factor: 32.419

8.  Prediction of incident diabetes mellitus in middle-aged adults: the Framingham Offspring Study.

Authors:  Peter W F Wilson; James B Meigs; Lisa Sullivan; Caroline S Fox; David M Nathan; Ralph B D'Agostino
Journal:  Arch Intern Med       Date:  2007-05-28

9.  Shared decision making in patients with low risk chest pain: prospective randomized pragmatic trial.

Authors:  Erik P Hess; Judd E Hollander; Jason T Schaffer; Jeffrey A Kline; Carlos A Torres; Deborah B Diercks; Russell Jones; Kelly P Owen; Zachary F Meisel; Michel Demers; Annie Leblanc; Nilay D Shah; Jonathan Inselman; Jeph Herrin; Ana Castaneda-Guarderas; Victor M Montori
Journal:  BMJ       Date:  2016-12-05

Review 10.  Outcome Reporting in Cardiac Surgery Trials: Systematic Review and Critical Appraisal.

Authors:  Michael Goldfarb; Laura Drudi; Mohammad Almohammadi; Yves Langlois; Nicolas Noiseux; Louis Perrault; Nicolo Piazza; Jonathan Afilalo
Journal:  J Am Heart Assoc       Date:  2015-08-17       Impact factor: 5.501

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  20 in total

1.  Generalizability and Transportability of the National Lung Screening Trial Data: Extending Trial Results to Different Populations.

Authors:  Kosuke Inoue; William Hsu; Onyebuchi A Arah; Ashley E Prosper; Denise R Aberle; Alex A T Bui
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2021-09-20       Impact factor: 4.090

2.  Assessing the ability of an instrumental variable causal forest algorithm to personalize treatment evidence using observational data: the case of early surgery for shoulder fracture.

Authors:  John M Brooks; Cole G Chapman; Sarah B Floyd; Brian K Chen; Charles A Thigpen; Michael Kissenberth
Journal:  BMC Med Res Methodol       Date:  2022-07-11       Impact factor: 4.612

3.  Early predictors of functional outcome in poor-grade aneurysmal subarachnoid hemorrhage: a systematic review and meta-analysis.

Authors:  Jordi de Winkel; Tim Y Cras; Ruben Dammers; Pieter-Jan van Doormaal; Mathieu van der Jagt; Diederik W J Dippel; Hester F Lingsma; Bob Roozenbeek
Journal:  BMC Neurol       Date:  2022-06-30       Impact factor: 2.903

4.  Heterogeneity of Treatment Effects in an Analysis of Pooled Individual Patient Data From Randomized Trials of Device Closure of Patent Foramen Ovale After Stroke.

Authors:  David M Kent; Jeffrey L Saver; Scott E Kasner; Jason Nelson; John D Carroll; Gilles Chatellier; Geneviève Derumeaux; Anthony J Furlan; Howard C Herrmann; Peter Jüni; Jong S Kim; Benjamin Koethe; Pil Hyung Lee; Benedicte Lefebvre; Heinrich P Mattle; Bernhard Meier; Mark Reisman; Richard W Smalling; Lars Soendergaard; Jae-Kwan Song; Jean-Louis Mas; David E Thaler
Journal:  JAMA       Date:  2021-12-14       Impact factor: 157.335

5.  Noninvasive Ventilation Use Is Associated with Better Survival in Amyotrophic Lateral Sclerosis.

Authors:  Jason Ackrivo; Jesse Y Hsu; John Hansen-Flaschen; Lauren Elman; Steven M Kawut
Journal:  Ann Am Thorac Soc       Date:  2021-03

6.  Patient Selection for Intensive Blood Pressure Management Based on Benefit and Adverse Events.

Authors:  Adam P Bress; Tom Greene; Catherine G Derington; Jincheng Shen; Yizhe Xu; Yiyi Zhang; Jian Ying; Brandon K Bellows; William C Cushman; Paul K Whelton; Nicholas M Pajewski; David Reboussin; Srinivasan Beddu; Rachel Hess; Jennifer S Herrick; Zugui Zhang; Paul Kolm; Robert W Yeh; Sanjay Basu; William S Weintraub; Andrew E Moran
Journal:  J Am Coll Cardiol       Date:  2021-04-27       Impact factor: 24.094

Review 7.  A scoping review of causal methods enabling predictions under hypothetical interventions.

Authors:  Lijing Lin; Matthew Sperrin; David A Jenkins; Glen P Martin; Niels Peek
Journal:  Diagn Progn Res       Date:  2021-02-04

8.  Screening for regenerative therapy responders in heart failure.

Authors:  Satsuki Yamada; Ryounghoon Jeon; Armin Garmany; Atta Behfar; Andre Terzic
Journal:  Biomark Med       Date:  2021-06-25       Impact factor: 2.851

Review 9.  Predictive approaches to heterogeneous treatment effects: a scoping review.

Authors:  Alexandros Rekkas; Jessica K Paulus; Gowri Raman; John B Wong; Ewout W Steyerberg; Peter R Rijnbeek; David M Kent; David van Klaveren
Journal:  BMC Med Res Methodol       Date:  2020-10-23       Impact factor: 4.615

10.  Identifying adults with acute rhinosinusitis in primary care that benefit most from antibiotics: protocol of an individual patient data meta-analysis using multivariable risk prediction modelling.

Authors:  Roderick P Venekamp; Jeroen Hoogland; Maarten van Smeden; Maroeska M Rovers; An I De Sutter; Daniel Merenstein; Gerrit A van Essen; Laurent Kaiser; Helena Liira; Paul Little; Heiner Cc Bucher; Johannes B Reitsma
Journal:  BMJ Open       Date:  2021-07-01       Impact factor: 2.692

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