The Predictive Approaches to Treatment effect Heterogeneity (PATH) Statement: Explanation and Elaboration

Area of Science:

• Clinical Trials Methodology
• Biostatistics
• Personalized Medicine

Background:

• Heterogeneity of treatment effects (HTE) analysis is crucial for personalized medicine.
• Current methods for HTE analysis often lack comprehensive guidance.
• Predictive approaches aim to improve patient-centered outcome predictions.

Purpose of the Study:

• To introduce the PATH (Predictive Approaches to Treatment effect Heterogeneity) Statement.
• To provide guidance for conducting predictive HTE analyses in clinical trials.
• To support personalized clinical decision-making by moving beyond average treatment effects.

Main Methods:

• Distinguished two categories of predictive HTE approaches: risk-modeling and effect-modeling.
• Developed four sets of guidance statements for risk-modeling and effect-modeling.
• Included criteria for identifying meaningful HTE, methodological considerations, and translation to practice.

Main Results:

• The PATH Statement offers criteria for risk-modeling approaches to identify clinically meaningful HTE.
• Guidance covers methodological aspects, clinical translation, and caveats for effect-modeling approaches.
• Identified limitations and research priorities for advancing personalized evidence generation.

Conclusions:

• The PATH Statement provides a framework for predictive HTE analyses.
• These analyses enhance patient-centered estimates for personalized clinical decisions.
• Further research is needed to advance methods for generating personalized evidence.