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

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    The PATH Statement guides predictive analyses for treatment effect heterogeneity (HTE) in clinical trials. These methods offer patient-centered risk estimates for personalized decision-making.

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    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.