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Demystifying the estimand framework: a case study using patient-reported outcomes in oncology.
Mallorie H Fiero1, Madeline Pe2, Chana Weinstock3
1Office of Biostatistics, US Food and Drug Administration, Silver Spring, MD, USA.
The estimand framework clarifies patient-reported outcome (PRO) objectives in cancer drug trials. Applying this structured approach enhances the interpretation of patient experiences and drug benefit-risk assessments.
Area of Science:
- Clinical trial methodology
- Oncology drug development
- Patient-reported outcomes
Background:
- Patient-reported outcome (PRO) measures are crucial for assessing cancer drug benefits and risks.
- Ill-defined PRO research objectives in clinical trials can lead to inaccurate conclusions about patient experiences.
- The estimand framework offers a structured method to align trial objectives with design, endpoints, and analysis.
Purpose of the Study:
- To provide an overview of the estimand framework for a multistakeholder audience, based on ICH E9(R1).
- To demonstrate the application of the estimand framework to PRO research objectives using a hypothetical breast cancer trial.
- To improve the design, analysis, and interpretation of PRO results in oncology drug development.
Main Methods:
- Review of the estimand framework principles.
- Application of the framework to a hypothetical breast cancer clinical trial.
- Focus on physical function as a PRO to define specific research objectives.
Main Results:
- The estimand framework provides a structured approach to defining PRO research objectives.
- Application in a hypothetical trial illustrates improved clarity in study design and interpretation.
- The framework facilitates better alignment between trial objectives and PRO data.
Conclusions:
- Implementing the estimand framework can enhance the clarity and reliability of PRO data in cancer drug development.
- This structured approach improves communication among stakeholders regarding patient experiences.
- Clearer interpretation of PROs leads to more accurate benefit-risk assessments for oncological drugs.
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