Office of Biostatistics, US Food and Drug Administration, Silver Spring, MD, USA.
European Organisation for Research and Treatment of Cancer, Brussels, Belgium.
Lancet Oncol. 2020 Oct;21(10):e488-e494. doi: 10.1016/S1470-2045(20)30319-3.
Patient-reported outcome (PRO) measures describe how a patient feels or functions and are increasingly being used in benefit-risk assessments in the development of cancer drugs. However, PRO research objectives are often ill-defined in clinical cancer trials, which can lead to misleading conclusions about patient experiences. The estimand framework is a structured approach to aligning a clinical trial objective with the study design, including endpoints and analysis. The estimand framework uses a multidisciplinary approach and can improve design, analysis, and interpretation of PRO results. On the basis of the International Council for Harmonisation of Technical Requirements for Registration of Pharmaceuticals for Human Use E9(R1) addendum, we provide an overview of the estimand framework intended for a multistakeholder audience. We apply the estimand framework to a hypothetical trial for breast cancer, using physical function to develop specific PRO research objectives. This Policy Review is not an endorsement of a specific study design or outcome; rather, it is meant to show the application of principles of the estimand framework to research study design and add to ongoing discussion. Use of the estimand framework to review medical products and label PROs in oncology can improve communication between stakeholders and ultimately provide a clearer interpretation of patient experience in the development of oncological drugs.
患者报告结局(PRO)测量描述了患者的感受或功能,并且在癌症药物开发的获益-风险评估中越来越多地被使用。然而,PRO 研究目标在癌症临床试验中常常定义不明确,这可能导致对患者体验的误导性结论。估计量框架是一种将临床试验目标与研究设计(包括终点和分析)相匹配的结构化方法。估计量框架采用多学科方法,可以改进 PRO 结果的设计、分析和解释。基于国际人用药品注册技术协调会 E9(R1)增编,我们为多利益相关者提供了估计量框架的概述。我们将估计量框架应用于乳腺癌的假设试验,使用身体功能来制定特定的 PRO 研究目标。本政策综述不是对特定研究设计或结果的认可;相反,它旨在展示估计量框架原则在研究设计中的应用,并为正在进行的讨论增添内容。在肿瘤学中使用估计量框架来审查医疗产品和标签 PRO 可以改善利益相关者之间的沟通,并最终更清晰地解释在开发肿瘤药物过程中的患者体验。