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Statistical Consideration and Challenges in Bridging Study of Personalized Medicine

机译:个性化医学衔接研究的统计考虑和挑战

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Applications of personalized medicine are becoming increasingly prominent. A well-characterized market-ready companion diagnostic assay (CDx) is often desired for patient enrollment in device-drug pivotal clinical trial(s) so that Food and Drug Administration can ensure that appropriate clinical and analytical validation studies are planned and carried out for CDx. However, such a requirement may be difficult or impractical to accomplish. A clinical trial assay (CTA) instead of CDx may be used for patient enrollment in the clinical trial. A concordance study (or bridging study) will be required to assess the agreement between CDx and CTA in order to bridge the clinical data (e.g. overall survival) from CTA to CDx and to evaluate the drug efficacy in CDx intended use population. In this article, we will discuss statistical challenges in study design and data analysis for bridging study. Particularly, we aimed to provide statistical methods on how to estimate the drug efficacy in CDx intended use population using results from bridging study and CTA-drug pivotal clinical trial.
机译:个性化医学的应用变得越来越突出。装置药品关键性临床试验中通常需要患者使用特征明确的市场就绪伴侣诊断测定法(CDx),以便食品药品监督管理局可以确保计划并进行适当的临床和分析验证研究CDx。但是,这种要求可能很难实现或不切实际。临床试验测定法(CTA)代替CDx可用于临床试验中的患者入组。需要进行一致性研究(或衔接研究)以评估CDx和CTA之间的协议,以便将CTA转化为CDx的临床数据(例如总体生存期)并评估CDx预期用途人群的药物疗效。在本文中,我们将讨论研究设计和用于桥接研究的数据分析中的统计挑战。特别是,我们旨在提供统计方法,以使用桥接研究和CTA-药物关键临床试验的结果估算如何在CDx预期用途人群中评估药物疗效。

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