Drug Efficacy Estimation for Follow-on Companion Diagnostic Devices Through External Studies.

IF 1.8 4区 医学 Q3 MATHEMATICAL & COMPUTATIONAL BIOLOGY Statistics in Medicine Pub Date : 2024-11-05 DOI:10.1002/sim.10231
Jiarui Sun, Wenjie Hu, Xiao-Hua Zhou
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Abstract

A therapeutic product is usually not suitable for all patients but for only a subpopulation. The safe and effective use of such a therapeutic product requires the co-approval of a companion diagnostic device which can be used to identify suitable patients. While the first-of-a-kind companion diagnostic device is often developed in conjunction with its intended therapeutic product and simultaneously validated through a randomized clinical trial, there remains room for the innovation of new and improved follow-on companion diagnostic devices designed for the same therapeutic product. However, conducting a new randomized trial or a bridging study for the follow on companion devices may be unethical, expensive or unpractical. Hence, there arises a need for an external study to evaluate the concordance between the FDA-approved comparator companion diagnostic device (CCD) and the subsequent follow-on companion diagnostic devices (FCD), indirectly validating the latter. In this article, we introduce a novel external study design, referred to as the targeted treatment design, as an extension of the existing concordance design. Additionally, we present corresponding statistical analysis methods. Our approach combines the CCD randomized trial data and the FCD external study data, enabling the estimation of drug efficacy within the FCD+ and FCD- subpopulations-the parameters crucial for the validation of the FCD. Theoretical results and simulation studies validate the proposed methods and we further illustrate the proposed methods through an application in a real example of non-small-cell lung cancer.

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通过外部研究估算后续辅助诊断设备的药效。
治疗产品通常并不适合所有病人,而只适合一部分病人。要安全有效地使用这种治疗产品,就必须同时批准一种辅助诊断设备,用于确定合适的患者。虽然首创的配套诊断设备通常与预期的治疗产品一起开发,并同时通过随机临床试验进行验证,但为同一治疗产品设计的新的和改进的后续配套诊断设备仍有创新的空间。然而,为后续配套设备进行新的随机试验或桥接研究可能不道德、昂贵或不切实际。因此,有必要开展一项外部研究,以评估 FDA 批准的参照配套诊断设备(CCD)与后续配套诊断设备(FCD)之间的一致性,从而间接验证后者。在本文中,我们介绍了一种新颖的外部研究设计(称为靶向治疗设计),作为现有一致性设计的延伸。此外,我们还介绍了相应的统计分析方法。我们的方法结合了 CCD 随机试验数据和 FCD 外部研究数据,能够估算 FCD+ 和 FCD- 亚群的药物疗效--这些参数对 FCD 的验证至关重要。理论结果和模拟研究验证了所提出的方法,我们还通过在非小细胞肺癌实际案例中的应用进一步说明了所提出的方法。
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来源期刊
Statistics in Medicine
Statistics in Medicine 医学-公共卫生、环境卫生与职业卫生
CiteScore
3.40
自引率
10.00%
发文量
334
审稿时长
2-4 weeks
期刊介绍: The journal aims to influence practice in medicine and its associated sciences through the publication of papers on statistical and other quantitative methods. Papers will explain new methods and demonstrate their application, preferably through a substantive, real, motivating example or a comprehensive evaluation based on an illustrative example. Alternatively, papers will report on case-studies where creative use or technical generalizations of established methodology is directed towards a substantive application. Reviews of, and tutorials on, general topics relevant to the application of statistics to medicine will also be published. The main criteria for publication are appropriateness of the statistical methods to a particular medical problem and clarity of exposition. Papers with primarily mathematical content will be excluded. The journal aims to enhance communication between statisticians, clinicians and medical researchers.
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