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设计严谨高效的早期检测生物标志物临床实用研究。

Designing Rigorous and Efficient Clinical Utility Studies for Early Detection Biomarkers.

机构信息

Biostatistics Program, Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington.

Division of Cancer Prevention, National Cancer Institute, Rockville, Maryland.

出版信息

Cancer Epidemiol Biomarkers Prev. 2024 Sep 3;33(9):1150-1157. doi: 10.1158/1055-9965.EPI-23-1594.

Abstract

Before implementing a biomarker in routine clinical care, it must demonstrate clinical utility by leading to clinical actions that positively affect patient-relevant outcomes. Randomly controlled early detection utility trials, especially those targeting mortality endpoint, are challenging due to their high costs and prolonged duration. Special design considerations are required to determine the clinical utility of early detection assays. This commentary reports on discussions among the National Cancer Institute's Early Detection Research Network investigators, outlining the recommended process for carrying out single-organ biomarker-driven clinical utility studies. We present the early detection utility studies in the context of phased biomarker development. We describe aspects of the studies related to the features of biomarker tests, the clinical context of endpoints, the performance criteria for later phase evaluation, and study size. We discuss novel adaptive design approaches for improving the efficiency and practicality of clinical utility trials. We recommend using multiple strategies, including adopting real-world evidence, emulated trials, and mathematical modeling to circumvent the challenges in conducting early detection utility trials.

摘要

在将生物标志物常规应用于临床实践之前,它必须通过促使临床采取行动来积极影响患者相关的结局,从而证明其具有临床实用性。由于成本高、持续时间长,针对死亡率终点的随机对照早期检测实用性试验极具挑战性。需要进行特殊的设计考虑来确定早期检测检测的临床实用性。本评论报告了美国国立癌症研究所早期检测研究网络研究人员的讨论情况,概述了进行单一器官生物标志物驱动的临床实用性研究的推荐流程。我们在分阶段的生物标志物开发背景下展示了早期检测实用性研究。我们描述了与生物标志物检测特征、终点的临床背景、后期评估的性能标准和研究规模相关的研究方面。我们讨论了用于提高临床实用性试验效率和实用性的新型适应性设计方法。我们建议采用多种策略,包括采用真实世界证据、模拟试验和数学建模来规避开展早期检测实用性试验的挑战。

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