Kaizer Alexander M, Belli Hayley M, Ma Zhongyang, Nicklawsky Andrew G, Roberts Samantha C, Wild Jessica, Wogu Adane F, Xiao Mengli, Sabo Roy T
Department of Biostatistics and Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Department of Population Health, New York University Grossman School of Medicine, New York, NY, USA.
J Clin Transl Sci. 2023 Apr 28;7(1):e125. doi: 10.1017/cts.2023.537. eCollection 2023.
Clinical trials are constantly evolving in the context of increasingly complex research questions and potentially limited resources. In this review article, we discuss the emergence of "adaptive" clinical trials that allow for the preplanned modification of an ongoing clinical trial based on the accumulating evidence with application across translational research. These modifications may include terminating a trial before completion due to futility or efficacy, re-estimating the needed sample size to ensure adequate power, enriching the target population enrolled in the study, selecting across multiple treatment arms, revising allocation ratios used for randomization, or selecting the most appropriate endpoint. Emerging topics related to borrowing information from historic or supplemental data sources, sequential multiple assignment randomized trials (SMART), master protocol and seamless designs, and phase I dose-finding studies are also presented. Each design element includes a brief overview with an accompanying case study to illustrate the design method in practice. We close with brief discussions relating to the statistical considerations for these contemporary designs.
随着研究问题日益复杂且资源可能有限,临床试验也在不断发展。在这篇综述文章中,我们讨论了“适应性”临床试验的出现,这种试验允许根据不断积累的证据对正在进行的临床试验进行预先计划的修改,并应用于转化研究。这些修改可能包括由于无效或有效而在试验完成前终止试验、重新估计所需样本量以确保足够的检验效能、富集纳入研究的目标人群、在多个治疗组中进行选择、修改用于随机化的分配比例,或选择最合适的终点。还介绍了与从历史或补充数据源借用信息、序贯多重分配随机试验(SMART)、主方案和无缝设计以及I期剂量探索研究相关的新兴主题。每个设计元素都包括简要概述以及一个案例研究,以说明该设计方法在实际中的应用。我们最后简要讨论了这些当代设计的统计考量。