Freidlin Boris, Korn Edward L, Gray Robert, Martin Alison
Division of Cancer Treatment and Diagnosis, National Cancer Institute, Bethesda, Maryland, USA.
Clin Cancer Res. 2008 Jul 15;14(14):4368-71. doi: 10.1158/1078-0432.CCR-08-0325.
A major challenge in the development of anticancer therapies is the considerable time and resources needed for conducting randomized clinical trials (RCT). There is a need for more efficient RCT designs that accelerate development, minimize costs, and make trials more appealing to patients. We review the statistical and logistical characteristics of multi-arm designs that compare several experimental treatments to a common control arm. In particular, we present a rationale for not requiring multiplicity adjustment in multi-arm trials that are designed for logistical efficiency. Relative to conducting separate RCTs for each experimental agent, this multi-arm design is shown to require a lower total sample size than multiple two-arm trials.
抗癌疗法研发中的一个主要挑战是开展随机临床试验(RCT)需要大量时间和资源。需要更高效的RCT设计,以加快研发进程、降低成本,并使试验对患者更具吸引力。我们回顾了将几种实验性治疗与一个共同对照臂进行比较的多臂设计的统计学和后勤学特征。特别是,我们提出了在为提高后勤效率而设计的多臂试验中无需进行多重性调整的理由。相对于为每种实验药物单独开展RCT,这种多臂设计所需的总样本量比多个双臂试验要少。