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Doubly randomized delayed-start design for enrichment studies with responders or nonresponders

机译:双随机延迟启动设计,用于响应者和非响应者的富集研究

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摘要

High placebo response has been a major source of bias and is difficult to deal with in many central nervous system (CNS) clinical trials. This bias has led to a high failure rate in mood disorder trials even with known effective drugs. For cancer trials, the traditional parallel group design biases the inference on the maintenance effect of the new drug with the traditional time-to-treatment failure analysis. To minimize bias, we propose a doubly randomized delayed-start design for clinical trials with enrichment. The design consists of two periods. In the first period, patients can be randomized to receive several doses of a new drug or a control. In the second period, control patients of the first period of an enriched population can be rerandomized to receive the same or fewer doses of the new drug or to continue on the control. Depending on the clinical needs, different randomization ratios can be applied to the two periods. The essential feature is that the design is naturally adaptive because of the randomization for the second period. As a result, other aspects of the second period, such as the sample size, can be modified adaptively when an interim analysis is set up for the first period. At the end of the trial, response data from both randomizations are combined in an integrated analysis. Because of the enrichment in the second period, the design increases the probability of trial success and, in addition, reduces the required sample size. Thus, for clinical development, the design offers greater efficiency.
机译:较高的安慰剂反应一直是偏倚的主要来源,并且在许多中枢神经系统(CNS)临床试验中很难解决。即使使用已知的有效药物,这种偏见也导致情绪障碍试验中的高失败率。对于癌症试验,传统的平行组设计通过传统的治疗失败时间分析来推论新药的维持效果。为了最大程度地减少偏差,我们提出了一种用于临床试验的双重随机延迟启动设计。设计包括两个时期。在第一个阶段,患者可以被随机分配接受几剂新药或对照。在第二阶段,可以将第一批富裕人群的对照患者重新随机分配,以接受相同或更少剂量的新药或继续接受对照。根据临床需要,可以对两个时期应用不同的随机比率。本质特征是,由于第二周期的随机化,设计自然是自适应的。结果,当为第一阶段设置临时分析时,可以自适应地修改第二阶段的其他方面,例如样本大小。在试验结束时,将来自两个随机分组的响应数据合并到一个综合分析中。由于第二阶段的浓缩,该设计增加了试验成功的可能性,并且还减少了所需的样本量。因此,对于临床开发,该设计提供了更高的效率。

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