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适用于带有时间事件终点的适应性富集设计的患者招募策略。

Patient recruitment strategies for adaptive enrichment designs with time-to-event endpoints.

机构信息

Department of Biomedical Statistics and Bioinformatics, Kyoto University Graduate School of Medicine, 54 Kawahara-cho, Shogoin, Sakyo-ku, Kyoto, 606-8507, Japan.

Biostatistics Department I, Data Science Division, A2 Healthcare Corporation, 1-4-12, Utsubohommachi, Nishi-ku, Osaka, 550-0004, Japan.

出版信息

BMC Med Res Methodol. 2019 Jul 22;19(1):159. doi: 10.1186/s12874-019-0800-2.

Abstract

BACKGROUND

Adaptive enrichment designs for clinical trials have great potential for the development of targeted therapies. They enable researchers to stop the recruitment process for a certain population in mid-course based on an interim analysis. However, adaptive enrichment designs increase the total trial period owing to the stoppage in patient recruitment to make interim decisions. This is a major drawback; it results in delays in the submission of clinical trial reports and the appearance of drugs on the market. Here, we explore three types of patient recruitment strategy for the development of targeted therapies based on the adaptive enrichment design.

METHODS

We consider recruitment methods which provide an option to continue recruiting patients from the overall population or only from the biomarker-positive population even during the interim decision period. A simulation study was performed to investigate the operating characteristics by comparing an adaptive enrichment design using the recruitment methods with a non-enriched design.

RESULTS

The number of patients was similar for both recruitment methods. Nevertheless, the adaptive enrichment design was beneficial in settings in which the recruitment period is expected to be longer than the follow-up period. In these cases, the adaptive enrichment design with continued recruitment from the overall population or only from the biomarker-positive population even during the interim decision period conferred a major advantage, since the total trial period did not differ substantially from that of trials employing the non-enriched design. By contrast, the non-enriched design should be used in settings in which the follow-up period is expected to be longer than the recruitment period, since the total trial period was notably shorter than that of the adaptive enrichment design. Furthermore, the utmost care is needed when the distribution of patient recruitment is concave, i.e., when patient recruitment is slow during the early period, since the total trial period is extended.

CONCLUSIONS

Adaptive enrichment designs that entail continued recruitment methods are beneficial owing to the shorter total trial period than expected in settings in which the recruitment period is expected to be longer than the follow-up period and the biomarker-positive population is promising.

摘要

背景

临床试验的适应性富集设计对于靶向治疗的开发具有巨大潜力。它们使研究人员能够根据中期分析停止对特定人群的招募过程。然而,由于停止招募患者以做出中期决策,适应性富集设计会增加总试验期。这是一个主要的缺点;它导致临床试验报告的提交延迟和药物上市延迟。在这里,我们根据适应性富集设计探索了三种靶向治疗开发的患者招募策略。

方法

我们考虑了提供从总体人群或仅从生物标志物阳性人群继续招募患者的选择的招募方法,即使在中期决策期间也是如此。通过比较使用招募方法的适应性富集设计与非富集设计的操作特征来进行模拟研究。

结果

两种招募方法的患者数量相似。然而,在预期招募期长于随访期的情况下,适应性富集设计是有益的。在这些情况下,即使在中期决策期间,从总体人群或仅从生物标志物阳性人群继续招募患者的适应性富集设计具有很大的优势,因为总试验期与采用非富集设计的试验没有显著差异。相比之下,在预期随访期长于招募期的情况下,应该使用非富集设计,因为总试验期明显短于适应性富集设计。此外,当患者招募分布为凹形时,即当早期患者招募缓慢时,需要格外小心,因为总试验期会延长。

结论

在预期招募期长于随访期且生物标志物阳性人群有希望的情况下,由于总试验期比预期的要短,因此需要继续招募方法的适应性富集设计是有益的。

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