Success and Futility Criteria for Accelerated Approval of Oncology Drugs.

IF 1.4 4区 医学 Q4 PHARMACOLOGY & PHARMACY Pharmaceutical Statistics Pub Date : 2025-03-01 DOI:10.1002/pst.70004
Dong Xi, Jiangtao Gou
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Abstract

Project FrontRunner encourages development of cancer drugs for advanced or metastatic disease in an earlier clinical setting by promoting regulatory approaches such as the accelerated approval pathway. The FDA draft guideline proposes a one-trial approach to combine accelerated approval and regular approval in a single trial to maintain efficiency. This article describes our idea of controlling Type I error for accelerated and regular approvals in the one-trial approach. We introduce success and futility boundaries on p-values for accelerated approval to create three outcomes: success, RA, and futility. If success, accelerated approval can be claimed for; for RA, only regular approval (RA) is considered; if futility, we stop the trial early for futility. For both success and RA, the endpoint for regular approval can be tested with no penalty on its significance level. The proposed approach is robust to all possible values of correlation between test statistics of the endpoints for accelerated and regular approvals. This framework is flexible to allow clinical trial teams to tailor success and futility boundaries to meet clinical and regulatory needs, while maintaining the overall Type I error control in the strong sense.

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肿瘤药物加速审批的成功和无效标准。
FrontRunner项目通过促进加速审批途径等监管方法,鼓励在早期临床环境中开发用于晚期或转移性疾病的癌症药物。FDA指南草案提出了一种单一试验的方法,将加速审批和常规审批结合在一起,以保持效率。本文描述了我们在一次试验方法中控制I型错误以加速和常规批准的想法。我们在加速审批的p值上引入成功和无效边界,以创建三种结果:成功、RA和无效。如果成功,可以申请加速审批;对于RA,只考虑定期批准(RA);如果是徒劳,我们提前停止试验。对于成功和RA,可以在其显著性水平上没有惩罚的情况下测试常规批准的终点。所提出的方法对于加速和常规批准的端点的测试统计之间的所有可能的相关性值具有鲁棒性。该框架是灵活的,允许临床试验团队定制成功和无效的边界,以满足临床和监管需求,同时保持整体的I型错误控制在强烈的意义上。
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来源期刊
Pharmaceutical Statistics
Pharmaceutical Statistics 医学-统计学与概率论
CiteScore
2.70
自引率
6.70%
发文量
90
审稿时长
6-12 weeks
期刊介绍: Pharmaceutical Statistics is an industry-led initiative, tackling real problems in statistical applications. The Journal publishes papers that share experiences in the practical application of statistics within the pharmaceutical industry. It covers all aspects of pharmaceutical statistical applications from discovery, through pre-clinical development, clinical development, post-marketing surveillance, consumer health, production, epidemiology, and health economics. The Journal is both international and multidisciplinary. It includes high quality practical papers, case studies and review papers.
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