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应对罕见病治疗研发挑战的新型临床试验设计与分析方法。

Novel clinical trial design and analytic methods to tackle challenges in therapeutic development in rare diseases.

作者信息

Li Yimei, Izem Rima

机构信息

Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania Perelman School of Medicine, PA, USA.

Statistical Methodology and Consulting, Novartis, Basel, Switzerland.

出版信息

Ann Transl Med. 2022 Sep;10(18):1034. doi: 10.21037/atm-21-5496.

DOI:10.21037/atm-21-5496
PMID:36267797
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9577738/
Abstract

While only a fraction of the worldwide population may have a particular rare disorder, millions of people worldwide are affected across the over 6,000 rare disorders and do not have a safe and effective approved therapy to help them live or manage complications from the disorder. Challenges to clinical development of new therapies in rare disorders include difficulty in powering and recruiting into a study in small and often heterogenous population, scarcity of natural history data informing critical design elements such as endpoint selection and study duration, and ethical and recruitment challenges in randomizing patients to a placebo arm. In this review, we describe some existing and novel strategies to tackle these challenges, by efficient utilization of available resources. We discuss the role of natural history studies and endpoint selection as they remain critical features that apply across designs and disorders. We also review some novel clinical trial designs including incorporating external control and/or longitudinal measures, master protocol designs, and adaptive designs. Additionally, we review some analytic strategies that are often associated with these designs, such as the use of causal inference methods, and Bayesian methods. We hope this review will raise awareness of these novel approaches and encourage their use in studies of rare diseases.

摘要

虽然全球只有一小部分人口可能患有某种特定的罕见疾病,但全球数百万人受到6000多种罕见疾病的影响,却没有安全有效的获批疗法来帮助他们生存或控制疾病并发症。罕见病新疗法临床开发面临的挑战包括:在规模小且往往异质性较大的人群中开展研究时,难以获得足够的样本量和招募到足够的患者;缺乏自然史数据来为终点选择和研究持续时间等关键设计要素提供信息;以及在将患者随机分配到安慰剂组时面临伦理和招募方面的挑战。在本综述中,我们描述了一些现有和新颖的策略,通过有效利用可用资源来应对这些挑战。我们讨论了自然史研究和终点选择的作用,因为它们仍然是适用于各种设计和疾病的关键特征。我们还回顾了一些新颖的临床试验设计,包括纳入外部对照和/或纵向测量、主方案设计和适应性设计。此外,我们回顾了一些通常与这些设计相关的分析策略,如因果推断方法和贝叶斯方法的使用。我们希望本综述能提高对这些新颖方法的认识,并鼓励在罕见病研究中使用它们。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5670/9577738/14fc8c968b4b/atm-10-18-1034-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5670/9577738/14fc8c968b4b/atm-10-18-1034-f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5670/9577738/14fc8c968b4b/atm-10-18-1034-f1.jpg

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