Use of alternative and confirmatory data in support of rare disease drug development.

IF 1.2 4区 医学 Q4 PHARMACOLOGY & PHARMACY
Shein-Chung Chow, Anne Pariser, Steven Galson
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引用次数: 0

Abstract

Recently, the use of alternative and confirmatory data in support of rare disease drug development has received much attention (NASEM 2024). This article attempts to provide an overview regarding the limitations and major challenges of the use of ACD that are commonly encountered in rare disease drug (including biologics) product development. In addition, some innovative approaches using ACD under a novel two-stage hybrid adaptive trial design are proposed to assist the sponsors in rare disease drug development are proposed. Under the proposed hybrid adaptive trial design, statistical considerations regarding the implementation of ACD in support of the demonstration of the safety and efficacy in rare disease drug development are discussed.

使用替代和验证数据支持罕见病药物开发。
最近,使用替代和验证性数据来支持罕见病药物开发受到了广泛关注(NASEM 2024)。本文试图概述在罕见病药物(包括生物制剂)产品开发中常见的使用ACD的局限性和主要挑战。此外,本文还提出了在一种新的两阶段混合自适应试验设计下利用ACD进行罕见病药物开发的一些创新方法。在提出的混合适应性试验设计下,讨论了在罕见病药物开发中实施ACD以支持安全性和有效性论证的统计考虑。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of Biopharmaceutical Statistics
Journal of Biopharmaceutical Statistics 医学-统计学与概率论
CiteScore
2.50
自引率
18.20%
发文量
71
审稿时长
6-12 weeks
期刊介绍: The Journal of Biopharmaceutical Statistics, a rapid publication journal, discusses quality applications of statistics in biopharmaceutical research and development. Now publishing six times per year, it includes expositions of statistical methodology with immediate applicability to biopharmaceutical research in the form of full-length and short manuscripts, review articles, selected/invited conference papers, short articles, and letters to the editor. Addressing timely and provocative topics important to the biostatistical profession, the journal covers: Drug, device, and biological research and development; Drug screening and drug design; Assessment of pharmacological activity; Pharmaceutical formulation and scale-up; Preclinical safety assessment; Bioavailability, bioequivalence, and pharmacokinetics; Phase, I, II, and III clinical development including complex innovative designs; Premarket approval assessment of clinical safety; Postmarketing surveillance; Big data and artificial intelligence and applications.
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