Novel Design and Analysis for Rare Disease Drug Development

被引:3
作者
Chow, Shein Chung [1 ]
Pong, Annpey [2 ]
Chow, Susan S. [3 ]
机构
[1] Duke Univ, Sch Med, Dept Biostat & Bioinformat, Durham, NC 27710 USA
[2] Merck & Co Inc, Rahway, NJ 07065 USA
[3] Kansas City Univ, Coll Osteopath Med, Kansas City, MO 64106 USA
关键词
composite hypotheses; demonstrating not-ineffectiveness and not-unsafeness; randomized clinical trial (RCT); real-world data (RWD); orphan drug development; BENEFIT-RISK ASSESSMENT; BAYESIAN-APPROACH; CLINICAL-TRIALS;
D O I
10.3390/math12050631
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
For rare disease drug development, the United States (US) Food and Drug Administration (FDA) has indicated that the same standards as those for drug products for common conditions will be applied. To assist the sponsors in rare disease drug development, the FDA has initiated several incentive programs to encourage the sponsors in rare disease drug development. In practice, these incentive programs may not help in achieving the study objectives due to the limited small patient population. To overcome this problem, some out-of-the-box innovative thinking and/or approaches, without jeopardizing the integrity, quality, and scientific validity of rare disease drug development, are necessarily considered. These innovative thinking and/or approaches include but are not limited to (i) sample size justification based on probability statements rather than conventional power analysis; (ii) demonstrating not-ineffectiveness and not-unsafeness rather than demonstrating effectiveness and safety with the small patient population (i.e., limited sample size) available; (iii) the use of complex innovative designs such as a two-stage seamless adaptive trial design and/or an n-of-1 trial design for flexibility and the efficient assessment of the test treatment under study; (iv) using real-world data (RWD) and real-world evidence (RWE) to support regulatory submission; and (v) conducting an individual benefit-risk assessment for a complete picture of the clinical performance of the test treatment under investigation. In this article, we provide a comprehensive summarization of this innovative thinking and these approaches for an efficient, accurate and reliable assessment of a test treatment used for treating patients with rare diseases under study. Statistical considerations including challenges and justifications are provided whenever possible. In addition, an innovative approach that combines innovative thinking and these approaches is proposed for regulatory consideration in rare disease drug development.
引用
收藏
页数:18
相关论文
共 24 条
[1]  
[Anonymous], 2010, DRAFT GUIDANCE IND A
[2]  
Chow S. C., 2020, Innovative methods for rare disease drug development
[3]   Demonstrating effectiveness or demonstrating not ineffectiveness - A potential solution for rare disease drug product development? [J].
Chow, Shein-Chung ;
Huang, Zhipeng .
JOURNAL OF BIOPHARMACEUTICAL STATISTICS, 2019, 29 (05) :897-907
[4]   3 MEASURES FOR SIMULTANEOUSLY EVALUATING BENEFITS AND RISKS USING CATEGORICAL-DATA FROM CLINICAL-TRIALS [J].
CHUANGSTEIN, C ;
MOHBERG, NR ;
SINKULA, MS .
STATISTICS IN MEDICINE, 1991, 10 (09) :1349-1359
[5]   A four-step strategy for handling missing outcome data in randomised trials affected by a pandemic [J].
Cro, Suzie ;
Morris, Tim P. ;
Kahan, Brennan C. ;
Cornelius, Victoria R. ;
Carpenter, James R. .
BMC MEDICAL RESEARCH METHODOLOGY, 2020, 20 (01)
[6]   Bayesian Approach to Personalized Benefit-Risk Assessment [J].
Cui, Shiqi ;
Zhao, Yueqin ;
Tiwari, Ram C. .
STATISTICS IN BIOPHARMACEUTICAL RESEARCH, 2016, 8 (03) :316-324
[7]   Postmarketing safety of orphan drugs: a longitudinal analysis of the US Food and Drug Administration database between 1999 and 2018 [J].
Fan, Min ;
Chan, Adrienne Y. L. ;
Yan, Vincent K. C. ;
Tong, Xinning ;
Lau, Lauren K. W. ;
Wan, Eric Y. F. ;
Tam, Eliza Y. T. ;
Ip, Patrick ;
Lum, Terry Y. ;
Wong, Ian C. K. ;
Li, X. .
ORPHANET JOURNAL OF RARE DISEASES, 2022, 17 (01)
[8]  
FDA, 2021, Guidance for industry-real-world data: Assessing electronic health records and medical claims data to support regulatory decision-making for drug and biological products
[9]  
FDA, 2023, Guidance for industry: benefit-risk assessment for new Drug and biological products
[10]  
FDA, 2019, Guidance for industry on rare diseases: natural history studies for drug development