Chow Shein-Chung, Song Fuyu, Chen Meng
a Department of Biostatistics and Bioinformatics, Duke University School of Medicine , Durham , North Carolina , USA.
b Peking University Clinical Research Institute, Peking University Health Science Center , Beijing , China.
J Biopharm Stat. 2016;26(1):178-86. doi: 10.1080/10543406.2015.1092027.
Current regulation for generic approval is based on the assessment of average bioequivalence. As indicated by the United States Food and Drug Administration (FDA), an approved generic drug can be used as a substitute for the innovative drug. FDA does not indicate that two generic copies of the same innovative drug can be used interchangeably even though they are bioequivalent to the same brand-name drug. In practice, bioequivalence between generic copies of an innovative drug is not required. However, as more generic drug products become available, it is a concern whether the approved generic drug products have the same quality and therapeutic effect as the brand-name drug product and whether they can be used safely and interchangeably. In this article, several criteria including a newly proposed criterion for assessing drug interchangeability are studied. In addition, comments on possible study designs and power calculation for sample size under a specific design are also discussed.
目前仿制药批准的规定基于平均生物等效性评估。如美国食品药品监督管理局(FDA)所指出的,一种获批的仿制药可作为创新药的替代品。FDA并未表明同一创新药的两种仿制药可以互换使用,即便它们与同一品牌药具有生物等效性。在实际操作中,并不要求创新药的仿制药之间具有生物等效性。然而,随着越来越多的仿制药产品上市,获批的仿制药产品是否与品牌药产品具有相同的质量和治疗效果,以及它们是否可以安全地互换使用,成为了一个令人担忧的问题。在本文中,研究了包括一种新提出的评估药物互换性的标准在内的若干标准。此外,还讨论了关于特定设计下可能的研究设计以及样本量功效计算的相关评论。