Chow S C, Liu J
Biostatistics and Data Management, Bristol-Myers Squibb Company, Plainsboro, New Jersey 08535, USA.
J Biopharm Stat. 1997 Mar;7(1):97-111. doi: 10.1080/10543409708835172.
The problem of drug interchangeability among a brand-name drug and its generic copies is considered. Under current Food and Drug Administration (FDA) regulation, a patient may switch from the brand-name drug to a generic drug if the generic drug is shown to be bioequivalent to the brand-name drug based on bioequivalence testing. After the patent of a brand-name drug is expired, usually there will be a number of generic copies available on the market. The FDA does not indicate that a patient may switch from a generic to another even though both of the generic drugs are bioequivalent to the brand-name drug. As a result, drug interchangeability among the brand-name and its generic copies is a safety concern. In this paper, we propose to perform a meta-analysis for an overview of bioequivalence. The proposed meta-analysis provides an assessment of bioequivalence among generic copies of a brand-name that can be used as a tool to monitor the performance of the approved generic copies of the brand-name drug. In addition, it provides more accurate estimates of inter- and intrasubject variabilities of the drug product.
本文考虑了品牌药及其仿制药之间的药物互换性问题。根据美国食品药品监督管理局(FDA)目前的规定,如果仿制药在生物等效性测试中被证明与品牌药具有生物等效性,患者可以从品牌药转换为仿制药。品牌药专利过期后,市场上通常会有多种仿制药可供选择。FDA并未表明患者可以从一种仿制药转换为另一种仿制药,即使这两种仿制药都与品牌药具有生物等效性。因此,品牌药及其仿制药之间的药物互换性是一个安全问题。在本文中,我们建议进行一项荟萃分析以概述生物等效性。所提出的荟萃分析提供了对品牌药仿制药之间生物等效性的评估,可作为监测品牌药已获批仿制药性能的工具。此外,它还能更准确地估计药品的个体间和个体内变异性。