开发量化比较方法来支持复杂的仿制药开发.
Yuqing Gong1, Francis-Xavier Barretto2, Yi Tsong3
1Division of Quantitative Methods and Modeling, Office of Research and Standards, Office of Generic Drugs, Center for Drug Evaluation and Research, U.S. Food and Drug Administration, 10903 New Hampshire Avenue, Silver Spring, Maryland, 20993, USA.
先进的定量方法为评估复杂的仿制药提供了新的途径,当传统的生物等价性测试不足时. 数据分析可以帮助为这些具有挑战性的产品开发合适的等价性评估方法.
科学领域:
- 制药科学 制药科学
- 监管科学 监管科学
- 数据分析数据分析数据分析.
背景情况:
- 美国食品和药物管理局 (FDA) 和复杂仿制药研究中心 (CRCG) 举行了一场关于仿制药开发建模的研讨会.
- 复杂的仿制药对传统的统计生物等效方法构成挑战.
研究的目的:
- 总结关于复杂仿制药开发的定量比较方法的讨论.
- 探索先进的定量方法在监管评估中的应用.
主要方法:
- 来自行业和FDA专家的演讲和小组讨论.
- 专注于三个关键领域:API相同性,粒子大小分布和溶解配置相似性.
主要成果:
- 复杂的数据分析挑战了传统的生物等效方法.
- 在同等性评估中使用数据分析存在重大机会.
结论:
- 先进的定量和数据分析方法对于复杂的仿制药开发至关重要.
- 需要新的方法来克服复杂仿制药的传统生物等价性测试的局限性.
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