Khan Anis A, Perlstein Itay, Krishna Rajesh
Quantitative Clinical Pharmacology, Department of Clinical Pharmacology, Merck Research Laboratories, Merck & Co., Inc., Whitehouse Station, New Jersey, USA.
AAPS J. 2009 Mar;11(1):33-8. doi: 10.1208/s12248-008-9074-z. Epub 2009 Jan 16.
A quickly realizable benefit of model-based drug development is in reducing uncertainty in risk/benefit, comprising individually of safety and effectiveness, two key attributes of a product evaluated for regulatory approval, marketing, and use. In this review, we investigate gaps and opportunities in using fundamental decision analytic principles in drug development and present a quantitative clinical pharmacology framework for the application of such aids for early clinical development decision making. We anticipate that implementation of such emerging tools will enable sufficient scientific understanding of the two attributes to facilitate the early termination of compounds with less than desirable risk/benefit profiles and continuance of compounds with acceptable risk/benefit profiles.
基于模型的药物开发的一个快速可实现的好处是降低风险/收益的不确定性,包括安全性和有效性这两个单独的方面,它们是产品在监管审批、上市和使用评估中的两个关键属性。在本综述中,我们研究了在药物开发中使用基本决策分析原则的差距和机会,并提出了一个定量临床药理学框架,用于将此类辅助工具应用于早期临床开发决策。我们预计,实施此类新兴工具将使人们对这两个属性有足够的科学理解,以便于尽早终止风险/收益状况不理想的化合物,并使风险/收益状况可接受的化合物得以继续研发。