Strategies and Recommendations for Using a Data‐Driven and Risk‐Based Approach in the Selection of First‐in‐Human Starting Dose: An International Consortium for Innovation and Quality in Pharmaceutical Development (IQ) Assessment

选择(遗传算法) 医学 模棱两可 表(数据库) 计算机科学 质量(理念) 风险分析(工程) 数据挖掘 人工智能 认识论 哲学 程序设计语言
作者
Michael W. Leach,David O. Clarke,Sherri Dudal,Chao Han,Chunze Li,Zheng Yang,Frank R. Brennan,Wendy J. Bailey,Yingxue Chen,Antoine Deslandes,Lise I. Loberg,Kapil Mayawala,Mark Rogge,Marque D. Todd,Nagendra Chemuturi
出处
期刊:Clinical Pharmacology & Therapeutics [Wiley]
卷期号:109 (6): 1395-1416 被引量:28
标识
DOI:10.1002/cpt.2009
摘要

Various approaches to first-in-human (FIH) starting dose selection for new molecular entities (NMEs) are designed to minimize risk to trial subjects. One approach uses the minimum anticipated biological effect level (MABEL), which is a conservative method intended to maximize subject safety and designed primarily for NMEs having high perceived safety risks. However, there is concern that the MABEL approach is being inappropriately used for lower risk molecules with negative impacts on drug development and time to patient access. In addition, ambiguity exists in how MABEL is defined and the methods used to determine it. The International Consortium for Innovation and Quality in Pharmaceutical Development convened a working group to understand current use of MABEL and its impact on FIH starting dose selection, and to make recommendations for FIH dose selection going forward. An industry-wide survey suggested the achieved or estimated maximum tolerated dose, efficacious dose, or recommended phase II dose was > 100-fold higher than the MABEL-based starting dose for approximately one third of NMEs, including trials in patients. A decision tree and key risk factor table were developed to provide a consistent, data driven-based, and risk-based approach for selecting FIH starting doses.
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