Need for NAMs: A systematic evidence synthesis revealing over half a century of drug development failure.

NAM journal Pub Date : 2026-07-21 eCollection Date: 2026-01-01 DOI:10.1016/j.namjnl.2026.100119
Dilyana Filipova, Wolfgang Boomgaarden, Leyla Fox, Andrew Knight, Bettina Lickiss, Christian Maass, Gaby Neumann, Justine Watkins, Kathrin Herrmann, Lorna Ewart, Matthias Gossmann, Merel Ritskes-Hoitinga, Tamara Zietek
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Abstract

Background: Preclinical assessment of drug safety, efficacy and pharmacokinetics still relies largely on animal‑derived data, despite their limited ability to predict human outcomes. New Approach Methodologies (NAMs) are emerging as more human‑relevant preclinical tools. This systematic evidence synthesis examines (1) current levels and temporal trends in clinical drug attrition and (2) the proportion of failures attributed to biological factors such as safety, efficacy and pharmacokinetics that are routinely evaluated during preclinical testing, to identify priority areas for NAM implementation.

Methods and findings: We systematically searched PubMed on March 5, 2024, for peer-reviewed, English-language studies since 1963 reporting numerical primary data on clinical drug attrition rates and/or reasons for failure. The protocol was prospectively registered (osf.io/46mw5). We excluded non-original research and studies on specific cases, diseases, or single drug classes. Thirty-two publications met the criteria, yielding 60 attrition and 36 failure-reason datasets (1963-2017). Across six decades, mean clinical attrition ranged from ∼80 to ∼91 % with the highest rates within the past two decades. Overall, biological factors (safety, efficacy, pharmacokinetics) accounted for ∼77% of reported causes. Limitations include heterogeneous reporting, restriction to English, and exclusion of grey literature.

Conclusions: Clinical drug attrition has not improved in the last six decades, peaking at ∼91% in the 2000s-2010s, with most failures linked to biological factors. These findings suggest that prevailing preclinical approaches - many of which heavily rely on animal models - often have limited ability to predict clinical outcomes and highlight the urgent need for more predictive, human-relevant NAMs.

对NAMs的需求:揭示半个多世纪药物开发失败的系统性证据合成。
背景:药物安全性、有效性和药代动力学的临床前评估仍然主要依赖于动物来源的数据,尽管它们预测人类结果的能力有限。新方法方法学(NAMs)正在成为与人类更相关的临床前工具。这一系统的证据综合研究了(1)临床药物损耗的当前水平和时间趋势,(2)在临床前试验期间常规评估的生物因素(如安全性、有效性和药代动力学)导致的失败比例,以确定实施不不运动的优先领域。方法和发现:我们在2024年3月5日系统地检索PubMed,检索自1963年以来同行评议的英文研究,报告临床药物损耗率和/或失败原因的数字原始数据。协议被前瞻性注册(osf.io/46mw5)。我们排除了非原创性研究和针对特定病例、疾病或单一药物类别的研究。32篇出版物符合标准,产生60个磨损和36个失效原因数据集(1963-2017)。在过去的60年里,平均临床减员从80%到91%不等,在过去的20年里减员率最高。总体而言,生物因素(安全性、有效性、药代动力学)占报告原因的77%。限制包括异质报告、英语限制和排除灰色文献。结论:临床药物损耗在过去60年没有改善,在2000 -2010年达到91%的峰值,大多数失败与生物因素有关。这些发现表明,目前流行的临床前方法——其中许多严重依赖于动物模型——往往预测临床结果的能力有限,并强调迫切需要更具预测性的、与人类相关的NAMs。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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