Dynamic clinical trial success rates for drugs in the 21st century

In clinical drug development, two fundamental questions must be addressed: what is the success rate of drugs in clinical trial; how does such rate change over time. Here, a dynamic strategy for calculating clinical trial success rate (ClinSR) is proposed, which identifies that: the ClinSR has been declining since the early 21st century, yet it hits a plateau and recently starts to increase; the ClinSR for repurposed drugs is unexpectedly lower than that for all drugs in recent years; and an extremely low ClinSR is found for anti-COVID-19 drugs. In-depth analysis reports great variations among the ClinSRs of various diseases, developmental strategies, and drug modalities. A platform ClinSR.org ( https://ClinSR.org/ ), is then developed to show how ClinSRs change over time. All in all, this work enables accurate, timely and continuous assessment of ClinSRs, for now and the future, to aid pharmaceutical and economic decision making.

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Publication Details

Journal
Nature Communications
Published
2025-10-29
DOI
https://doi.org/10.1038/s41467-025-64552-2
Citations
4
Primary Topic
Statistical Methods in Clinical Trials
Type
article
Field-Weighted Citation Impact
10.52

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article

Dynamic clinical trial success rates for drugs in the 21st century

Ying Zhou, Jianbo Fu, Yunqing Qiu, Hongning Zhang et al.
4 citations
Nature Communications
Statistical Methods in Clinical Trials
10.52
article

Dynamic clinical trial success rates for drugs in the 21st century

Ying Zhou, Jianbo Fu, Yunqing Qiu, Hongning Zhang, Lianyi Han, Xinyi Shen, Yinghong Li, Yintao Zhang, Yuan Zhou, Xichen Lian, Haibin Dai, Yanzhong Wang, Hangwei Xu, Feng Zhu, Zhen Chen, Shijie Huang, Kaixuan Liu, Donghai Zhao, Wanqing Xie
article en
4 citations

Abstract

In clinical drug development, two fundamental questions must be addressed: what is the success rate of drugs in clinical trial; how does such rate change over time. Here, a dynamic strategy for calculating clinical trial success rate (ClinSR) is proposed, which identifies that: the ClinSR has been declining since the early 21st century, yet it hits a plateau and recently starts to increase; the ClinSR for repurposed drugs is unexpectedly lower than that for all drugs in recent years; and an extremely low ClinSR is found for anti-COVID-19 drugs. In-depth analysis reports great variations among the ClinSRs of various diseases, developmental strategies, and drug modalities. A platform ClinSR.org ( https://ClinSR.org/ ), is then developed to show how ClinSRs change over time. All in all, this work enables accurate, timely and continuous assessment of ClinSRs, for now and the future, to aid pharmaceutical and economic decision making.

Nature CommunicationsVol. 16(1)
King's College London (GB), Anhui Medical University (CN), Fudan University (CN), Westlake University (CN), Yale University (US), ETH Zurich (CH), Second Affiliated Hospital of Zhejiang University (CN), Huashan Hospital (CN), Zhejiang University (CN)
Zhejiang University
Openalex Percentile: Top 1%
Statistical Methods in Clinical Trials
10.52
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