Investigating started sample size, completed sample size and drop-out rate in 10 252 phase III clinical trials: Insights from ClinicalTrials.gov

被引:0
作者
Chen, Henian [1 ]
Pang, Jinyong [1 ]
Zhao, Yayi [1 ]
Cao, Biwei [1 ]
Valente, Matthew J. [1 ]
Cen, Weiliang [1 ]
Valkanova, Elena [1 ]
机构
[1] Univ S Florida, Coll Publ Hlth, Dept Biostat & Data Sci, 13201 Bruce B Downs Blvd, MDC 56, Tampa, FL 33612 USA
基金
美国国家卫生研究院;
关键词
clinical trial; ClinicalTrials.gov; drop-out rate; effect size; power; sample size; RANDOMIZED CONTROLLED-TRIALS; STATISTICAL POWER; FRAGILITY;
D O I
10.1002/bcp.70023
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Aims: This study investigated the started sample size, completed sample size and drop-out rate of 10 252 published and unpublished phase III clinical trials registered on over the past 20 years. Methods: We conducted a comprehensive search on for all phase III clinical trials with registered results before 26 May 2023. We retrieved and downloaded 10 252, which covered a period of more than 20 years. Results: Out of the 10 252 trials analysed, 889 (8.7%) were sponsored by the US National Institutes of Health/US Federal agencies (NIH/US Fed), 8429 (82.2%) were sponsored by industry. The overall median started sample size was 302. The overall median completed sample size was 228. The median completed sample sizes were 258 for industry-sponsored trials, and 194 for NIH/US Fed-sponsored trials. The median completed sample sizes were 321 for biological interventions and 223 for drug interventions. The overall median drop-out rate was 11%. Statistically significant differences were observed in sample sizes between industry-sponsored trials and NIH/US Fed-sponsored trials (P < 0.0001). Neither the started sample sizes nor the completed sample sizes have shown any change over the course of the past 20 years. Conclusions: Our findings indicate that a majority of the analysed trials lack sufficient statistical power (80%) to detect small effect sizes, and approximately half of the trials did not have 80% power to detect medium effect sizes. Notably, trials funded by NIH/US Fed exhibit significantly smaller sample sizes compared to trials sponsored by industry. When conducting sample size calculations for clinical trials, it is crucial to consider the anticipated effect size, variability and drop-out rate.
引用
收藏
页码:1957 / 1964
页数:8
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