volume 24 issue 2 publication number e2446

Optimizing Sample Size Determinations for Phase 3 Clinical Trials in Type 2 Diabetes

Alexander C. Cambon 1
james TRAVIS 1
Liping Sun 1
Jada Idokogi 2
Anna Kettermann 1
Publication typeJournal Article
Publication date2024-10-30
scimago Q1
wos Q2
SJR1.074
CiteScore3.2
Impact factor1.4
ISSN15391604, 15391612
PubMed ID:  39475306
Abstract
ABSTRACT

An informed estimate of subject‐level variance is a key determinate for accurate estimation of the required sample size for clinical trials. Evaluating completed adult Type 2 diabetes studies submitted to the FDA for accuracy of the variance estimate at the planning stage provides insights to inform the sample size requirements for future studies. From the U.S. Food and Drug Administration (FDA) database of new drug applications containing 14,106 subjects from 26 phase 3 randomized studies submitted to the FDA in support of drug approvals in adult type 2 diabetes studies reviewed between 2013 and 2017, we obtained estimates of subject‐level variance for the primary endpoint—change in glycated hemoglobin (HbA1c) from baseline to 6 months. In addition, we used nine additional studies to examine the impact of clinically meaningful covariates on residual standard deviation and sample size re‐estimation. Our analyses show that reduced sample sizes can be used without interfering with the validity of efficacy results for adult type 2 diabetes drug trials. This finding has implications for future research involving the adult type 2 diabetes population, including the potential to reduce recruitment period length and improve the timeliness of results. Furthermore, our findings could be utilized in the design of future endocrinology clinical trials.

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Cambon A. et al. Optimizing Sample Size Determinations for Phase 3 Clinical Trials in Type 2 Diabetes // Pharmaceutical Statistics. 2024. Vol. 24. No. 2. e2446
GOST all authors (up to 50) Copy
Cambon A., TRAVIS J., Sun L., Idokogi J., Kettermann A. Optimizing Sample Size Determinations for Phase 3 Clinical Trials in Type 2 Diabetes // Pharmaceutical Statistics. 2024. Vol. 24. No. 2. e2446
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TY - JOUR
DO - 10.1002/pst.2446
UR - https://onlinelibrary.wiley.com/doi/10.1002/pst.2446
TI - Optimizing Sample Size Determinations for Phase 3 Clinical Trials in Type 2 Diabetes
T2 - Pharmaceutical Statistics
AU - Cambon, Alexander C.
AU - TRAVIS, james
AU - Sun, Liping
AU - Idokogi, Jada
AU - Kettermann, Anna
PY - 2024
DA - 2024/10/30
PB - Wiley
IS - 2
VL - 24
PMID - 39475306
SN - 1539-1604
SN - 1539-1612
ER -
BibTex
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BibTex (up to 50 authors) Copy
@article{2024_Cambon,
author = {Alexander C. Cambon and james TRAVIS and Liping Sun and Jada Idokogi and Anna Kettermann},
title = {Optimizing Sample Size Determinations for Phase 3 Clinical Trials in Type 2 Diabetes},
journal = {Pharmaceutical Statistics},
year = {2024},
volume = {24},
publisher = {Wiley},
month = {oct},
url = {https://onlinelibrary.wiley.com/doi/10.1002/pst.2446},
number = {2},
pages = {e2446},
doi = {10.1002/pst.2446}
}