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Effect of sample size re-estimation in adaptive clinical trials for Alzheimer's disease and mild cognitive impairment

INTRODUCTION: The sample size re-estimation (SSR) adaptive design allows interim analyses and resultant modifications of the ongoing trial to preserve or increase power. We investigated the applicability of SSR in Alzheimer's disease (AD) trials using a meta-database of clinical studies. METHOD...

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Detalles Bibliográficos
Autores principales: Wang, Guoqiao, Kennedy, Richard E., Cutter, Gary R., Schneider, Lon S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5975045/
https://www.ncbi.nlm.nih.gov/pubmed/29854926
http://dx.doi.org/10.1016/j.trci.2015.03.002
Descripción
Sumario:INTRODUCTION: The sample size re-estimation (SSR) adaptive design allows interim analyses and resultant modifications of the ongoing trial to preserve or increase power. We investigated the applicability of SSR in Alzheimer's disease (AD) trials using a meta-database of clinical studies. METHODS: Based on six studies, we simulated clinical trials using Alzheimer's Disease Assessment Scale-cognitive subscale (ADAS-Cog) as primary outcome. A single SSR based on effect sizes or based on variances was conducted at 6 months and 12 months. Resultant power improvement and sample size adjustments were evaluated. RESULTS: SSR resulted in highly variable outcomes for both sample size increases and power improvement. The gain in power after SSR varies by initial sample sizes, trial durations, and effect sizes. CONCLUSIONS: SSR adaptive designs can be effective for trials in AD and mild cognitive impairment with small or medium initial sample sizes. However, SSR in larger trials (>200 subjects per arm) generates no major advantages over the typical randomized trials.