Statistical Analysis Plan for the Aspiring to Reduce Events in Dialysis Trial (ASPIRED)

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Authors: Laurent Billot, Sarah E. Coggan, Li Fan, Vlado Perkovic, Xueqing Yu, Sunil V. Badve, Meg Jardine, Tan Ning, Wei Chen, Helen Monaghan, Menghua Chen, Zhiming He
+3 more Guixian Ma, Sradha S. Kotwal, Muh Geot Wong
Cited by: 0
References: 6

Abstract

Abstract The ASPIRED trial aims to determine whether a daily low-dose of aspirin is effective in preventing major cardiovascular events when compared to placebo in patients receiving dialysis. It is designed as a pragmatic trial two-arm double-blind randomised trial conducted within an established Dialysis Registry consisting of at least 80 centres and 30,000 participants. This statistical analysis plan pre-specifies the method of analysis for every outcome and key variables collected in the trial. The primary outcome is time from randomisation to first occurrence of major cardiovascular event including myocardial infarction, ischemic stroke or death from cardiovascular cause. The primary analysis will consist in a Cox proportional hazard model adjusted for stratification variables. The analysis plan also includes planned sensitivity analyses including covariate adjustments and subgroup analyses.

Fields of Study & Subjects

Antiplatelet Therapy and Cardiovascular Diseases Statistical Methods in Clinical Trials Dialysis and Renal Disease Management

Publication details

Journal / source
medRxiv
Publication date
13 January 2026
Document type
Preprint