학술논문

A blueprint for a multi-disease, multi-domain Bayesian adaptive platform trial incorporating adult and paediatric subgroups: the Staphylococcus aureus Network Adaptive Platform trial
Document Type
Report
Source
Trials. December 6, 2023, Vol. 24 Issue 1
Subject
United States
Language
English
ISSN
1745-6215
Abstract
Author(s): Robert K. Mahar[sup.1,2,3] , Anna McGlothlin[sup.4] , Michael Dymock[sup.5] , Todd C. Lee[sup.6] , Roger J. Lewis[sup.4,7] , Thomas Lumley[sup.8] , Jocelyn Mora[sup.9] , David J. Price[sup.1,9] , Benjamin [...]
The Staphylococcus aureus Network Adaptive Platform (SNAP) trial is a multifactorial Bayesian adaptive platform trial that aims to improve the way that S. aureus bloodstream infection, a globally common and severe infectious disease, is treated. In a world first, the SNAP trial will simultaneously investigate the effects of multiple intervention modalities within multiple groups of participants with different forms of S. aureus bloodstream infection. Here, we formalise the trial structure, modelling approach, and decision rules that will be used for the SNAP trial. By summarising the statistical principles governing the design, our hope is that the SNAP trial will serve as an adaptable template that can be used to improve comparative effectiveness research efficiency in other disease areas. Trial registrationNCT05137119. Registered on 30 November 2021. Keywords: Bayesian, Platform, Staphylococcus aureus, Trial, Randomised, Adaptive