An Adaptive Information Borrowing Platform Design for Testing Drug Candidates of COVID-19.

ABSTRACT:

Background

There have been thousands of clinical trials for COVID-19 to target effective treatments. However, quite a few of them are traditional randomized controlled trials with low efficiency. Considering the three particularities of pandemic disease: timeliness, repurposing, and case spike, new trial designs need to be developed to accelerate drug discovery.

Methods

We propose an adaptive information borrowing platform design that can sequentially test drug candidates under a unified framework with early efficacy/futility stopping. Power prior is used to borrow information from previous stages and the time trend calibration method deals with the baseline effectiveness drift. Two drug development strategies are applied: the comprehensive screening strategy and the optimal

SUBMITTER: Su L 

PROVIDER: S-EPMC9029212 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature