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Updated: May 6, 2026

A Tuberculosis Molecular Bacterial Load Assay TB-MBLA
Published on: April 30, 2020
A multi-arm multi-stage clinical trial design for binary outcomes with application to tuberculosis.
Daniel J Bratton1, Patrick P J Phillips, Mahesh K B Parmar
1Medical Research Council Clinical Trials Unit at University College London, 125 Kingsway, London, UK. daniel.bratton@ucl.ac.uk.
This study adapts multi-arm multi-stage (MAMS) designs for binary outcomes in tuberculosis trials. The new seamless phase II/III designs significantly reduce trial duration and sample size, accelerating new treatment evaluations.
Area of Science:
- Clinical trial methodology
- Pharmaceutical development
- Infectious disease research
Background:
- Randomised controlled trials (RCTs) face increasing cost and time demands.
- Multi-arm multi-stage (MAMS) designs were proposed to expedite treatment evaluation.
- MAMS designs discontinue poorly performing arms at interim analyses to improve efficiency.
Purpose of the Study:
- Adapt Royston's MAMS design for binary outcomes in tuberculosis (TB) trials.
- Demonstrate acceleration of new TB regimen evaluation using a seamless phase II/III design.
- Investigate bias in treatment effect estimation for arms continuing or ceasing randomization.
Main Methods:
- Adapted MAMS design for binary outcomes analyzed by absolute difference in proportions.
- Applied the design to tuberculosis drug development scenarios.
- Utilized simulations to validate methodology extensions and assess bias.
Main Results:
- Seamless phase II/III TB trial designs substantially reduce sample size and duration compared to separate trials.
- Bias in estimated treatment effects for the definitive outcome is minimal.
- Bias is particularly small when treatment selection uses intermediate outcomes or post-trial reanalysis.
Conclusions:
- The proposed seamless phase II/III designs are practical for various disease areas.
- These designs offer significant promise for accelerating new treatment evaluations, especially for TB.
- The methodology facilitates efficient testing of multiple new TB regimens.
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