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Published on: September 20, 2019
Up-and-down designs for phase I clinical trials
Suyu Liu1, Chunyan Cai, Jing Ning
1Department of Biostatistics, The University of Texas M. D. Anderson Cancer Center, USA. syliu@mdanderson.org
The cumulative group up-and-down design offers superior performance for selecting the maximum tolerated dose (MTD) and ensuring patient safety in clinical trials. This advanced design improves upon traditional methods for dose escalation studies.
Area of Science:
- Clinical Trials Methodology
- Biostatistics
- Pharmacometrics
Background:
- Traditional "3 + 3" dose escalation designs face limitations in optimizing clinical trial efficiency and safety.
- Improved up-and-down designs exist but lack comprehensive guidance and practical assessment, hindering their adoption.
- Evaluating operating characteristics of dose-finding designs in realistic clinical settings is crucial.
Purpose of the Study:
- To review and comprehensively assess six up-and-down dose escalation designs.
- To compare the performance of these designs against a theoretical optimal bound.
- To provide guidance on selecting the most effective design for practical clinical settings.
Main Methods:
- Review of six distinct up-and-down designs: "3 + 3", accelerated titration, biased coin, k-in-a-row, group up-and-down, and cumulative group up-and-down.
- Extensive simulation studies to evaluate operating characteristics under various practical scenarios.
- Comparative analysis against the theoretical optimal bound for nonparametric designs.
Main Results:
- The cumulative group up-and-down design demonstrated superior performance across key metrics.
- This design excelled in accurately selecting the maximum tolerated dose (MTD).
- It also showed advantages in patient allocation to the MTD and overall patient safety.
Conclusions:
- The cumulative group up-and-down design is recommended for its robust performance in dose-finding studies.
- Its operating characteristics are generally close to the nonparametric optimal bound.
- While highly effective, further refinements may offer additional improvements in specific contexts.
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