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Published on: January 29, 2019
Dose-finding design driven by efficacy in onco-hematology phase I/II trials
V Seegers1, S Chevret, M Resche-Rigon
1Département de Biostatistique et Informatique Médicale, AP-HP, INSERM UMR 717, Université Paris Diderot-Paris 7, Hôpital Saint-Louis, 1 avenue Claude Vellefaux, 75010 Paris, France.
This study introduces a new adaptive model for finding optimal drug doses in early-phase clinical trials, considering both efficacy and safety. The method identifies doses with high efficacy while keeping toxicity below a set limit.
Area of Science:
- Clinical Trials
- Biostatistics
- Pharmacology
Background:
- Phase I/II clinical trials often assess both drug efficacy and toxicity.
- Traditional methods focus on maximum tolerated dose or the most successful dose (efficacy without toxicity).
- A gap exists in methods that balance efficacy and safety under a specific toxicity threshold.
Purpose of the Study:
- To develop an adaptive, model-based dose-finding procedure for Phase I/II trials.
- To propose a novel definition of treatment success based on efficacy and controlled toxicity.
- To evaluate the performance of the proposed method using simulations and a real-world case study.
Main Methods:
- The study employs an adaptive model-based approach for dose escalation.
- A joint statistical model is utilized to simultaneously estimate probabilities of efficacy response and toxicity.
- Dose selection is guided by the probability of dose-limiting toxicity remaining below a predefined threshold.
Main Results:
- Simulations demonstrated the procedure's ability to identify effective and safe dose levels.
- The proposed method offers a more nuanced approach compared to traditional maximum tolerated dose strategies.
- Retrospective analysis of a chronic lymphocytic leukemia trial showcased the method's practical applicability.
Conclusions:
- The presented adaptive model provides a robust framework for dose finding in early-phase trials.
- This approach enhances the balance between therapeutic efficacy and patient safety.
- The method is suitable for trials where both efficacy and toxicity data are concurrently collected.
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