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A theoretical framework for early human studies: uncertainty, intervention ensembles, and boundaries
1Biomedical Ethics Unit/Experimental Medicine, McGill University, 3647 Peel Street, Montreal, QB H3A 1X1, Canada. jonathan.kimmelman@mcgill.ca
Trials
|September 25, 2012
Summary
This study introduces a framework for early phase clinical trials to navigate methodological and ethical challenges. It helps researchers understand intervention ensembles, risks, and benefits for novel therapeutics development.
Area of Science:
- Drug development
- Clinical research methodology
- Bioethics
Background:
- Early phase clinical trials are critical for novel therapeutics but present significant methodological and ethical challenges.
- Researchers face uncertainty regarding outcomes, probabilities, and operational dimensions in early drug development.
- Existing frameworks may not adequately address the complexities of navigating uncertainty in early human studies.
Purpose of the Study:
- To propose a theoretical framework for early human studies to address methodological and ethical challenges.
- To guide researchers in transforming uncertainty into evidence regarding risk and benefit.
- To inform the development and optimization of intervention ensembles in early clinical trials.
Main Methods:
- The framework focuses on identifying operation dimensions that form an intervention ensemble.
- It aims to determine the probability of achieving target outcomes with specific intervention ensembles.
- The methodology involves defining the boundaries of dimension values, including inactive or excessive doses, within an intervention ensemble.
Main Results:
- Early human trials, guided by this framework, can establish grounds for belief about the risk-benefit profile of intervention ensembles.
- The framework facilitates the discovery and delimitation of effective intervention ensembles.
- Examples illustrate the practical application of the framework in defining intervention parameters.
Conclusions:
- The proposed framework offers a structured approach to managing uncertainty in early clinical development.
- It has implications for enhancing the ethics, methodology, and efficiency of novel therapeutic development.
- Implementing this framework can lead to more robust and informative early phase clinical trials.
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