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The Role of Adaptive and Innovative Trial Designs in Diabetes Research: A Scoping Review
Ashni Goshrani1, Rose Lin2, Leonid Churilov3,4
1Department of Diabetes and Endocrinology, Royal Melbourne Hospital, Parkville, Victoria, Australia.
Background:
Adaptive and master protocol clinical trials offer significant advantages for diabetes research, including enhanced efficiency and personalized treatment strategies.
Purpose:
This scoping review aimed to systematically map the use of adaptive and master protocol designs in interventional trials for type 1 and type 2 diabetes, identify research gaps, and highlight opportunities for broader implementation.
Data Sources:
A systematic literature search was performed using MEDLINE, Embase, CENTRAL, Emcare, Global Health, Web of Science, and clinical trial registries. Gray literature searches complemented database findings.
Study Selection:
Studies using adaptive, platform, basket, or umbrella trial designs in people with type 1 or type 2 diabetes were included.
Data Extraction:
Data were charted using a standardized form. Extracted variables included diabetes type, trial design, adaptive features, interventions, end points, and key findings.
Data Synthesis:
Of 396 articles screened, 6 published adaptive trials met the inclusion criteria: 3 in type 1 diabetes, 1 in type 2 diabetes, and 2 in diabetes-related neuropathy. Most used adaptive features for dose finding, response-adaptive randomization, and sample size reestimation. No published platform, basket, or umbrella trials were identified. Six ongoing adaptive trials in type 1 diabetes were identified through registry searches, four under an adaptive platform master protocol.
Limitations:
Despite a comprehensive search, some gray literature and unpublished studies may have been missed. Risk of bias was not assessed, consistent with scoping review methodology.
Conclusions:
Adaptive and master protocol trials remain rare in diabetes. Overcoming barriers through targeted training and awareness, robust regulatory frameworks, and strategic incentives could support broader adoption.
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