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Commentary: considerations for using the ‘Trials within Cohorts’ design in a clinical trial of an investigational medicinal product

Overview of attention for article published in Trials, January 2018
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Title
Commentary: considerations for using the ‘Trials within Cohorts’ design in a clinical trial of an investigational medicinal product
Published in
Trials, January 2018
DOI 10.1186/s13063-017-2432-3
Pubmed ID
Authors

Anna C. Bibby, David J. Torgerson, Samantha Leach, Helen Lewis-White, Nick A. Maskell

Abstract

The 'trials within cohorts' (TwiC) design is a pragmatic approach to randomised trials in which trial participants are randomly selected from an existing cohort. The design has multiple potential benefits, including the option of conducting multiple trials within the same cohort. To date, the TwiC design methodology been used in numerous clinical settings but has never been applied to a clinical trial of an investigational medicinal product (CTIMP). We have recently secured the necessary approvals to undertake the first CTIMP using the TwiC design. In this paper, we describe some of the considerations and modifications required to ensure such a trial is compliant with Good Clinical Practice and international clinical trials regulations. We advocate using a two-stage consent process and using the consent stages to explicitly differentiate between trial participants and cohort participants who are providing control data. This distinction ensured compliance but had consequences with respect to costings, recruitment and the trial assessment schedule. We have demonstrated that it is possible to secure ethical and regulatory approval for a CTIMP TwiC. By including certain considerations at the trial design stage, we believe this pragmatic and efficient methodology could be utilised in other CTIMPs in future.

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Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 18%
Student > Master 5 13%
Student > Bachelor 4 11%
Student > Ph. D. Student 3 8%
Other 2 5%
Other 6 16%
Unknown 11 29%
Readers by discipline Count As %
Medicine and Dentistry 14 37%
Nursing and Health Professions 3 8%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Engineering 2 5%
Agricultural and Biological Sciences 1 3%
Other 5 13%
Unknown 11 29%