Part II: Adaptive designs in pediatric clinical trials: specific examples, comparison with adult trials and a discussion for the child health community

Author:

Ben-Eltriki Mohamed1,Chhabra Manik1,Rafiq Aisha1,Afolabi Michael O.S.2,Paul Arun1,Prabhu Devashree3,Bashaw Robert4,Neilson Christine J5,Mahmud Salaheddin M4,Lacaze-Masmonteil Thierry6,Marlin Susan7,Offringa Martin8,Butcher Nancy J.9,Heath Anna9,Driedger Michelle4,Kelly Lauren E1

Affiliation:

1. Department of Pharmacology and Therapeutics, Max Rady College of Medicine, University of Manitoba, Winnipeg, MB

2. Department of Pediatrics and Child Health, University of Manitoba, Winnipeg, MB

3. George and Fay Yee Centre for Healthcare Innovation, Winnipeg, MB

4. Department of Community Health Sciences, University of Manitoba, Winnipeg, MB

5. Neil John Maclean Health Sciences Library, University of Manitoba, Winnipeg, MB

6. Department of Pediatrics, Cumming School of Medicine, University of Calgary, AB

7. Clinical Trials Ontario, Toronto, ON

8. Department of Paediatrics, Institute of Health Policy, Management & Evaluation, University of Toronto, ON

9. The Hospital for Sick Children, Toronto, ON

Abstract

Abstract Background In Part I of this review, we outlined the study characteristics and methodologies utilized in adaptive clinical trials reported in the literature from 2010–2020. Herein, the second part of this analysis presents a secondary analysis of the trials captured within this timeframe that enrolled children. Methods This analysis seeks to generate an evidence base that can inform practical recommendations that can shape the design, ethical considerations, and training on methods and reporting for pediatric adaptive design (AD) trials. We performed a secondary analysis of 43 AD trials involving children and compared the study characteristics with those of adult AD trials. Results There were one to five arms in these pediatric AD trials, with the most commonly reported adaptive methods being dose modifications (20/43, 46.5%) in dose-finding trials, followed by continual reassessment method (CRM), a model-based Bayesian design, reported in 20 studies (46.5%), and adaptive randomization (9/43, 20.9%). The frequentist framework (68.8%) was most commonly used for statistical analysis. Reporting indicated a lack of patient and parent engagement with clinicians and scientists during the clinical trial (CT) planning process and was only reported in 1 of the reviewed studies (1/43, 2.32%). Conclusion We reviewed examples of the most common types of adaptive designs used in pediatric trials and compared the methods used with adults’ trials. Against this background, we provide an overview of the different statistical approaches used and highlight the ethical considerations. The results of this review could serve as a reference for the development of guidelines and training materials to guide clinical researchers and trialists in the use of pediatric adaptive clinical trials. Study protocol registration: DOI:10.1186/s13063-018-2934-7

Publisher

Research Square Platform LLC

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