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Transparent reporting of adaptive clinical trials using concurrently randomised cohorts

Authors :
Mark Jones
David Price
Jason Roberts
Joseph John
Tim Spelman
Thomas L Snelling
Vivekanand Jha
Steven Y C Tong
David Paterson
Balasubramanian Venkatesh
Naomi Hammond
James McFadyen
Robert Medcalf
Huyen Tran
Asha Bowen
Sanjeev Chunilal
Megan Rees
Joshua Davis
Justin Denholm
Susan Morpeth
Ian C Marschner
James McGree
James A Totterdell
Robert K Mahar
Bhupendra Basnet
Grace McPhee
Zoe McQuilten
Matthew O’Sullivan
Nanette Trask
Jennifer Curnow
Eileen Merriman
Todd Cooper
Julie Marsh
Source :
BMJ Medicine, Vol 2, Iss 1 (2023)
Publication Year :
2023
Publisher :
BMJ Publishing Group, 2023.

Abstract

Adaptive clinical trials have designs that evolve over time because of changes to treatments or changes to the chance that participants will receive these treatments. These changes might introduce confounding that biases crude comparisons of the treatment arms and makes the results from standard reporting methods difficult to interpret for adaptive trials. To deal with this shortcoming, a reporting framework for adaptive trials was developed based on concurrently randomised cohort reporting. A concurrently randomised cohort is a subgroup of participants who all had the same treatments available and the same chance of receiving these treatments. The reporting of pre-randomisation characteristics and post-randomisation outcomes for each concurrently randomised cohort in the study is recommended. This approach provides a transparent and unbiased display of the degree of baseline balance and the randomised treatment comparisons for adaptive trials. The key concepts, terminology, and recommendations underlying concurrently randomised cohort reporting are presented, and its routine use in adaptive trial reporting is advocated.

Subjects

Subjects :
Medicine

Details

Language :
English
ISSN :
27540413
Volume :
2
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMJ Medicine
Publication Type :
Academic Journal
Accession number :
edsdoj.5fb4ca321794c40b2977505be9d9985
Document Type :
article
Full Text :
https://doi.org/10.1136/bmjmed-2023-000497