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Lookup NU author(s): Professor Lynn RochesterORCiD, Dr Marie-Louise Zeissler, Professor Camille CarrollORCiD
This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
© 2023-The authors. Published by IOS Press.Background: Multi-Arm, multi-stage (MAMS) platform trials can accelerate the identification of disease-modifying treatments for Parkinson's disease (PD) but there is no current consensus on the optimal outcome measures (OM) for this approach. Objective: To provide an up-To-date inventory of OM for disease-modifying PD trials, and a framework for future selection of OM for such trials. Methods: As part of the Edmond J Safra Accelerating Clinical Trials in Parkinson Disease (EJS ACT-PD) initiative, an expert group with Patient and Public Involvement and Engagement (PPIE) representatives' input reviewed and evaluated available evidence on OM for potential use in trials to delay progression of PD. Each OM was ranked based on aspects such as validity, sensitivity to change, participant burden and practicality for a multi-site trial. Review of evidence and expert opinion led to the present inventory. Results: An extensive inventory of OM was created, divided into: general, motor and non-motor scales, diaries and fluctuation questionnaires, cognitive, disability and health-related quality of life, capability, quantitative motor, wearable and digital, combined, resource use, imaging and wet biomarkers, and milestone-based. A framework for evaluation of OM is presented to update the inventory in the future. PPIE input highlighted the need for OM which reflect their experience of disease progression and are applicable to diverse populations and disease stages. Conclusion: We present a range of OM, classified according to a transparent framework, to aid selection of OM for disease-modifying PD trials, whilst allowing for inclusion or re-classification of relevant OM as new evidence emerges.
Author(s): Gonzalez-Robles C, Weil RS, Van Wamelen D, Bartlett M, Burnell M, Clarke CS, Hu MT, Huxford B, Jha A, Lambert C, Lawton M, Mills G, Noyce A, Piccini P, Pushparatnam K, Rochester L, Siu C, Williams-Gray CH, Zeissler M-L, Zetterberg H, Carroll CB, Foltynie T, Schrag A
Publication type: Article
Publication status: Published
Journal: Journal of Parkinson's Disease
Year: 2023
Volume: 13
Issue: 6
Pages: 1013-1035
Online publication date: 08/09/2023
Acceptance date: 23/06/2023
Date deposited: 30/01/2024
ISSN (print): 1877-7171
ISSN (electronic): 1877-718X
Publisher: IOS Press BV
URL: https://doi.org/10.3233/JPD-230051
DOI: 10.3233/JPD-230051
Data Access Statement: Data sharing is not applicable to this article as no datasets were generated or analyzed during this study.
PubMed id: 37545260
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