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Outcome Measures for Disease-Modifying Trials in Parkinson’s Disease: Consensus Paper by the EJS ACT-PD Multi-Arm Multi-Stage Trial Initiative

  • Cristina Gonzalez-Robles
  • , Rimona S. Weil
  • , Wamelen D van
  • , Michèle Bartlett
  • , Matthew Burnell
  • , Caroline S. Clarke
  • , Michele T. Hu
  • , Brook Huxford
  • , Ashwani Jha
  • , Christian Lambert
  • , Michael Lawton
  • , Georgia Mills
  • , Alastair Noyce
  • , Paola Piccini
  • , Kuhan Pushparatnam
  • , Lynn Rochester
  • , Carroll Siu
  • , Caroline H. Williams-Gray
  • , Marie Louise Zeissler
  • , Henrik Zetterberg
  • Camille B. Carroll, Thomas Foltynie, Anette Schrag*
*Corresponding author for this work
  • University College London
  • Expert by Experience
  • University of Oxford
  • Queen Mary University of London
  • University of Bristol
  • Imperial College London
  • Newcastle University
  • University of Cambridge
  • University of Gothenburg

Research output: Contribution to journalArticlepeer-review

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Abstract

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.
Original languageEnglish
Pages (from-to)1011-1033
Number of pages0
JournalJournal of Parkinson's Disease
Volume13
Issue number6
Early online date8 Sept 2023
DOIs
Publication statusPublished - 8 Sept 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 16 - Peace, Justice and Strong Institutions
    SDG 16 Peace, Justice and Strong Institutions

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