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. 2019;67(2):495-501.
doi: 10.3233/JAD-180370.

Challenges for Optimizing Real-World Evidence in Alzheimer's Disease: The ROADMAP Project

John Gallacher  1 , Frederic de Reydet de Vulpillieres  2 , Billy Amzal  3 , Zuzanna Angehrn  3 , Christin Bexelius  4 , Christophe Bintener  5 , Jacoline C Bouvy  6 , Laura Campo  7 , Carlos Diaz  8 , Jean Georges  5 , Alastair Gray  9 , Antje Hottgenroth  10 , Pall Jonsson  6 , Brent Mittelstadt  11 , Michele H Potashman  12 , Catherine Reed  13 , Cathie Sudlow  14 , Robin Thompson  15 , Antje Tockhorn-Heidenreich  13 , Andrew Turner  12 , Johan van der Lei  16 , Pieter Jelle Visser  17 ; ROADMAP Consortium
Affiliations

Challenges for Optimizing Real-World Evidence in Alzheimer's Disease: The ROADMAP Project

John Gallacher et al. J Alzheimers Dis. 2019.

Abstract

ROADMAP is a public-private advisory partnership to evaluate the usability of multiple data sources, including real-world evidence, in the decision-making process for new treatments in Alzheimer's disease, and to advance key concepts in disease and pharmacoeconomic modeling. ROADMAP identified key disease and patient outcomes for stakeholders to make informed funding and treatment decisions, provided advice on data integration methods and standards, and developed conceptual cost-effectiveness and disease models designed in part to assess whether early treatment provides long-term benefit.

Keywords: Alzheimer’s disease; data sharing; data systems; health policy; patient outcome assessment; real-world clinical trials; systems integration.

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Figures

Fig.1
Fig.1
The ROADMAP data cube: the different data sources covered the whole disease spectrum and contained diverse outcomes/variables.
See this image and copyright information in PMC

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