Maximizing the Utility of Alzheimer’s Disease Trial Data: Sharing of Baseline A4 and LEARN Data - 21/11/24

Doi : 10.14283/jpad.2024.120 
Gustavo A. Jimenez-Maggiora 1, , A.P. Schulz 2, M.C. Donohue 1, H. Qiu 1, S.N. Jaiswal 1, O. Adegoke 1, R. Gallardo 1, O. Baryshnikava 1, R.A. Rissman 1, S. Abdel-Latif 1, R.A. Sperling 2, P.S. Aisen 1

A4 and LEARN Study Teams

1 Alzheimer’s Therapeutic Research Institute, University of Southern California, 9860 Mesa Rim Road, 92121, San Diego, CA, USA 
2 Center for Alzheimer Research and Treatment, Brigham and Women’s Hospital, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA 

a drentz@bwh.harvard.edu drentz@bwh.harvard.edu

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Abstract

Background

The Anti-Amyloid Treatment in Asymptomatic Alzheimer’s Disease (A4) and Longitudinal Evaluation of Amyloid Risk and Neurodegeneration (LEARN) studies were conducted between 2014 and 2023, with enrollment completed in 2017 and final study results reported in 2023. The study screening process involved the collection of initial clinical, cognitive, neuroimaging, and genetic measures to determine eligibility. Once randomized, enrolled participants were assessed every four weeks over a 4.5-year follow-up period during which longitudinal clinical, cognitive, and neuroimaging measures were collected. A large number of longitudinal fluid biospecimens were also collected and banked. Consistent with the NIH data sharing policy and the principles of Open Science, the A4/LEARN investigators aimed to share data as broadly and early as possible while still protecting participant privacy and confidentiality and the scientific integrity of the studies.

Objectives

We describe the approach, methods, and platforms used to share the A4 and LEARN pre-randomization study data for secondary research use. Preliminary results measuring the impact of these efforts are also summarized. We conclude with a discussion of lessons learned and next steps.

Design

The materials shared included de-identified quantitative and image data, analysis software, instruments, and documentation.

Setting

The A4 and LEARN Studies were conducted at 67 clinical trial sites in the United States, Canada, Japan, and Australia.

Participants

The A4 study screened (n=6763), enrolled, and randomized (n=1169) participants between the ages of 65 and 85 with a blinded follow-up period of 240 weeks followed by an open-label period of variable length. The LEARN study screened and enrolled individuals (n=538) who were ineligible for the A4 study based on nonelevated measures of amyloid accumulation using positron emission tomography imaging (amyloid PET).

Measurements

We provide descriptive measures of the data shared and summarize the frequency, characteristics, and status of all data access requests submitted to date. We evaluate the scientific impact of the data-sharing effort by conducting a literature search to identify related publications.

Results

The A4 and LEARN pre-randomization study data were released in December 2018. As of May 8, 2024, 1506 requests have been submitted by investigators and citizen scientists from more than 50 countries. We identified 49 peer-reviewed publications that acknowledge the A4/LEARN study.

Conclusions

Our initial results provide evidence supporting the feasibility and scientific utility of broad and timely sharing of Alzheimer’s disease trial data.

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Key words : Alzheimer’s disease, clinical trials, data sharing, open science


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© 2024  THE AUTHORS. Published by Elsevier Masson SAS on behalf of SERDI Publisher.. Publié par Elsevier Masson SAS. Tous droits réservés.
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Vol 11 - N° 4

P. 889-894 - août 2024 Retour au numéro
Article précédent Article précédent
  • Left Frontoparietal Control Network Connectivity Moderates the Effect of Amyloid on Cognitive Decline in Preclinical Alzheimer’s Disease: The A4 Study
  • R. Boyle, H.M. Klinger, Z. Shirzadi, G.T. Coughlan, M. Seto, M.J. Properzi, D.L. Townsend, Z. Yuan, C. Scanlon, R.J. Jutten, K.V. Papp, R.E. Amariglio, D.M. Rentz, J.P. Chhatwal, M.C. Donohue, R.A. Sperling, A.P. Schultz, Rachel F. Buckley, A4 Study Team
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  • Robin Ziyue Zhou, A. Wimo, B. Winblad

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