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CAPTURE ALS is a long-term data and biorepository platform that will facilitate future ALS research. CAPTURE ALS will provide the standardized systems and tools necessary to collect, store, and analyze vast amounts of multimodal information about ALS. These multimodal datasets and biosamples will be made available for use by researchers or industry across Canada and around the world in accordance with the CAPTURE ALS Data Sharing Policy to advance research on ALS.
In this observational study, participants with ALS and related disorders will be followed longitudinally over the course of a year to examine disease progression. Participants with ALS or a related disorder will have up to 5 in-person visits at screening, 0, 4, 8 and 12 months. Healthy controls are included as comparisons and will have 3 in-person visits at screening, 0 and 8 months. At each visit after screening, patients and healthy controls will undergo an MRI, neurocognitive and speech testing, clinical evaluations specific to ALS (ALSFRS-R, FVC, neurological exam, which are not completed by controls), answer questionnaires about their health and have biospecimens, including blood, saliva and optionally cerebrospinal fluid, collected.
Age
18 - No limit years
Sex
ALL
Healthy Volunteers
Yes
University of Alberta
Edmonton, Alberta, Canada
University of Toronto / Sunnybrook Health Sciences Centre
Toronto, Ontario, Canada
McGill University / Montreal Neurological Institute and Hospital
Montreal, Quebec, Canada
CHU de Quebec -Universite de Laval
Québec, Quebec, Canada
Start Date
September 12, 2021
Primary Completion Date
December 1, 2025
Completion Date
December 1, 2025
Last Updated
January 8, 2025
150
ESTIMATED participants
Lead Sponsor
University of Alberta
Collaborators
NCT07322003
NCT05104710
NCT07357428
Data Source & Attribution
This clinical trial information is sourced from ClinicalTrials.gov, a service of the U.S. National Institutes of Health.
Modifications: This data has been reformatted for display purposes. Eligibility criteria have been parsed into inclusion/exclusion sections. Location data has been geocoded to enable distance-based search. For the authoritative and most current information, please visit ClinicalTrials.gov.
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