Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
300 participants
OBSERVATIONAL
2018-09-01
2030-12-31
Brief Summary
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This study aims to identify biomarkers for AD in local Chinese population. this study hypothesizes blood-based proteomics, retinal imaging, ASL-MRP and tau PET can improve the accuracy and staging of AD.
Detailed Description
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At the first five yearly follow ups, cognitive assessment will be performed. For the sixth yearly follow up, automatic retinal image will be performed in addition to cognitive assessment.
Conditions
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Keywords
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Normal cognition
75 subject without any of the following: subjective memory complaint and cognitive impairment base on cognitive assessments
No interventions assigned to this group
Subjective Cognitive Disorder
75 subjects without cognitive impairment based on cognitive cognitive assessments but with subject memory complaint
No interventions assigned to this group
Mild Cognitive Impairment
75 subjects with both subjective memory complaints and mild cognitive impairment base on cognitive assessments
No interventions assigned to this group
Dementia
75 subjects with both subjective memory complaints and moderate to severe cognitive impairment base on cognitive assessments
No interventions assigned to this group
Eligibility Criteria
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Inclusion Criteria
* \[For dementia group, clinical diagnosis of "probable Alzheimer's disease" according to recommendation from the National Institute on Aging-Alzheimer's Association workgroups (NIA-AA)
Exclusion Criteria
* contraindication for MRI or PET
20 Years
ALL
Yes
Sponsors
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Chinese University of Hong Kong
OTHER
Responsible Party
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Vincent Mok
Professor
Locations
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Chinese University of Hong Kong
Hong Kong, Hong Hong, Hong Kong
Countries
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Central Contacts
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Facility Contacts
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Elyia Han, Bachelor
Role: primary
Other Identifiers
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SEEDS
Identifier Type: -
Identifier Source: org_study_id