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Renji Cerebral Small Vessel Disease Cohort Study (RCCS)
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Sample details

The RCCS follows a cohort of 300 participants in China who experienced a stroke within one month prior to recruitment in order to observe outcomes and predictors of cognitive impairment in patients with cerebral small vessel diseases. At the time of recruitment, participants were aged 50 to 85 years and must have had at least six years of education. The study also recruited 100 healthy control participants.

Study design
Cohort - clinical

Number of participants at first data collection

300 (participants)

Age at first data collection

50 - 85 years (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

Older and elderly people
Patients and clinical populations
Stroke patients
Dataset details

Country

China

Year of first data collection

2013

Primary Institutions

Renji Hospital (仁济医院)

Links

cheba.unsw.edu.au/consortia/strokog/studies/renji-csvd-cohort-study-rccs

clinicaltrials.gov/ct2/show/NCT03544801

cambridge.org/core/journals/international-psychogeriatrics/article/deep-microbleeds-and-periventricular-white-matter-disintegrity-are-independent-predictors-of-attentionexecutive-dysfunction-in-nondementia-patients-with-small-vessel-disease/1CA98215A6C2D18397CB4E81937B73A7

Profile paper DOI
Not available

Funders

Renji Hospital

Ongoing?
Yes

Data types collected

neuroImagingData
mentalHealthData
Quantitative data collection
  • Computer, paper or task testing (e.g. cognitive testing, theory of mind doll task, attention computer tasks)
  • Interview – unspecified
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
Qualitative data collection
  • None
Neuroimaging data collection
  • Diffusion Tensor Imaging (DTI)
  • Magnetic Resonance Imaging (MRI)
Linked or secondary data
  • None
Features

Engagement

  • None
  • Keywords

    Biological samples/biospecimens
    Brain functioning
    Cardiovascular health and disease
    Geriatric health and disease
    Health and wellbeing
    Stroke

    Consortia and dataset groups

    Stroke and Cognition consortium (STROKOG)
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