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Study of Myocardial Perfusion and Coronary Anatomy Imaging Roles in Coronary Artery Disease (SPARC)
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Sample details

The SPARC study aimed to evaluate the diagnostic accuracy, cost-effectiveness, and prognostic value of different imaging modalities by assessing their use in patients with suspected coronary artery disease (CAD). The study began in 2006 with over 1,700 participants across 41 sites in the United States of America and Canada. Participants were followed up for 2 years, at various intervals, including after 90 days, 1 year and 2 years.

Study design
Cohort - clinical

Number of participants at first data collection

1,717 (participants)

Age at first data collection

Varied (participants)

Participant year of birth

Varied (participants)

Participant sex
All

Representative sample at baseline?
No

Sample features

Patients and clinical populations
Dataset details
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Countries

Canada, United States of America

Year of first data collection

2006

Primary Institutions

Brigham and Women’s Hospital (BWH) (Healthcare/Medical, United States of America)

Cardiac Specialists (Healthcare/Medical, United States of America)

Cardiovascular Associates (Healthcare/Medical, United States of America)

Cedars-Sinai Medical Center (Healthcare/Medical, United States of America)

Cleveland Clinic (Healthcare/Medical, United States of America)

Links

doi.org/10.1007/s12350-009-9140-7

Funders

Astellas Pharma Inc. (アステラス製薬株式会社) (Industry, Japan)

Bracco (Industry, Italy)

GE HealthCare (Industry, United States of America)

Siemens Healthineers (Industry, Germany)

Ongoing?
No

Data types collected

Quantitative data collection
  • Interview – phone
  • Physical or biological assessment (e.g. blood, saliva, gait, grip strength, anthropometry)
Qualitative data collection
  • None
Neuroimaging data collection
  • None
Linked or secondary data
  • None
Features

Engagement

  • None
  • Keywords

    Cardiovascular health and disease
    Disease detection
    Disease prevention
    Disease progression
    Heart disease and conditions
    Multi-site
    Noncommunicable diseases
    Predictors
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