Why the study?
Although CAD-RADS offers structured reporting for coronary computed tomography angiography and has been deemed useful for prognostication, its overall prognostic value in suspected CAD required meta-analytic assessment.
Does CAD-RADS categorization predict major adverse cardiovascular events in patients with suspected coronary artery disease?
Population
37 596 coronary computed tomography angiography examinations from 13 studies in suspected CAD
Comparison
CAD-RADS categories compared across levels and against CAD-RADS 0
Design
Systematic review and meta-analysis
Key result
Combining CAD-RADS with conventional clinical risk factors and CAC resulted in a high predictive capacity for adverse events (pooled AUC 0.82; 95% CI 0.73-0.91).
Authors
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Supports integrating CAD-RADS with clinical factors and CAC for MACE stratification in suspected CAD; extends prior data with pooled high predictive value.
Meta-Analysis (n=37,596)
Does CAD-RADS categorization predict major adverse cardiovascular events in patients with suspected coronary artery disease?
Effect estimate: AUC 0.82 (95% CI 0.73-0.91)
CAD-RADS categorization provides significant prognostic value for predicting major adverse cardiovascular events and all-cause mortality in patients with suspected coronary artery disease.
Kato et al. (2024) conducted a meta-analysis in Suspected coronary artery disease (n=37,596). CAD-RADS vs. CAD-RADS 0 was evaluated on Major adverse cardiovascular events (AUC 0.82, 95% CI 0.73-0.91). Combining CAD-RADS with conventional clinical risk factors and CAC resulted in a high predictive capacity for adverse events (pooled AUC 0.82; 95% CI 0.73-0.91).