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Table 9 Receiver operating characteristic (ROC) curve evaluation for CVEV prediction

From: Can cardiac computed tomography predict cardiovascular events in asymptomatic type-2 diabetics?: results of a long term follow-up

Prediction of CVEV: ROC analysis AUC 95% CI p
Framingham 0.704 0.506 – 0.902 0.037
Glomerular filtration rate 0.262 0.132 – 0.392 0.015
Age 0.753 0.596 – 0.911 0.010
Calcium score 0.808 0.690 – 0.926 0.002
Clinical model 0.823 0.692 – 0.953 0.001
Clinical-CS model 0.832 0.692 – 0.972 0.001
CT model 0.833 0.711 – 0.955 0.001
Combined model 0.888 0.789 – 0.987 <0.001
ROC comparisons - Combined model vs: AUC (difference) 95% CI p
Glomerular filtration rate 0.150 0.004-0.260 0.008
Framingham 0.184 -0.002-0.370 0.052
Age 0.135 -0.015-0.284 0.078
Calcium score 0.080 -0.022-0.182 0.123
Clinical model 0.065 -0.009-0.140 0.086
Clinical-CS model 0.056 -0.023-0.135 0.164
CT model 0.055 -0.025-0.135 0.180
  1. Legend: Predictor models: CT model - composed by calcium score, obstructive Coronary Artery Disease and atherosclerotic plaques; Clinical model – composed by clinical parameters evaluated before Computed Tomography: Glomerular Filtration Rate, age, Framingham; Clinical-CS model – composed by clinical parameters and calcium score; Combined model – composed by parameters included in both clinical and CT models.
  2. Areas under ROC curves (AUC), 95% confidence intervals (CI) and the significance level (p) are presented.
  3. Results presented in this table are related to curves showed in Figure 2.