Table 2.

Accuracy of the predictive models.

	Specificity (95%CI)	Sensitivity(95%CI)	Accuracy(95%CI)
2 Biomarkers	0.718(0.683–0.754)	0.984(0.975–0.992)	0.853(0.835–0.871)
3 Biomarkers	0.667(0.633–0.700)	0.976(0.966–0.986)	0.809(0.791–0.828)
4 Biomarkers	0.857(0.826–0.887)	0.898(0.875–0.920)	0.871(0.855–0.888)
5 Biomarkers	0.833(0.807–0.860)	0.901(0.880–0.922)	0.872(0.858–0.886)
6 Biomarkers	0.865(0.838–0.892)	0.916(0.898–0.934)	0.886(0.869–0.902)
7 Biomarkers	0.795(0.765–0.825)	0.965(0.952–0.978)	0.889(0.873–0.906)
8 Biomarkers	0.813(0.781–0.845)	0.929(0.910–0.948)	0.871(0.851–0.890)
9 Biomarkers	0.775(0.739–0.811)	0.925(0.905–0.945)	0.855(0.835–0.875)
10 Biomarkers	0.727(0.687–0.766)	0.921(0.902–0.940)	0.815(0.791–0.839)
11 Biomarkers	0.685(0.645–0.725)	0.849(0.822–0.876)	0.764(0.740–0.789)
12 Biomarkers	0.712(0.671–0.752)	0.836(0.806–0.867)	0.766(0.738–0.793)

All values are mean (lower and upper boundaries of the 95% confidence interval)