Table 5.

ROC curve analysis showing diagnostic performance of score in predicting CVST in suspected patients (n = 83)

Parameter	Value (95% CI)
Cutoff (p value)	≥ 9 (< 0.001)
AUROC	0.809 (0.72–0.897)
Sensitivity	79.6% (66–90)
Specificity	67.6% (49–83)
Positive predictive value	78% (64–88)
Negative predictive value	69.7% (51–84)
Diagnostic accuracy	74.4% (64–84)
Positive likelihood ratio	2.46 (1.48–4.08)
Negative likelihood ratio	0.3 (0.17–0.55)
Diagnostic odds ratio	8.15 (3–22.5)