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. 2019 Nov 26;50:135–143. doi: 10.1016/j.ebiom.2019.11.016

Table 2.

Diagnostic power of the single and three-miRNA signatures in validation patients. A receiver operating characteristic (ROC) curve analysis was performed, and the area under the ROC curve (AUC) was calculated to evaluate the diagnostic value. The optimal cut-off value, sensitivity, and specificity were determined by calculating the Youden index.

miRNAs Optimal cut-off value Se (%) Sp (%) AUC 95% CI P
mir-383 1.175 93.3 88.0 0.924 0.880–0.967 <0.0001
mir-615 0.855 82.6 97.3 0.890 0.837–0.942 <0.0001
mir-877 0.715 81.5 89.3 0.868 0.810–0.926 <0.0001
mir-383/mir-615/mir-877 0.129 89.3 98.9 0.986 0.973–0.999 <0.0001

Se, Sensitivity; Sp, Specificity; AUC, Area Under the Curve; CI, Confidence Interval.