Table 3.

Comparison of performance efficiency between miRNA detection and Pap test for identifying missed high-grade lesions from colposcopy guided biopsy diagnosed LSIL/CIN1

miRNA	AUC (95% CI)	Sensitivity		Specificity		Positive predictive value		Negative predictive value
		95% CI	P	95% CI	P	95% CI	P	95% CI	P
miRNA195	0.86 (0.79–0.93)	88.9(69.7–97.0)	< 0.001	78(70.3–80.1)	0.0013	42.1(29.4–55.8)	0.41	97.5(92.3–99.3)	0.0015
miRNA29a	0.89 (0.84–0.93)	92.6(74.2–98.7)	< 0.001	80.7(73.2–86.4)	0.0077	46.2(32.8–60.2)	0.26	98.3(93.6–99.7)	0.00040
miRNA16–2	0.74 (0.65–0.83)	81.5(61.2–92.9)	< 0.001	61.3(53.0–69.0)	< 0.001	27.5(18.3–38.8)	0.71	94.8(87.8–98.0)	0.037
miRNA20a	0.83 (0.74–0.91)	77.8(57.2–90.6)	< 0.001	80.7(73.2–86.4)	0.0077	42(28.4–56.7)	0.42	95.2(89.5–98.0)	0.014
pap test	0.56(0.44–0.69)	22.22(9.3–42.7)		91.3(85.3–95.1)		31.5(13.5–56.5)		86.7(80.1–90.3)

P value refers to the comparison between miRNA and Pap test with Pearson Chi-square test. All statistical tests were two-sided. P value in boldface is less than 0.05 and considered statistically significant

The 95% confidence interval (CI) of proportions was calculated according to the following equation: p ±$\sqrt{1.96\mathrm{p}\left(1-p\right)/n}$, where n is the case number involved in the calculation of the proportion

AUC Area under curve

CI Confidence interval