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Table 4 Sensitivity, specificity, and odds ratios of the three clinical risk factor algorithms for CIN3+ or CIS/SCC/AC detection

From: Combined clinical and genetic testing algorithm for cervical cancer diagnosis

Target genes

Cutoff

Sensitivity (%) (95 % CI)

Specificity (%) (95 % CI)

AUC (%) (95 % CI)

Odds ratio (95 % CI)

P value

CIN3+ lesion

 Algorithm 1

220

89.87 (84.18–93.67)

75.95 (70.72–80.50)

82.9 (78.9–86.9)

28.02 (15.65–50.17)

<0.001

 Algorithm 2

220

86.08 (79.82–90.62)

80.76 (75.84–84.87)

83.4 (79.3–87.5)

25.94 (15.17–44.36)

<0.001

 Algorithm 3

220

92.41 (87.19–95.60)

72.51 (67.11–77.32)

82.5 (78.5–86.4)

32.09 (16.88–61.00)

<0.001

CIS/SCC/AC

 Algorithm 1

220

96.51 (90.24–98.81)

64.46 (59.41–69.21)

78.8 (74.2–83.5)

50.19 (15.55–161.98)

<0.001*

 Algorithm 2

220

100.0 (94.87–100.0)

70.80 (65.92–75.24)

84.0 (80.4–87.6)

–

–

 Algorithm 3

220

100.0 (94.87–100.0)

61.43 (56.33–66.30)

79.5 (75.3–83.7)

–

–

  1. P value determined by chi-squared test and *Fisher’s exact test; odds ratio for CIN3+ or CIS/SCC/AC
  2. CI confidence interval, Gene m methylated gene