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Table 2 Diagnostic evaluation indices and the evaluation of consistency with pathological diagnosis in the deep learning group and endoscopist group before and after propensity score matching

From: Deep learning as a novel method for endoscopic diagnosis of chronic atrophic gastritis: a prospective nested case–control study

CAG versus CNAG

Before matching (338 vs. 793)

After matching (338 vs. 338)

DL

Endoscopist

DL

Endoscopist

Sensitivity

84.02%

62.72%

84.02%

62.72%

Specificity

96.34%

80.45%

97.04%

81.95%

PV+

90.73%

57.77%

96.60%

77.66%

PV−

93.40%

83.51%

85.86%

68.73%

Accuracy

92.66%

75.15%

90.53%

72.34%

Youden index

80.36%

43.17%

81.06%

44.67%

Odd product

91.71

6.93

172.5

7.64

LR + 

22.96

3.21

28.39

3.47

LR−

0.17

0.46

0.16

0.45

AUC (95% CI)

0.906 (0.882–0.930)

0.735 (0.700–0.769)

0.909 (0.884–0.934)

0.740 (0.702–0.778)

Kappa

0.842

0.492

0.852

0.558

  1. DL deep learning, PV+ positive predictive value, PV− negative predictive value, LR+ positive likelihood ratio, LR− negative likelihood ratio