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Table 6 Baseline characteristics of the nested case–control study

From: Deep learning model can improve the diagnosis rate of endoscopic chronic atrophic gastritis: a prospective cohort study

Characteristic

CAG group (n = 109)

CNAG group (n = 159)

χ2/t

P value

Sex (n, %)

  

0.249

0.618

 Male

63 (57.8%)

87 (54.7%)

  

 Female

46 (42.2%)

72 (45.3%)

  

Age

56.41 ± 14.52

55.95 ± 13.93

 − 0.263

0.793

Distribution (n, %)

  

1.607

0.658

  < 40 yr

15 (13.8%)

16 (10.1%)

  

 40–59 yr

45 (41.3%)

76 (47.8%)

  

 60–75 yr

39 (35.8%)

55 (34.6%)

  

 > 75 yr

10 (9.2%)

12 (7.5%)

  

Indication (n, %)

  

0.190

0.909

 HP infection

30 (27.5%)

40 (25.2%)

  

 Screening

21 (19.3%)

32 (20.1%)

  

 Diagnostic

58 (53.2%)

87 (54.7%)

  

Smoking (n, %)

  

1.408

0.235

 No

82 (75.2%)

109 (68.6%)

  

 Yes

27 (24.8%)

50 (31.4%)

  

Drinking (n, %)

  

0.310

0.578

 No

74 (67.9%)

113 (71.1%)

  

 Yes

35 (32.1%)

46 (28.9%)

  

HP infection (n, %)

  

11.238

0.001

 No

51 (46.8%)

107 (67.3%)

  

 Yes

58 (53.2%)

52 (32.7%)

  
  1. CAG Chronic atrophic gastritis, CNAG chronic nonatrophic gastritis, HP Helicobacter pylori