Table 1 Demographic characteristics of EGC patients in the training and validation sets.

From: A nomogram for predicting non-curative resection in patients with early gastric cancer based on white light imaging

Variables

Training set (n = 455)

n (%)

Validation set (n = 113)

n (%)

CR (n = 385)

NCR (n = 70)

P value

CR (n = 92)

NCR (n = 21)

P value

Sex

 Male

277 (71.9)

54 (77.1)

> 0.05

67 (72.8)

15 (71.4)

> 0.05

 Female

108 (28.1)

16 (22.9)

 

25 (27.2)

6 (28.6)

Age (year)

 ≥ 60

253 (65.7)

38 (54.3)

> 0.05

29 (31.5)

8 (38.1)

> 0.05

 < 60

132 (34.3)

32 (45.7)

 

63 (68.5)

13 (61.9)

Smoking

146 (37.9)

27 (38.6)

> 0.05

32 (34.8)

10 (47.6)

> 0.05

Drinking

104 (27.0)

27 (38.6)

> 0.05

28 (30.4)

8 (38.1)

> 0.05

Hypertension

110 (28.6)

19 (27.1)

> 0.05

27 (29.3)

4 (19.0)

> 0.05

Diabetes

45 (11.7)

4 (5.7)

> 0.05

15 (16.3)

4 (19.0)

> 0.05

BMI

 < 25

214 (55.6)

40 (57.1)

> 0.05

51 (56.7)

14 (66.7)

> 0.05

 ≥ 25

17 (44.4)

30 (42.9)

 

39 (43.3)

7 (33.3)

CEA

 < 2.34

244 (63.4)

37 (52.9)

> 0.05

59 (67.0)

16 (76.2)

> 0.05

 ≥ 2.34

122 (31.7)

31 (44.3)

 

29 (33.0)

5 (23.8)

  1. CR curative resection, NCR non-curative resection, BMI body mass index.