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Table 1 Descriptive statistics on patients

From: Predicting postoperative gastric cancer prognosis based on inflammatory factors and machine learning technology

Death

No

Yes

P-value

N

806

524

 

Age (years)

56.1 ± 12.1

59.9 ± 11.2

< 0.001

Tumor size (cm)

4.3 ± 2.5

5.2 ± 2.6

< 0.001

NLR

2.3 ± 1.6

3.0 ± 3.4

< 0.001

PLR

145.0 ± 71.6

156.8 ± 93.5

0.033

Sex

  

0.862

Female

259 (32.1%)

166 (31.7%)

 

Male

547 (67.9%)

358 (68.3%)

 

Tumor location

  

< 0.001

Upper third

253 (31.4%)

258 (49.2%)

 

Middle third

173 (21.5%)

105 (20.0%)

 

Lower third

380 (47.1%)

161 (30.7%)

 

Histological grade

  

0.005

Well differentiated

155 (19.2%)

70 (13.4%)

 

Poorly differentiated

651 (80.8%)

454 (86.6%)

 

TNM stage

  

< 0.001

1

203 (25.2%)

17 (3.2%)

 

2

267 (33.1%)

67 (12.8%)

 

3

336 (41.7%)

440 (84.0%)

 

COP.NLR

  

< 0.001

0

537 (66.6%)

293 (55.9%)

 

1

222 (27.5%)

192 (36.6%)

 

2

47 (5.8%)

39 (7.4%)