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Table 3 Univariate and multivariate analysis of clinicopathological features in the development cohort

From: Risk profiles and a concise prediction model for lymph node metastasis in patients with lung adenocarcinoma

  

the development cohort

univariate

analysis

multivariate

analysis

  

pN0(n1 = 1568)

pN1/2(n2 = 350)

p value

p value

Age,mean(range)

 

58.15(25–88)

58.14(25–93)

0.938

 

Sex

Female

842(53.7%)

175(50%)

0.232

 
 

Male

726(46.3%)

175(50%)

  

Smoke

No

1118(71.3%)

243(69.43%)

0.527

 
 

Yes

450(28.7%)

107(30.57%)

  

Alcohol

No

1335(85.14%)

288(82.29%)

0.2090

 
 

Yes

233(14.86%)

62(17.71%)

  

Family cancer history

No

1216(77.55%)

280(80%)

0.353

 
 

Yes

352(22.45%)

70(20%)

  

Cancer history

No

1500(95.66%)

333(95.14%)

0.776

 
 

Yes

68(4.34%)

17(4.86%)

  

Tumor size

 

1.98(0.4-5)

2.72(0.5-5)

< 0.001*

< 0.001*

NTI

No

1545(98.53%)

327(93.43%)

< 0.001*

0.011*

 

Yes

23(1.47%)

23(6.57%)

  

PI

No

1136(72.45%)

192(54.86%)

< 0.001*

0.019*

 

Yes

432(27.55%)

158(45.14%)

  

LVI

No

1475(94.07%)

200(57.14%)

< 0.001*

< 0.001*

 

Yes

93(5.93%)

150(42.86%)

  

RUL

No

1013(64.6%)

257(73.43%)

0.002*

0.001*

 

Yes

555(35.4%)

93(26.57%)

  

RML

No

1465(93.43%)

318(90.86%)

0.113

 
 

Yes

103(6.57%)

32(9.14%)

  

RLL

No

1278(81.51%)

280(80%)

0.564

 
 

Yes

290(18.49%)

70(20%)

  

LUL

No

1181(75.32%)

250(71.43%)

0.149

 
 

Yes

387(24.68%)

100(28.57%)

  

LLL

No

1335(85.14%)

295(84.29%)

0.748

 
 

Yes

233(14.86%)

55(15.71%)

  

MD

No

388(24.74%)

205(58.57%)

< 0.001*

0.371

 

Yes

1180(75.26%)

145(41.43%)

  

LD

No

1278(81.51%)

146(41.71%)

< 0.001*

0.087

 

Yes

290(18.49%)

204(58.29%)

  

HD

No

1470(93.75%)

349(99.71%)

< 0.001*

NA

 

Yes

98(6.25%)

1(0.29%)

  

Acinus component

No

283(18.05%)

94(26.86%)

< 0.001*

0.400

 

Yes

1285(81.95%)

256(73.14%)

  

MP component

No

1360(86.73%)

231(66%)

< 0.001*

0.024*

 

Yes

208(13.27%)

119(34%)

  

Papillary component

No

1103(70.34%)

216(61.71%)

0.002*

0.261

 

Yes

465(29.66%)

134(38.29%)

  

Solid component

No

1430(91.2%)

234(66.86%)

< 0.001*

0.460

 

Yes

138(8.8%)

116(33.14%)

  

Lepidic component

No

1205(76.85%)

338(96.57%)

< 0.001*

< 0.001*

 

Yes

363(23.15%)

12(3.43%)

  

Mucous component

No

1515(96.62%)

325(92.86%)

0.002*

0.181

 

Yes

53(3.38%)

25(7.14%)

  

Papillary predominant

No

1326(84.57%)

292(83.43%)

0.654

 
 

Yes

242(15.43%)

58(16.57%)

  

Solid predominant

No

1504(95.92%)

288(82.29%)

< 0.001*

0.246

 

Yes

64(4.08%)

62(17.71%)

  

Lepidic predominant

No

1399(89.22%)

348(99.43%)

< 0.001*

0.688

 

Yes

169(10.78%)

2(0.57%)

  

MP predominant

No

1556(99.23%)

322(92%)

< 0.001*

0.001*

 

Yes

12(0.77%)

28(8%)

  

Mucous predominant

No

1561(99.55%)

345(98.57%)

0.083

 
 

Yes

7(0.45%)

5(1.43%)

  

Acinus predominant

No

494(31.51%)

155(44.29%)

< 0.001*

0.271

  1. NA as a coefficient in a regression indicates that the variable in question is linearly related to the other variables