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Table 2 Univariate and multivariate analyses of clinicopathological characteristics and PPS with overall survival in training and validation cohort

From: Machine learning and bioinformatics analysis revealed classification and potential treatment strategy in stage 3–4 NSCLC patients

 

Univariate analysis

Multivariate analysis

HR

95% CI

P value

HR

95% CI

P value

Training (n = 117)

      

Age

1.003

0.976–1.032

0.812

1.029

0.998–1.060

0.067

pathologic_N

0.936

0.683–1.282

0.680

1.292

0.909–1.836

0.153

pathologic_T

1.269

0.967–1.664

0.086

1.228

0.893–1.690

0.207

Gender

1.600

0.945–2.709

0.080

0.983

0.550–1.757

0.954

PPS*

2.714

2.108–3.495

 < 0.001

2.902

2.202–3.825

 < 0.001

Test (n = 78)

      

Age

0.998

0.965–1.032

0.886

1.008

0.972–1.044

0.679

pathologic_N

1.207

0.822–1.771

0.337

1.346

0.823–2.199

0.236

pathologic_T

1.042

0.761–1.427

0.797

1.224

0.848–1.766

0.280

Gender

0.692

0.370–1.296

0.250

0.583

0.306–1.113

0.102

PPS*

1.694

1.272–2.256

 < 0.001

1.718

1.289–2.288

 < 0.001

  1. The significant P value was indicated in bold
  2. * Statistically significant results (P<0.05)
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BMC Medical Genomics

ISSN: 1755-8794

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