Skip to main content

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)