A multi-parametric prognostic model based on clinical features and serological markers predicts overall survival in non-small cell lung cancer patients with chronic hepatitis B viral infection

Table 2 The C-index of our model, TNM staging and Treatment for prediction of OS in the training cohort and validation cohort

Factors	C-index (95% CI)	P
For training cohort
Our model	0.769 (0.721–0.817)
TNM staging	0.710 (0.661–0.758)
Treatment	0.694 (0.643–0.746)
Our model + TNM staging	0.784 (0.739–0.830)
Our model vs. TNM staging		0.079
Our model vs. treatment		0.017
Our model vs. our model + TNM staging		0.218
For validation cohort
Our model	0.676 (0.556–0.796)
TNM staging	0.654 (0.552–0.755)
Treatment	0.647 (0.517–0.777)
Our model + TNM staging	0.712 (0.614–0.809)
Our model vs. TNM staging		0.761
Our model vs. treatment		0.754
Our model vs. our model + TNM staging		0.205

C-index concordance index, CI confidence interval
P values are calculated based on normal approximation using function rcorrp.cens in Hmisc package

ISSN: 1475-2867