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Table 2 Comparison of predictive performance of different classification in training cohort

From: Dynamic nomograms combining N classification with ratio-based nodal classifications to predict long-term survival for patients with lung adenocarcinoma after surgery: a SEER population-based study

Model

IDI (95%CI)

P

NRI (95%CI)

P

Cancer-specific survival

 Model 1 (NPLN)

−0.006 (−0.010 to −0.002)

< 0.001

−0.000 (−0.054 to 0.029)

0.884

 Model 2 (LODDS)

−0.006 (−0.009 to −0.003)

< 0.001

−0.119 (−0.160 to 0.016)

0.093

 Model 3 (LNR)

−0.002 (−0.004 to −0.000)

< 0.001

−0.094 (−0.125 to −0.068)

< 0.001

 Model 4 (LODDS+LNR)

Reference

 

Reference

 

Overall survival

 Model 1 (NPLN)

−0.008 (−0.013 to −0.005)

< 0.001

−0.111 (−0.132 to −0.050)

< 0.001

 Model 2 (LODDS)

−0.006 (−0.010 to −0.004)

< 0.001

−0.067 (−0.131 to 0.039)

0.266

 Model 3 (LNR)

−0.001 (−0.003 to −0.000)

< 0.001

−0.088 (−0.136 to −0.066)

< 0.001

 Model 4 (LODDS+LNR)

Reference

 

Reference

 
  1. IDI integrated discrimination improvement; NRI, net reclassification improvement; NPLN number of positive lymph nodes; LODDS log odds of positive lymph nodes; LNR lymph node ratio