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. 2011 Dec 7;103(24):1851–1858. doi: 10.1093/jnci/djr485

Table 4.

C-index from four Cox models to compare the predictive accuracy for overall survival using patient- and/or clinician-reported symptoms and P values for comparisons between models for pain, fatigue, vomiting, nausea, diarrhea, and constipation*

Clinical symptom C-index
Pmodel 2 vs model 3 Pmodel 3 vs model 4
Model 1 Model 2 Model 3§ Model 4
Pain .60 .62 .62 .63 .59 .44
Fatigue .60 .66 .63 .67 <.001 <.001
Vomiting .62 .64 .62 .64 .01 .01
Nausea .62 .65 .62 .65 <.001 <.001
Diarrhea .62 .62 .62 .62 .08 .52
Constipation .60 .62 .61 .62 .03 .01
*

Four different Cox models were analyzed for each symptom, as described below. The C-index calculates the predictive accuracy from the Cox model to predict overall survival. (The C-index estimates the percentage in which the correct predictions derived from the Cox model and the observed survival order are in agreement, with C = 0.5 for a random model with no variables and C = 1 with a perfect order concordance.)

Model 1 includes the sociodemographic and clinical variables alone.

Model 2 includes the sociodemographic and clinical variables and patient symptom rating.

§

Model 3 includes the sociodemographic and clinical variables and clinician symptom rating.

Model 4 includes the sociodemographic and clinical variables and both patient and clinician symptom ratings.

P values are from two-sided tests. Each P value tests the hypothesis that the predictions from one Cox model, indicated by the C-index is more concordant with the observed outcome than predictions from the other Cox model, indicated by the C-index, within paired predictions. In this analysis, we compared model 2 vs model 3 and model 3 vs model 4.