Table 4.
Clinical symptom | C-index |
P¶model 2 vs model 3 | P¶model 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.