Figure 1.
Predicted probability of cancer-specific survival, non-kidney cancer specific survival, and overall survival.
Table 1.
Demographic and clinical data.
Table 2.
Univariate Cox proportional hazard regression model of different age cutoffs in patients with local RCC treated with radical nephrectomy.
Figure 2.
(A) Scatterplot of age vs martingale residual of Cox proportional hazard model. The smoothed curves crossed the null line at 46 years. (B) Age distribution of 1,147 patients with localized RCC.
Table 3.
Univariable and multivariate analysis with Cox regression model for risk factors predictive of CSS.
Figure 3.
Distribution of health status, comprising survival probability and probability of death by RCC-cause death, and other-cause death.
Figure 4.
Predicted probability of (A) cancer-specific survival, (B) non-kidney cancer specific, and (C) overall survival by age shown using cumulative incidence function.
Table 4.
Univariable and multivariable competing risks regression models for prediction of cancer-specific survival after accounting for other-cause mortality.