Table 3. Prognostication comparison of built-up nomogram and original Leibovich model.
C-index (95%CI) | AIC | ||||||
---|---|---|---|---|---|---|---|
Patients group | No. of patients (%) | Nomogram | Leibovich | Coefficient (95%CI) | P | Nomogram | Leibovich |
Overall | 472 (100%) | 0.854 (0.811 to 0.896) | 0.836 (0.790 to 0.882) | 0.037 (0.013 to 0.061) | 0.010 | 706.0 | 738.2 |
TNM stage I+II | 345 (73.1%) | 0.819 (0.750 to 0.888) | 0.768 (0.696 to 0.839) | 0.051 (0.001 to 0.101) | 0.044 | 404.8 | 410.0 |
UISS low or intermediate risk | 438 (92.8%) | 0.847 (0.790 to 0.903) | 0.797 (0.738 to 0.856) | 0.048 (0.015 to 0.082) | 0.005 | 559.7 | 593.9 |
SSIGN low or intermediate risk | 458 (97.0%) | 0.848 (0.796 to 0.900) | 0.801 (0.746 to 0.856) | 0.049 (0.018 to 0.079) | 0.002 | 608.5 | 645.0 |
Abbreviation: C-index, concordance index; AIC, Akaike's information criterion; UISS, UCLA Integrated Staging System; SSIGN, Mayo clinic stage, size, grade, and necrosis; 95% CI, 95% confidence interval.
C-index, 95%CI and AIC are calculated from 1000 bootstrap samples to protect from overfitting.