Fig. 2.

Model creation and performance evaluation for prediction of ≥pT3 disease in 4199 treated with radical cystectomy for urothelial carcinoma of the bladder. 1. Model creation through LASSO regression analysis. 2. Logistic regression analysis. 3. Receiver operating characteristic curves and model performance evaluation. 4. Nomogram based on the logistic regression model. 5. Model calibration curves. 6. Decision‐curve analyses. AGR, albumin–globulin ratio; AUC, area under the curve; mGPS, modified Glasgow prognostic score; MLR, monocyte‐lymphocyte ratio; NLR, neutrophil‐lymphocyte ratio; OR, odds ratio; UCB, urothelial carcinoma of the bladder.