Fig. 1.

Model creation and performance evaluation for the prediction of lymph node involvement in 4199 patients treated with radical cystectomy for urothelial carcinoma of the bladder. 1. Model creation through least absolute shrinkage and selection operator 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.