Related Experiment Video
Updated: May 20, 2026

Competing-Risk Nomogram for Predicting Cancer-Specific Survival in Multiple Primary Colorectal Cancer Patients after Surgery
Published on: September 27, 2024
A dynamic nomogram and risk classification for predicting prognosis in renal cell carcinoma with venous tumor
ZeZhen Zhou1, Liyuan Ge1, Fan Zhang1
1Department of Urology, Peking University Third Hospital, Beijing, China.
Background:
To establish an effective dynamic nomogram and a novel risk classification system to predict overall survival (OS) for Renal Cell Carcinoma with venous tumor thrombus (RCC-VTT).
Methods:
318 patients were enrolled and randomly divided into a training set and a validation set in a 7:3 ratio. LASSO regression analysis and multivariate Cox regression analysis were employed to identify significant prognostic factors. Based on these factors, a nomogram model was developed and evaluated using the concordance index (C-index), receiver operating characteristic (ROC) curves, calibration curves, and decision curve analyses (DCA). Survival differences were assessed using Kaplan-Meier curves and the log-rank test.
Results:
Eight survival predictors were identified: Mayo Clinic Stage, Histology, N Stage, M Stage, Renal Sinus Invasion, Sarcomatoid Feature, Hemoglobin, and Estimated Glomerular Filtration Rate. The C-indexes for the training and validation sets were 0.77 (95% CI: 0.72-0.82) and 0.75 (95% CI: 0.68-0.82), respectively. The AUCs for the training and validation sets were 0.869 (95% CI: 0.805-0.933) and 0.854 (95% CI: 0.770-0.937) for the 5-yr predictions, respectively. DCA further confirmed the clinical utility of the model. Additionally, the nomogram-based classification system stratified patients into distinct risk subgroups for OS (P < 0.0001).
Conclusions:
We developed a dynamic nomogram and novel risk classification system for RCC-VTT. This tool has the potential to personalize treatment strategies.
Related Concept Videos
Venous Thrombosis II: Clinical Manifestations and Diagnostic Studies
Drug Dosing in Renal Diseases: Estimation of Glomerular Filtration Rate Based on Serum Creatinine Concentration
Determination of Renal Drug Clearance: Graphical and Midpoint Methods
The graphical method involves plotting the rate of drug excretion in urine against the plasma drug concentration. By analyzing the graph, the clearance can be calculated and obtained. Drugs rapidly excreted by the kidneys exhibit a...
Venous Thrombosis III: Interprofessional Care
Venous Thrombosis IV: Nursing Management
Acute Kidney Injury IV: Diagnostic Studies and Prevention
