Back to Search Start Over

A Prognostic Nomogram Based on Log Odds of Positive Lymph Nodes to Predict Overall Survival for Non-Metastatic Bladder Cancer Patients after Radical Cystectomy

Authors :
Jingtian Yang
Huasheng Huang
Wenshuang Li
Shengming Ran
Jintao Hu
Yishan Zhang
Wenjie Li
Changhao Chen
Wang He
Source :
Current Oncology, Vol 29, Iss 10, Pp 6834-6846 (2022)
Publication Year :
2022
Publisher :
MDPI AG, 2022.

Abstract

(1) Purpose: The purpose of this study was to evaluate the prognostic capacity of the pathological N status (pN), lymph node ratio (LNR), and the log odds of positive lymph nodes (LODDS), and to build a prognostic nomogram to predict overall survival (OS) for bladder cancer patients treated by radical cystectomy. (2) Methods: The clinical and pathological characteristics of 10,938 patients with bladder cancer were identified from the Surveillance, Epidemiology, and End Results (SEER) database from 2004 to 2017. The predictive capacity was assessed by univariate and multivariate Cox regression analyses, the area under the receiver operating characteristic curve (AUC), and C-index. Calibration curves, decision curve analysis (DCA), and risk-grouping were utilized to evaluate the predictive accuracy and discriminative ability of the nomogram. (3) Results: LODDS was an independent risk factor for bladder cancer (all p < 0.001) and demonstrated the highest values of C-index and AUC. The values of AUCs in the training cohort were 0.747, 0.743, and 0.735 for predicting 1-, 3-, and 5-year OS, respectively. Calibration curves and DCA curves suggested the excellent clinical application value of our nomogram. (4) Conclusions: LODDS is a better predictive indicator for bladder cancer patients compared to pN and LNR. The LODDS-incorporated nomogram has excellent accuracy and promising clinical application value for non-metastatic bladder cancer after radical cystectomy.

Details

Language :
English
ISSN :
17187729 and 11980052
Volume :
29
Issue :
10
Database :
Directory of Open Access Journals
Journal :
Current Oncology
Publication Type :
Academic Journal
Accession number :
edsdoj.14e9d28f18764e5f8d1f41aaddacd8fa
Document Type :
article
Full Text :
https://doi.org/10.3390/curroncol29100539