Construction of a survival prediction model for high-and low -grade UTUC after tumor resection based on "SEER database": a multicenter study.
BMC Cancer
; 21(1): 999, 2021 Sep 07.
Article
in En
| MEDLINE
| ID: mdl-34493229
ABSTRACT
BACKGROUND:
There are differences in survival between high-and low-grade Upper Tract Urothelial Carcinoma (UTUC). Our study aimed to develop a nomogram to predict overall survival (OS) of patients with high- and low-grade UTUC after tumor resection, and to explore the difference between high- and low-grade patients.METHODS:
Patients confirmed to have UTUC between 2004 and 2015 were selected from the Surveillance, Epidemiology and End Results (SEER) database. The UTUCs were identified and classified as high- and low-grade, and 1-, 3- and 5-year nomograms were established. The nomogram was then validated using the Chinese multicenter dataset (patients diagnosed in Shandong, China between January 2010 and October 2020).RESULTS:
In the high-grade UTUC patients, nine important factors related to survival after tumor resection were identified to construct nomogram. The C index of training dataset was 0.740 (95% confidence interval [CI] 0.727-0.754), showing good calibration. The C index of internal validation dataset was 0.729(95% CI0.707-0.750). On the other hand, Two independent predictors were identified to construct nomogram of low-grade UTUC. The C index was 0.714 (95% CI 0.671-0.758) for the training set,0.731(95% CI0.670-0.791) for the internal validation dataset. Encouragingly, the nomogram was clinically useful and had a good discriminative ability to identify patients at high risk.CONCLUSION:
We constructed a nomogram and a corresponding risk classification system predicting the OS of patients with an initial diagnosis of high-and low-grade UTUC.Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Urinary Bladder Neoplasms
/
Models, Statistical
/
SEER Program
/
Nomograms
Type of study:
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Limits:
Aged
/
Aged80
/
Female
/
Humans
/
Male
Language:
En
Journal:
BMC Cancer
Journal subject:
NEOPLASIAS
Year:
2021
Document type:
Article
Affiliation country:
China