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Dataset Information

Establishment of a nomogram to predict the overall survival of patients with collecting duct renal cell carcinoma.


ABSTRACT:

Background

Collecting duct carcinoma (CDC) is a rare histological type of renal cell carcinoma that lacks a prognostic prediction model. In this study, we developed a nomogram to predict the prognosis of CDC patients.

Methods

Data for patients (n = 247) diagnosed with CDC from 2004 to 2015 were obtained from the Surveillance, Epidemiology, and End Results (SEER) database, and the patients were randomized into training (n = 165) and validation (n = 82) cohorts. Survival outcomes were evaluated by the Kaplan-Meier method. Significant variables determined by univariate and multivariate Cox regression analyses were used to construct the nomogram. C-indexes and calibration plots were applied to evaluate the performance of the nomogram.

Results

CDC patients had a median ove

SUBMITTER: Jiang W 

PROVIDER: S-EPMC11222356 | biostudies-literature | 2024 Jul

REPOSITORIES: biostudies-literature