Nomograms based on SIRI for predicting postoperative survival outcomes in patients with non-metastatic clear cell renal cell carcinoma.

ABSTRACT:

Objective

This study aimed to investigate the prognostic significance of the preoperative Systemic Inflammation Response Index (SIRI) and to develop predictive models for overall survival (OS), cancer specific survival (CSS), and metastasis free survival (MFS) in patients with non-metastatic clear cell renal cell carcinoma (ccRCC) after nephrectomy.

Methods

We conducted a retrospective analysis of clinicopathological and prognostic data from 231 non-metastatic ccRCC patients. The optimal cutoff value for SIRI was determined using receiver operating characteristic (ROC) curve analysis. Prognostic factors were identified through least absolute shrinkage and selection operator (LASSO) regression and multivariable Cox proportional hazards models. Nomograms for predicting OS, CSS

SUBMITTER: Zhang B 

PROVIDER: S-EPMC12729437 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature