Comprehensive survival nomograms for locally advanced gastric cancer: a large population-based real-world study.

ABSTRACT:

Background

This study aimed to construct and verify nomograms predicting overall survival (OS) and cancer-specific survival (CSS) for locally advanced gastric cancer (LAGC) based on a therapeutic selection, demographic factors, and pathological features.

Methods

The data used for the analysis were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Nomograms were constructed based on the Cox regression model.

Results

The entire cohort comprised 21,757 patients with histologically confirmed LAGC, and was randomly distributed into training and verification groups at a ratio of 2:1 for building the prognostic predictive model. According to the multivariate analysis, 13 variables [i.e., age, marital status, race, tumor location, pathological gr

SUBMITTER: Maimaiti A 

PROVIDER: S-EPMC10731340 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature