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Dataset Information

Developing and validating nomograms for predicting the survival in patients with clinical local-advanced gastric cancer.


ABSTRACT:

Background

Many patients with gastric cancer are at a locally advanced stage during initial diagnosis. TNM staging is inaccurate in predicting survival. This study aims to develop two more accurate survival prediction models for patients with locally advanced gastric cancer (LAGC) and guide clinical decision-making.

Methods

We recruited 2794 patients diagnosed with LAGC (2010-2015) from the Surveillance, Epidemiology, and End Results (SEER) database and performed external validation using data from 115 patients with LAGC at Yantai Affiliated Hospital of Binzhou Medical University. Univariate and multifactorial survival analyses were screened for meaningful independent prognostic factors and were used to build survival prediction models. Concordance index (C-index), receiver

SUBMITTER: Hou C 

PROVIDER: S-EPMC9644132 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature