A novel nomogram for predicting liver metastasis in patients with gastrointestinal stromal tumor: a SEER-based study.

ABSTRACT:

Background

Liver metastasis (LIM) of gastrointestinal stromal tumor (GIST) is associated with poor prognosis. The present study aimed at developing and validating nomogram to predict LIM in patients with GIST, thus helping clinical diagnosis and treatment.

Methods

The data of GIST patients derived from Surveillance, Epidemiology, and End Results (SEER) database from 2010 to 2016, which were then screened by univariate and multivariate logistic regression for the construction of LIM nomogram. The model discrimination of LIM nomogram was evaluated by concordance index (C-index) and calibration plots, while the predictive accuracy and clinical values were measured by decision curve analysis (DCA) and clinical impact plot. Furthermore, we validated predictive nomogram in the int

SUBMITTER: Zhou G 

PROVIDER: S-EPMC7689971 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature