Risk prediction and treatment assessment in glioma patients using SEER database: a prospective observational study.

ABSTRACT:

Objectives

To use a nomogram to predict the risk of mortality and estimate the impact of current treatment on the prognosis of glioma patients.

Methods

A total of 3798 cases were obtained from the Surveillance Epidemiology and End Results database according to the selection criteria. A nomogram was built on the independent clinical factors screened by the variance inflation factor, univariate analyses and a multivariate Cox regression model. Then, categorising the overall population into high-risk, medium-risk and low-risk groups using nomogram-derived risk scores, to study the impact of treatment on different subgroups' survival outcomes. Furthermore, based on the postmatch cohorts, the influences of treatment on survival outcomes were assessed by the log-rank test.

Resu

SUBMITTER: Li X 

PROVIDER: S-EPMC10729083 | biostudies-literature | 2023 Dec

REPOSITORIES: biostudies-literature