A Novel Nomogram for Predicting the Risk of Short-Term Recurrence After Surgery in Glioma Patients.

ABSTRACT:

Objective

The aim of this study was to establish a nomogram model for predicting the risk of short-term recurrence in glioma patients.

Methods

The clinical data of recurrent glioma patients were summarized and analyzed in this study. Univariate and multivariate logistic regression analyses were performed to analyze the correlation between clinical data and the risk of short-term recurrence after operation. A nomogram was established based on the multivariate logistic regression model results.

Results

A total of 175 patients with recurrent glioma were enrolled, with 53 patients in the short-term recurrence (STR) group (recurrent time ≤6 months) and 122 patients in the long-term recurrence (LTR) group (recurrent time ≥36 months). Univariate analysis revealed that age at

SUBMITTER: Wang T 

PROVIDER: S-EPMC8578709 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature