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.