Univariate and multivariate COX regression results for low-grade astrocytoma
tumor, tumors, astrocytoma
REGRESSION, TUMOR, TUMORS, ASTROCYTOMA
Patient data from the low-grade astrocytoma training set (13 variables) were included in univariate Cox regression analysis, and the univariate Cox regression excluded the gender variable (P > 0.1). To avoid omitting important variables, 12 variables with P < 0.1 in the univariate Cox regression were included in the multivariate Cox regression. If P < 0.1 in the univariate Cox regression analysis, the factor was associated with prognostic survival of the patients; if P < 0.05 in the multivariate Cox regression analysis, the factor was an independent factor affecting the survival of the patients. The univariate Cox regression results of this study showed that age greater than 40 years, white ethnicity, histological type of tumor, primary site, lateral bilateral tumor, grade II, larger tumor size, deeper entry into the brain, surgery, radiotherapy, chemotherapy, and the number of tumors were factors related to the prognosis and survival of patients; multivariate Cox regression results showed that older age, bilateral tumors, and radiotherapy and chemotherapy were independent factors affecting patient survival (Table Univariate and multivariate Cox regression analysis of low-grade astrocytoma training set patient survival.