LGALS8 and central nervous system cancer: The forest plot based on binary and multinomial logistic regression analyses showed that GAL-8 influences diagnostic efficacy in glioma (OR: 1.890, 95% CI: 1.111–3.215, p < 0.05), glioma grade and malignant progression (OR: 1.911, 95% CI: 1.175–3.110, p < 0.01), histological glioma type (OR: 2.167, 95% CI: 1.126–4.172, p < 0.05), and glioma localization (OR: 1.627, 95% CI: 0.992–2.669, p < 0.05) in the final regression model (Fig. 5).