“…Nomograms are often used in various cancer types to intuitively predict prognosis (Xu et al, 2021a;He et al, 2022). Previous literature has reported that age, chemotherapy status, histopathology, radiotherapy status, IDH, tumor recurrence, and 1p/19q were common prognostic markers in gliomas (Qu et al, 2021;Huang et al, 2022). Our study constructed a nomogram for predicting the OS of glioma patients according to the CGGA dataset based on ten independent prognostic factors, including 1p/19q codeletion status, PRS type, Radio status, Histology, Chemo status, Gender, Age, IDH mutation status, Grade, and URB2.…”