The nomogram shows the probability of clinical events through simple graphs of statistical prediction models to form a personalized prediction model. Age, gender, tumour grade, IDH mutation status, 1p19q codeletion status, MGMT promoter methylation status and ER stress‐related risk scores were combined to develop a nomogram using the R packages survival and rms. Calibration curves and decision curve analysis (DCA) were adopted to evaluate the accuracy of the nomogram in predicting one‐, three‐ and five‐year survival rates of glioma patients. 31 , 32 For the calibration curve, the higher was the degree of agreement between the predicted curve and the actual curve, the stronger was the predictive ability of the nomogram. For DCA, the decision curve of the nomogram was compared with that of other independent prognostic factors.

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