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Fig. 3 | BMC Cancer

Fig. 3

From: A novel cuproptosis-related gene signature to predict prognosis in Glioma

Fig. 3

Nomogram development and validation for Glioma. A Multivariate Cox regression considering clinical information and prognostic CRGs in glioma (OS). B Nomogram to predict the 1-year, 3-year and 5-year OS rate of glioma patients. C Calibration curve for the OS nomogram model in glioma. dashed diagonal line represents the ideal nomogram, and the blue line, red line and orange line represent the 1-year, 3-year and 5-year of the observed nomogram. D Decision curve analysis. The x-axis was determined by the threshold probability, at which the harm of false-positive intervention exceeded the harm of a false-negative non-intervention, and thus an intervention was triggered. The y-axis was a net benefit, which was the relative benefit derived from the proportion of true-positive results subtracted from the proportion of false-positive results weighted by a ratio of threshold probabilities. Under the same probability, the clinical usefulness was better when the net benefit was higher

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