Nomogram predicts the overall survival of patients with Glioma

Abstract Aim Our study aimed to establish a nomogram to predict the cancer-specific surviva (CSS) of patients with Glioma. Patients and methods Patients diagnosed with glioma between 2004 and 2016 were collected from the SEER database. On the basis of the logistic regression model, the nomogram was established, the C-index was used to evaluate the accuracy of the nomogram, and the Decision Curve Analysis was used to evaluate the clinical use of the nomogram. Results 2626 eligible patients were randomly divided into training group (n=1864) and verification group (n=762). Nomogram had better discrimination ability, the C index of the training cohort was 0.74, and the C index of the verification cohort was 0.736. This new predictive model has shown better discriminative ability and greater benefits in both training and validation cohorts to predict CSS in patients with Glioma.Conclusion A nomogram was constructed to predict the CSS of Glioma patients at 1, 3, and 5 years. The verification showed that the nomogram had better discrimination and calibration ability, indicating that the nomogram can be used to predict the CSS of Glioma patients and guide the treatment of Glioma patients.