Abstract
Background: Significant difference existed in survival outcomes of primary central nervous system lymphoma (PCNSL) patients. The aim of this study was to establish a prognostic nomogram to access personalized survival rate of PCNSL patients.
Methods: 2947 patients were extracted from the Surveillance, Epidemiology, and End Results database as the training cohort. 177 patients diagnosed from 2006-2020 in Sun Yat-Sen University cancer center were identified as the external validation cohort. Cox proportional hazards model was performed to identify independent factors for establishing the nomogram. Concordance index (C-index) and calibration curves were used to test the accuracy of the model.
Results: Age, tumor site, lymphoma subtype, surgery and chemotherapy were significant predictors included in the nomogram. C-index in the training and validation cohort were 0.701 and 0.653, respectively. Calibration curves showed favorable consistency of nomogram-predicted and actual probability of overall survival (OS). The decision curve analysis (DCA) curves exhibited great clinical application. We published a web calculator for convenient clinical practice and established a risk classification system that significantly distinguished patients into four groups. Results of the primary cohort were well confirmed in the validation cohort.
Conclusion: We developed a nomogram and a web calculator of OS prediction for PCNSL, which may assist in medical consultation, treatment decision making and clinical study design.
No relevant conflicts of interest to declare.
This feature is available to Subscribers Only
Sign In or Create an Account Close Modal