Nomogram to Predict Overall and Cancer-Specific Survival in Patients with Primary Bone Diffuse Large B-Cell Lymphoma: A Population-Based Study

Abstract

Background: Primary bone diffuse large B-cell lymphoma accounts for more than 80% of primary bone lymphoma, and as a rare disease, we created two nomogram to predict overall survival (OS) and cancer-specific survival (CSS) in patients with PD-DLBCL.Methods: 891 patients diagnosed with PB-DLBCL between 2007 and 2016 were extracted from the Surveillance, Epidemiology and End Results (SEER) database. Univariate and multivariate Cox analyses were performed to explore independent prognostic factors and to create two separate nomogram for OS and CSS. The area under the curve (AUC), calibration curve, decision curve analysis (DCA), and Kaplan-Meier curve analysis were used to evaluate the nomogram.Results: 4 variables were identified as independent prognostic factors for OS and 3 variables were identified as independent prognostic factors for CSS. the ROC curves demonstrated good discriminatory power of the nomogram. Calibration curves and DCA curves showed that nomogram had satisfactory ability to predict OS and CSS. k-M curves showed that age, gender, first location, chemotherapy, and tumor stage affected patient survival.Conclusions: Age, race, primary site, and chemotherapy are variables that affect OS. And age, race, and chemotherapy are variables that affect CSS in patients with PD-DLBCL. Two nomogram were created based on the above variables to provide more accurate individual survival prediction for PD-DLBCL patients and to help physicians make appropriate clinical decisions.

Nomogram-Based Prediction of Overall and Cancer-Specific Survival in Patients with Primary Bone Diffuse Large B-Cell Lymphoma: A Population-Based Study

“…A preprint has previously been published [ 1 ]. Primary bone lymphoma (PBL) was called primary reticulocyte sarcoma by Oberlin in 1928 and precisely defined by Shoji et al in 1971 [ 2 ].…”