A Competing Risk-Based Online Calculator for Cancer-Specific Survival Prediction of Patients With Spinal and Pelvic Diffuse Large B-cell Lymphoma

Study Design Retrospective Cohort Study. Objectives In this study, we aimed to evaluate the risk factors associated with cancer-specific survival (CSS) of patients with spinal and pelvic diffuse large B-cell lymphoma (SP-DLBCL) and construct a competing risk-based model for predicting 3- and 5-year CSS. Methods Data on patients diagnosed between 2010 and 2019 were obtained from the Surveillance, Epidemiology, and End Results (SEER) database. The total dataset was randomly divided into the training and testing datasets at a ratio of 7:3. Factors associated with CSS were identified by competing risk regression for the construction of a nomogram on the training dataset. Further, the testing dataset was used to validate the performance of the nomogram. Results Competing risk regression revealed that age, Ann Arbor Stage, and chemotherapy were independent prognostic factors for CSS. The nomogram exhibited satisfactory agreement on calibration plots for the training and testing datasets. The nomogram performed well on the training and testing datasets, exhibiting a good clinical net benefit. Thus, a nomogram-based web calculator was constructed for clinical application. Conclusion In this study, we evaluated the risk factors of CSS in patients with SP-DLBCL using competing risk regression analysis. The established nomogram and web-based tool performed well and could be used widely in clinical practice.