A Nomogram Predicting Overall and Cancer-Specific Survival of Patients with Primary Bone Lymphoma: A Large Population-Based Study.

He-Hui Wang,A-Bing Li,Ke-Na Dai

doi:10.1155/2020/4235939

Abstract

We aimed to develop a nomogram for evaluating the overall survival (OS) and cancer-specific survival (CSS) in patients with primary bone lymphoma (PBL). Patients diagnosed with PBL between 2007 and 2016 were collected from the Surveillance, Epidemiology, and End Results (SEER) database. All patients were randomly allocated to the training cohort and validation cohort (2 : 1). The nomogram was developed by the training cohort and validated by the validation cohort using the concordance index (C-index), calibration plots, and decision curve analyses (DCAs). The C-index for CSS and OS prediction in the training cohort were 0.76 and 0.77, respectively; in the validation cohort, they were 0.76 and 0.79, respectively. The calibration curve showed good consistency between nomogram prediction and actual survival. The DCA indicated obvious net benefits of the new predictive model. The nomogram showed favorable applicability and accuracy, and it will be a reliable tool for predicting OS and CSS in patients with PBL.

Highlights

In 1928, Oberling first described an uncommon disease as primary lymphoma of bone
According to the inclusion and exclusion criteria, a total of 793 eligible primary bone lymphoma (PBL) patients were identified from the SEER database
529 eligible patients were allocated to the validation cohort and 264 eligible patients were allocated to the training cohort

Summary

Introduction

In 1928, Oberling first described an uncommon disease as primary lymphoma of bone. Subsequently, Parker and Jackson reported that this tumor was a malignant lymphoid infiltrating in bone [1, 2]. Previous studies suggested several clinical characteristics and prognostic factors for the prognosis in patients with PBL, including age, gender, race, tumor site, tumor stage, and use of radiotherapy and chemotherapy [5, 7,8,9,10,11]. These variables only served as single indexes and cannot precisely predict the survival in patients with PBL.

Objectives

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Conclusion