Department of Orthopedics, Ningbo Yinzhou Second Hospital, Ningbo, 315100 Zhejiang, China.
Department of Paediatrics, Ningbo Medical Center Lihuili Hospital, Ningbo, 315040 Zhejiang, China.
Biomed Res Int. 2020 Aug 19;2020:4235939. doi: 10.1155/2020/4235939. eCollection 2020.
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.
我们旨在开发一个列线图，用于评估原发性骨淋巴瘤（PBL）患者的总生存（OS）和癌症特异性生存（CSS）。从监测、流行病学和最终结果（SEER）数据库中收集了 2007 年至 2016 年间诊断为 PBL 的患者。所有患者被随机分配到训练队列和验证队列（2：1）。通过训练队列开发列线图，并通过验证队列使用一致性指数（C-index）、校准图和决策曲线分析（DCAs）进行验证。训练队列中 CSS 和 OS 预测的 C-index 分别为 0.76 和 0.77；在验证队列中，它们分别为 0.76 和 0.79。校准曲线显示了列线图预测与实际生存之间的良好一致性。DCA 表明新预测模型具有明显的净收益。该列线图具有良好的适用性和准确性，将成为预测 PBL 患者 OS 和 CSS 的可靠工具。
