Yonghao Ouyang, Yongyang Wei, Siqing Yi, Chengchao Fu, Lihua Chu, Xin Liu, Shuju Tu
Nanchang University, 461 Bayi Avenue, Nanchang, 330006 Jiangxi China.
Jinggangshan University, Ji'an, 3343000 China.
Indian J Hematol Blood Transfus. 2024 Apr;40(2):220-230. doi: 10.1007/s12288-023-01706-6. Epub 2024 Jan 3.
Despite being the most common primary tumor of the spleen, in the past, few studies have predicted the prognosis of primary spleen diffuse large B cell lymphoma. This study aimed to establish a nomogram prediction model of overall survival in primary DLBCL of the spleen. We screened out 347 patients with primary splenic DLBCL from surveillance, epidemiology, and end results database. According to the Cox regression results (age, Ann Arbor Stage, splenectomy and chemotherapy was the independent risk factor for primary splenic DLBCL), the nomogram was constructed. We evaluated the predictive ability of nomogram with C-Index (training cohort: 0.719 [0.669-0.769]; validation cohort: 0.711 [0.641-0.781]) and 3-year/5-year receiver operating characteristic area under curve (3-year/5-year ROCAUC, training cohort: 0.731/0.742; validation cohort: 0.721/0.742). Calibratioin plot shows that our predicted values fluctuate around the actual value, indicating good agreement with nomogram. The decision curve analysis (DCA) results showed that our nomogram could benefit more than Ann Arbor Stage for predicts the prognosis of the primary splenic DLBCL. The Kaplan-Meier and landmark analysis showed that a great discrimination between high-risk group and low-risk group ( < 0.05) and indicating that our nomogram has the good ability to identify high-risk patients. In this study, a nomogram prediction model for primary spleen DLBCL was established, which has good ability of prediction and generalization. It can help clinicians carry out individualized treatment measures.
尽管原发性脾脏肿瘤是脾脏最常见的肿瘤,但过去很少有研究对原发性脾脏弥漫性大B细胞淋巴瘤的预后进行预测。本研究旨在建立原发性脾脏弥漫性大B细胞淋巴瘤总生存的列线图预测模型。我们从监测、流行病学和最终结果数据库中筛选出347例原发性脾脏弥漫性大B细胞淋巴瘤患者。根据Cox回归结果(年龄、Ann Arbor分期、脾切除术和化疗是原发性脾脏弥漫性大B细胞淋巴瘤的独立危险因素)构建列线图。我们用C指数评估列线图的预测能力(训练队列:0.719[0.669 - 0.769];验证队列:0.711[0.641 - 0.781])以及3年/5年曲线下接受者操作特征面积(3年/5年ROCAUC,训练队列:0.731/0.742;验证队列:0.721/0.742)。校准图显示我们的预测值在实际值周围波动,表明与列线图具有良好的一致性。决策曲线分析(DCA)结果表明,我们的列线图在预测原发性脾脏弥漫性大B细胞淋巴瘤的预后方面比Ann Arbor分期更具优势。Kaplan - Meier分析和标志性分析表明,高风险组和低风险组之间有很大的区分度(<0.05),这表明我们的列线图具有良好的识别高风险患者的能力。在本研究中,建立了原发性脾脏弥漫性大B细胞淋巴瘤的列线图预测模型,该模型具有良好的预测和泛化能力。它可以帮助临床医生实施个体化治疗措施。