...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>BMC Gastroenterology >Development and validation of a simple-to-use nomogram to predict liver metastasis in patients with pancreatic neuroendocrine neoplasms: a large cohort study
【24h】

Development and validation of a simple-to-use nomogram to predict liver metastasis in patients with pancreatic neuroendocrine neoplasms: a large cohort study

机译：胰腺神经内分泌肿瘤患者预测肝转移的简单富载NOMACH的开发和验证：大队列研究

获取原文
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Liver metastasis is an important prognostic factor for pancreatic neuroendocrine neoplasms (pNENs), but the relationship between the clinical features of patients with pNEN and liver metastasis remains undetermined. The aim of this study was to establish and validate an easy-to-use nomogram to predict liver-metastasis in patients with pNEN. We obtained the clinicopathologic data of 2960 patients with pancreatic neuroendocrine neoplasms from the Surveillance, Epidemiology and End Results (SEER) database between 2010 and 2016. Univariate and multivariate logistic regression were done to screen out independent influencing factors to establish the nomogram. The calibration plots and the area under the receiver operating characteristic curve (AUC) were used to evaluate the performance of nomogram. Decision curve analysis (DCA) was applied to compare the novel model with the conventional predictive methods. A total of 2960 patients with pancreatic neuroendocrine neoplasms were included in the study. Among these, 1974 patients were assigned to the training group and 986 patients to the validation group. Multivariate logistic regression identified, tumor size, grade, other site metastasis, T stage and N stage as independent risk factors. The calibration plot showed good discriminative ability in the training and validation groups, with C-indexes of 0.850 for the training cohort and 0.846 for the validation cohort. The AUC values were 0.850 (95% CI 0.830–0.869) and 0.839 (95% CI 0.812–0.866), respectively. The nomogram total points (NTP) had the potential to stratify patients into low risk, medium risk and high risk (P??0.001). Finally, comparing the nomogram with traditional prediction methods, the DCA curve showed that the nomogram had better net benefit. Our nomogram has a good ability to predict liver metastasis of pancreatic neuroendocrine neoplasms, and it can guide clinicians to provide suitable?prevention and treatment measures for patients with medium- and high-risk liver metastasis.
机译：肝转移是胰腺神经内分泌肿瘤（PNENS）的重要预后因素，但PNEN和肝转移患者的临床特征与肝脏转移之间的关系仍未确定。本研究的目的是建立和验证易于使用的罗维图，以预测PNEN患者的肝转移。我们从2010年和2016年间，从监测，流行病学和最终结果（SEER）数据库中获得了2960例胰腺神经内分泌肿瘤的临床病理数据。完成了单变量和多变量的物流回归，以筛选独立影响因素来建立墨水图。使用接收器操作特性曲线（AUC）下的校准图和区域用于评估罗维图的性能。应用判定曲线分析（DCA）以将新型模型与传统预测方法进行比较。研究共有2960例胰腺神经内分泌肿瘤患者。其中，1974名患者被分配给培训组和986名患者验证组。多变量逻辑回归鉴定，肿瘤大小，等级，其他地点转移，T阶段和N阶段作为独立危险因素。校准图显示培训和验证组中的良好辨别能力，C指数为0.850的培训队列，验证队列为0.846。 AUC值分别为0.850（95％CI 0.830-0.869）和0.839（95％CI 0.812-0.866）。 NOM图总要点（NTP）有可能将患者分析为低风险，中等风险和高风险（P？＆ 0.001）。最后，通过传统预测方法比较NOM图，DCA曲线表明，NOM图具有更好的净利润。我们的纳米图具有预测胰腺神经内分泌肿瘤的肝转移的良好能力，它可以指导临床医生提供适当的肝脏转移患者的预防和治疗措施。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号