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首页> 外文期刊>Endocrine Connections >The impact of surgery in metastatic pancreatic neuroendocrine tumors: a competing risk analysis
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The impact of surgery in metastatic pancreatic neuroendocrine tumors: a competing risk analysis

机译:手术对转移性胰腺神经内分泌肿瘤的影响:竞争风险分析

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Aim The role of surgery in the treatment of metastatic pancreatic neuroendocrine tumors (PNETs) was controversial. The objectives of this study were to illustrate the impact of surgery in improving the prognosis of patients with metastatic PNETs and build nomograms to predict overall survival (OS) and cancer-specific survival (CSS) based on a large population-based cohort. Methods Patients diagnosed with metastatic PNETs between 2004 and 2015 from the Surveillance, Epidemiology, and End Results (SEER) database were retrospectively collected. Nomograms for estimating OS and CSS were established based on Cox regression model and Fine and Grey’s model. The precision of the nomograms was evaluated and compared using concordance index (C-index) and the area under receiver operating characteristic (ROC) curve (AUC). Results The study cohort included 1966 patients with metastatic PNETs. It was shown that the surgery provided survival benefit for all groups of patients with metastatic PNETs. In the whole study cohort, 1-, 2- and 3-year OS and CSS were 51.5, 37.1 and 29.4% and 53.0, 38.9 and 31.1%, respectively. The established nomograms were well calibrated, and had good discriminative ability, with C-indexes of 0.773 for OS prediction and 0.774 for CSS prediction. Conclusions Patients with metastatic PNETs could benefit from surgery when the surgery tolerance was acceptable. The established nomograms could stratify patients who were categorized as tumor-node-metastasis (TNM) IV stage into groups with diverse prognoses, showing better discrimination and calibration of the established nomograms, compared with 8th TNM stage system in predicting OS and CSS for patients with metastatic PNETs.
机译:目的手术在转移性胰腺神经内分泌肿瘤(PNETs)治疗中的作用是有争议的。这项研究的目的是说明外科手术对改善转移性PNET患者的预后的影响,并建立诺模图以预测基于大量人群的总体生存期(OS)和癌症特异性生存期(CSS)。方法回顾性收集2004年至2015年间从监测,流行病学和最终结果(SEER)数据库诊断为转移性PNET的患者。基于Cox回归模型和Fine和Grey模型,建立了用于估计OS和CSS的线型图。使用一致性指数(C-index)和接收器工作特性(ROC)曲线下面积(AUC)评估并比较了诺模图的精度。结果该研究队列包括1966名转移性PNET患者。结果表明,该手术为所有转移性PNET患者提供了生存获益。在整个研究队列中,1年,2年和3年OS和CSS分别为51.5、37.1和29.4%和53.0、38.9和31.1%。建立的列线图校准良好,具有良好的判别能力,C指数对于OS预测为0.773,对于CSS预测为0.774。结论手术耐受性可接受时,转移性PNETs患者可以从手术中受益。建立的列线图可以将被分类为肿瘤节点转移(TNM)IV期的患者分为不同预后的组,与第8个TNM分期系统相比,在预测OS和CSS的患者中,建立的列线图显示出更好的区分度和校准度转移性PNET。

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