Suppr超能文献

胰腺神经内分泌肿瘤患者的异时性第二原发性恶性肿瘤:一项基于人群的关于发生率、危险因素及预后的研究

Second Primary Malignancies in Patients with Pancreatic Neuroendocrine Neoplasms: A Population-Based Study on Occurrence, Risk Factors, and Prognosis.

作者信息

Hu Tulan, Wang Wei, He Chiyi

机构信息

Department of Gastroenterology, Yijishan Hospital of Wannan Medical College, Wuhu 241000, China.

出版信息

J Oncol. 2021 Oct 31;2021:1565089. doi: 10.1155/2021/1565089. eCollection 2021.

Abstract

BACKGROUND

This study aimed to evaluate the risk factors of developing second primary malignancies (SPMs) among patients with pancreatic neuroendocrine neoplasms (pNENs) and the prognosis of pNENs patients with SPMs (pSPMs) using data from the Surveillance, Epidemiology, and End Results (SEER) database.

METHODS

Data from patients diagnosed with pNENs between 1988 and 2016 were extracted. A case-control study was conducted to investigate the risk factors of developing SPMs among patients with pNENs. Meanwhile, cox regression analysis was also conducted to obtain the independent prognostic factors in pSPMs.

RESULTS

Of 7,630 patients with pNENs, 326 developed SPMs. Patients with pNENs who had not undergone surgery and had been diagnosed in recent periods had a higher risk of developing SPMs. The following independent prognostic predictors for pSPMs were identified: age, latency period, SEER stage, radiotherapy, and surgery.

CONCLUSIONS

These findings may improve the surveillance of risk factors for developing SPMs in patients with pNENs and the prognostic risk factors in pSPMs.

摘要

背景

本研究旨在利用监测、流行病学和最终结果(SEER)数据库的数据,评估胰腺神经内分泌肿瘤(pNENs)患者发生第二原发性恶性肿瘤(SPMs)的风险因素以及pNENs合并SPMs(pSPMs)患者的预后情况。

方法

提取1988年至2016年间诊断为pNENs的患者数据。进行病例对照研究以调查pNENs患者发生SPMs的风险因素。同时,进行cox回归分析以获得pSPMs的独立预后因素。

结果

在7630例pNENs患者中,326例发生了SPMs。未接受手术且近期诊断的pNENs患者发生SPMs的风险更高。确定了以下pSPMs的独立预后预测因素:年龄、潜伏期、SEER分期、放疗和手术。

结论

这些发现可能会改善对pNENs患者发生SPMs的风险因素以及pSPMs的预后风险因素的监测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b8ca/8572596/779f687c68c7/JO2021-1565089.001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验