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在可切除的肝门周围胆管癌中,阴性淋巴结数量增加与长期生存改善独立相关。

Increasing negative lymph node count is independently associated with improved long-term survival in resectable perihilar cholangiocarcinomas.

作者信息

Gao Yunfeng, Xu Dong, Wu Yu-Shen, Chen Duke, Xiong Wanchun

机构信息

Department of Gynecology, Chengdu Second People's Hospital, Chengdu, Sichuan.

Department of Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing.

出版信息

Medicine (Baltimore). 2019 Apr;98(15):e14943. doi: 10.1097/MD.0000000000014943.

Abstract

To evaluate the prognostic value of numbers of negative lymph nodes (NLNs) for patients with perihilar cholangiocarcinomas.The surveillance, epidemiology, and end results database was used to screen for patients with perihilar cholangiocarcinomas. Kaplan-Meier and Cox regression analyses were used for statistical evaluations. Subsequently, propensity score matching (PSM) was performed to confirm the results.A total of 938 patients with perihilar cholangiocarcinomas met the inclusion criteria. The cut-off number for the grouping of patients with different numbers of NLNs was 17. Both the univariate and multivariate survival analyses demonstrated that there was a significant improvement in terms of cancer-specific survival for patients with >17 NLNs, compared with patients with ≤17 NLNs. Then, the above results were confirmed via a PSM procedure. Additionally, the independent prognostic value of NLNs was evaluated in subgroup univariate and multivariate analyses of patients with stage I or stage II tumors.The numbers of NLNs were evaluated and determined to be important independent prognostic factors for the cancer-specific survival of patients with perihilar cholangiocarcinomas.

摘要

评估阴性淋巴结数量(NLNs)对肝门部胆管癌患者的预后价值。利用监测、流行病学和最终结果数据库筛选肝门部胆管癌患者。采用Kaplan-Meier法和Cox回归分析进行统计学评估。随后,进行倾向评分匹配(PSM)以验证结果。共有938例肝门部胆管癌患者符合纳入标准。不同NLNs数量患者分组的截断值为17。单因素和多因素生存分析均表明,与NLNs≤17的患者相比,NLNs>17的患者在癌症特异性生存方面有显著改善。然后,通过PSM程序证实了上述结果。此外,在I期或II期肿瘤患者的亚组单因素和多因素分析中评估了NLNs的独立预后价值。NLNs数量经评估被确定为肝门部胆管癌患者癌症特异性生存的重要独立预后因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2f46/6485858/4e0bf36e9b34/medi-98-e14943-g002.jpg

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