Evidence map›Paper›PMID 36338645›Full record

ArticleFrontiers in surgery2022

A modified mTNM staging system based on lymph node ratio for colon neuroendocrine tumors: A recursive partitioning analysis.

Ye Wang, Huajun Cai, Yiyi Zhang, Jinfu Zhuang, Xing Liu, Guoxian Guan

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Article in Frontiers in surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

6 authors.

Ye WangDepartment of Colorectal Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Huajun CaiDepartment of Colorectal Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Yiyi ZhangDepartment of Colorectal Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Jinfu ZhuangDepartment of Colorectal Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Xing LiuDepartment of Colorectal Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.
Guoxian GuanDepartment of Colorectal Surgery, The First Affiliated Hospital of Fujian Medical University, Fuzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In the current tumor-lymph node-metastasis (TNM) staging system for colon neuroendocrine tumors, lymph node status is divided into N1 and N0. An assessment of the lymph node ratio (LNR) and a proposal for a modified mTNM staging system were the objectives of this study. Methods: Selecting the optimal cut-off value of LNR was done using X-tile. A Cox regression model and the Kaplan-Meier method were performed to calculate patient cancer-specific survival in the Surveillance, Epidemiology and End Results cohort. Recursive partitioning analysis was used to improve TNM staging. Results: The study included 674 patients. The current TNM staging system showed inadequate discriminatory power between stage I and stage II patients ( Conclusions: Our study determined that LNR is a prognostic factor in colon NET patients. In addition, to more accurately assess the prognosis of colon NET patients, we proposed a modified mTNM staging system.

Indexed as

colonlymph node rationeuroendcrine tumorprognosisrecursive partitioning analysis

Identifiers

PMID36338645
PMCPMC9634476

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