The minimal number of examined lymph nodes for accurate nodal staging and favorable prognosis in T1-2 supraglottic laryngeal squamous cell carcinoma

医学 淋巴 阶段(地层学) 监测、流行病学和最终结果 比例危险模型 肿瘤科 内科学 T级 淋巴结 多元分析 流行病学 癌症 外科 病理 癌症登记处 古生物学 生物
作者
Lingdun Zhuge,Shixu Wang,Zehao Huang,Huizhu Cai,Zhengjiang Li
出处
期刊:Ejso [Elsevier]
卷期号:49 (10): 107041-107041 被引量:2
标识
DOI:10.1016/j.ejso.2023.107041
摘要

Objective The study aimed to investigate the minimal number of examined lymph nodes (ELNs) for accurate assessment of lymph node status and favorable prognosis in patients with stage T1-2 supraglottic laryngeal squamous cell carcinoma (LSCC) who received radical resection. Methods Patients with stage T1-2 supraglottic LSCC from the Surveillance, Epidemiology, and End Results (SEER) database and the Chinese Academy of Medical Sciences, Cancer Hospital/National Cancer Center (NCC) were reviewed. The association of the ELN count with the identification of nodal metastasis and overall survival (OS) was analyzed using a multivariate regression model. Locally weighted scatterplot smoothing fitting curve and the ‘changepoint’ package were adopted to identify the optimal cut points using R. Results A total of 429 patients from the SEER database and 53 patients from NCC were enrolled. The probability of identifying nodal metastasis was positively related to the ELN count. For patients diagnosed with pathological stage N0 (pN0) disease, the mortality risks rapidly decreased when the amount of ELNs exceeded ten, and those with ELNs >10 had better OS. Conclusion An adequate amount of ELNs benefits precise nodal staging in patients with stage T1-2 supraglottic LSCC. Ten lymph nodes are the minimum number of ELNs. For pN0 patients, an ELN count ≤10 is an unfavorable prognostic factor.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
plotu完成签到,获得积分10
1秒前
1秒前
1秒前
1秒前
直菱发布了新的文献求助10
1秒前
minmin959完成签到,获得积分10
2秒前
wuxifan发布了新的文献求助10
2秒前
灰鸽舞完成签到 ,获得积分10
2秒前
3秒前
欧克欧克完成签到,获得积分10
3秒前
量子星尘发布了新的文献求助10
3秒前
lky发布了新的文献求助10
3秒前
3秒前
3秒前
nn完成签到 ,获得积分10
4秒前
打打应助懵懂的钢笔采纳,获得10
4秒前
4秒前
4秒前
4秒前
英姑应助科研通管家采纳,获得10
4秒前
QIQI发布了新的文献求助10
4秒前
4秒前
研友_VZG7GZ应助科研通管家采纳,获得10
4秒前
4秒前
4秒前
打打应助科研通管家采纳,获得10
4秒前
大白应助科研通管家采纳,获得20
5秒前
充电宝应助科研通管家采纳,获得10
5秒前
Owen应助科研通管家采纳,获得10
5秒前
天天快乐应助科研通管家采纳,获得10
5秒前
stiger应助科研通管家采纳,获得10
5秒前
蜀安应助科研通管家采纳,获得30
5秒前
5秒前
5秒前
善学以致用应助机灵水卉采纳,获得10
5秒前
科研通AI6应助科研通管家采纳,获得10
6秒前
顾矜应助科研通管家采纳,获得10
6秒前
小马甲应助科研通管家采纳,获得10
6秒前
悦yue发布了新的文献求助10
6秒前
6秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Introduction to strong mixing conditions volume 1-3 5000
Clinical Microbiology Procedures Handbook, Multi-Volume, 5th Edition 2000
The Cambridge History of China: Volume 4, Sui and T'ang China, 589–906 AD, Part Two 1000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1000
Real World Research, 5th Edition 800
Qualitative Data Analysis with NVivo By Jenine Beekhuyzen, Pat Bazeley · 2024 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5719256
求助须知:如何正确求助?哪些是违规求助? 5255673
关于积分的说明 15288302
捐赠科研通 4869143
什么是DOI,文献DOI怎么找? 2614653
邀请新用户注册赠送积分活动 1564667
关于科研通互助平台的介绍 1521894