清晨好,您是今天最早来到科研通的研友!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您科研之路漫漫前行!

Development and validation of prognostic model based on extragastric lymph nodes metastasis and lymph node ratio in node-positive gastric cancer: a retrospective cohort study based on a multicenter database

医学 阶段(地层学) 旁侵犯 内科学 淋巴结 队列 比例危险模型 回顾性队列研究 癌症 肿瘤科 T级 多元分析 生物 古生物学
作者
Yi Zeng,Fenglin Cai,Pengliang Wang,Xinyu Wang,Yong Liu,Li Zhang,Rupeng Zhang,Luchuan Chen,Han Liang,Zaisheng Ye,Jingyu Deng
出处
期刊:International Journal of Surgery [Wolters Kluwer]
卷期号:109 (4): 794-804 被引量:10
标识
DOI:10.1097/js9.0000000000000308
摘要

Background: Regional lymph node metastasis (LNM) is a competent and the most intensive predictor for the prognostic evaluation of patients after curative surgery. This study is based on the databases of two large medical centers in North and South China. It aims to establish a prognostic model based on extragastric LNM (ELNM) and lymph node ratio (LNR) in node-positive gastric cancer (GC). Methods: Clinical data of 874 GC patients with pathologically confirmed LNM in a large medical center in southern China, were included as the training cohort. In addition, the clinical data of 674 patients with pathologically confirmed LNM from a large medical center in northern China were used as the validation cohort. Results: In the training cohort, a modified N staging system (mNstage) based on ELNM and LNR was established; it has a significantly higher prognostic accuracy than the pN, LNR and ELNM staging system (Akaike Information Criterion, pN stage vs. LNR stage vs. ELNM stage vs. mN stage=5498.479 vs. 5537.815 vs. 5569.844 vs. 5492.123; Bayesian Information Criterion, pN stage vs. LNR stage vs. ELNM stage vs. mN stage=5512.799 vs. 5547.361 vs. 5574.617 vs. 5506.896; likelihood-ratio χ 2 , pN stage vs. LNR stage vs. ELNM stage vs. mN stage=177.7 vs. 149.8 vs. 115.79 vs. 183.5). In the external validation, mNstage also has higher prognostic accuracy than the pN, LNR and ELNM staging system. Cox multivariate regression analysis showed that age, mNstage, pT stage, and perineural invasion were independent factors. A nomogram model was established according to the four factors (age, mNstage, pT stage, and perineural invasion). The nomogram model was greater than the traditional tumor–node–metastasis (TNM) staging in the training cohort [1-year area under the curve (AUC), American Joint Commission for Cancer (AJCC) 8th TNM vs. nomogram=0.692 vs. 0.746, 3-year AUC: AJCC 8th TNM vs. nomogram=0.684 vs. 0.758, 5-year AUC: AJCC 8th TNM vs. nomogram=0.725 vs. 0.762]. In the external validation, the nomogram also showed better prognostic value and greater prediction accuracy than the traditional TNM staging. Conclusion: The prognostic model based on ELNM and LNR has good prognostic prediction in patients with node-positive GC.
最长约 10秒,即可获得该文献文件

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
fufu发布了新的文献求助10
9秒前
14秒前
嘻嘻哈哈应助NattyPoe采纳,获得10
18秒前
Mimi发布了新的文献求助10
20秒前
NexusExplorer应助Mimi采纳,获得10
31秒前
fufu关注了科研通微信公众号
36秒前
今后应助NattyPoe采纳,获得10
39秒前
46秒前
phr发布了新的文献求助10
51秒前
大医仁心完成签到 ,获得积分10
1分钟前
orixero应助阿七奶呼呼的采纳,获得10
1分钟前
1分钟前
1分钟前
1分钟前
2分钟前
zsmj23完成签到 ,获得积分0
2分钟前
NattyPoe发布了新的文献求助10
2分钟前
两个榴莲完成签到,获得积分0
2分钟前
范白容完成签到 ,获得积分10
2分钟前
包容哑铃完成签到,获得积分20
3分钟前
3分钟前
求真完成签到,获得积分10
3分钟前
3分钟前
勤奋的惋庭完成签到,获得积分10
3分钟前
包容哑铃发布了新的文献求助10
3分钟前
3分钟前
聪慧的思雁完成签到,获得积分10
4分钟前
Criminology34应助幽森之魅采纳,获得10
4分钟前
4分钟前
4分钟前
聪慧的思雁关注了科研通微信公众号
4分钟前
淡淡山兰发布了新的文献求助10
4分钟前
5分钟前
冬狩发布了新的文献求助10
5分钟前
李健的小迷弟应助甄开心采纳,获得10
5分钟前
5分钟前
冬狩完成签到,获得积分10
5分钟前
甄开心发布了新的文献求助10
5分钟前
5分钟前
不想读文献应助淡淡山兰采纳,获得10
5分钟前
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
Lewis’s Child and Adolescent Psychiatry: A Comprehensive Textbook Sixth Edition 2000
Wolffs Headache and Other Head Pain 9th Edition 1000
Continuing Syntax 1000
Signals, Systems, and Signal Processing 510
荧光膀胱镜诊治膀胱癌 500
First trimester ultrasound diagnosis of fetal abnormalities 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6223487
求助须知:如何正确求助?哪些是违规求助? 8048790
关于积分的说明 16779475
捐赠科研通 5308143
什么是DOI,文献DOI怎么找? 2827698
邀请新用户注册赠送积分活动 1805712
关于科研通互助平台的介绍 1664844