Log Odds of Positive Lymph Nodes Predicts Survival in Patients After Resection for Esophageal Cancer
Author:
Publisher
Elsevier BV
Subject
Cardiology and Cardiovascular Medicine,Pulmonary and Respiratory Medicine,Surgery
Reference30 articles.
1. Global cancer statistics, 2012;Torre;CA Cancer J Clin,2015
2. Evaluation of the nodal status in the 7th edition of the UICC-TNM classification for esophageal squamous cell carcinoma: proposed modifications for improved survival stratification: impact of lymph node metastases on overall survival after esophagectomy;Yamasaki;Ann Surg Oncol,2014
3. Survival benefits of postoperative chemoradiation for lymph node-positive esophageal squamous cell carcinoma;Hsu;Ann Thorac Surg,2014
4. The American Joint Committee on Cancer: the 7th edition of the AJCC cancer staging manual and the future of TNM;Edge;Ann Surg Oncol,2010
5. Can lymph node ratio replace pn categories in the tumor-node-metastasis classification system for esophageal cancer?;Tan;J Thorac Oncol,2014
Cited by 27 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Nomogram incorporating log odds of positive lymph nodes improves prognostic prediction for ovarian serous carcinoma: a real-world retrospective cohort study;BMJ Open;2023-10
2. The Role of Alternative Lymph Node Classification Systems in Gastroenteropancreatic Neuroendocrine Neoplasms (GEP-NEN): Superiority of a LODDS Scheme Over N Category in Pancreatic NEN (pNEN);Hormone and Metabolic Research;2023-07
3. The Prognostic Impact of Log Odds of Positive Lymph Nodes on Survival of Patients With Early-stage Non-small Cell Lung Cancer: A Population Study Based on the Seer Database and a Chinese Cohort;Journal of Current Oncology;2023-06
4. N, LNR or LODDS: Which Is the Most Appropriate Lymph Node Classification Scheme for Patients with Radically Resected Pancreatic Cancer?;Cancers;2022-04-06
5. Prediction of Postoperative Survival Level of Esophageal Cancer Patients Based on Kaplan-Meier (K-M) Survival Analysis and Gray Wolf Optimization (GsWO)-BP Model;Data Mining and Big Data;2022
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"全球学者库"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前全球学者库共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2023 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3