The Positive Lymph Node Ratio Predicts Survival in T1−4N1−3M0 Non-Small Cell Lung Cancer: A Nomogram Using the SEER Database
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
The Positive Lymph Node Ratio Predicts Survival in T1−4N1−3M0 Non-Small Cell Lung Cancer: A Nomogram Using the SEER Database
Authors
Keywords
-
Journal
Frontiers in Oncology
Volume 10, Issue -, Pages -
Publisher
Frontiers Media SA
Online
2020-08-05
DOI
10.3389/fonc.2020.01356
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Construction of a Nomogram After Using Propensity Score Matching to Reveal the Prognostic Benefit of Tumor Resection of Stage IV M1a Nonsmall Cell Lung Cancer Patients
- (2020) Guofang Yin et al. CANCER INVESTIGATION
- Pneumonectomy after induction chemoradiotherapy for locally advanced non-small cell lung cancer: should curative intent pulmonary resection be avoided?
- (2019) Masafumi Yamaguchi et al. SURGERY TODAY
- Extramural spread of rectal cancer and the AJCC Cancer Staging Manual 8th edition, 2017
- (2019) R J Nicholls et al. ANNALS OF ONCOLOGY
- A prognostic score system with lymph node ratio in stage IIIA-N2 NSCLC patients after surgery and adjuvant chemotherapy
- (2019) Han Han et al. JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY
- Optimal adjuvant therapy in clinically N2 non-small cell lung cancer patients undergoing neoadjuvant chemotherapy and surgery: The importance of pathological response and lymph node ratio
- (2019) Ashwin Shinde et al. LUNG CANCER
- On the Use of the Pearson Correlation Coefficient for Model Evaluation in Genome-Wide Prediction
- (2019) Patrik Waldmann Frontiers in Genetics
- Lymph node ratio as valuable predictor in pancreatic cancer treated with R0 resection and adjuvant treatment
- (2019) Min Su You et al. BMC CANCER
- A nomogram for the prediction of overall survival in patients with stage II and III non‑small cell lung cancer using a population‑based study
- (2019) Yi Liao et al. Oncology Letters
- Epidemiology of lung cancer and lung cancer screening programs in China and the United States
- (2019) Dawei Yang et al. CANCER LETTERS
- Bayesian Inference of Lymph Node Ratio Estimation and Survival Prognosis for Breast Cancer Patients
- (2019) Jing Teng et al. IEEE Journal of Biomedical and Health Informatics
- Overexpression of Flap Endonuclease 1 Correlates with Enhanced Proliferation and Poor Prognosis of Non–Small-Cell Lung Cancer
- (2018) Keqiang Zhang et al. AMERICAN JOURNAL OF PATHOLOGY
- Log odds of positive lymph nodes may predict survival benefit in patients with node-positive non-small cell lung cancer
- (2018) Weiye Deng et al. LUNG CANCER
- Sociodemographic, socioeconomic, and clinical determinants of survival in patients with cancer: A systematic review of the literature focused on the elderly
- (2018) Angéline Galvin et al. Journal of Geriatric Oncology
- Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries
- (2018) Freddie Bray et al. CA-A CANCER JOURNAL FOR CLINICIANS
- Evaluation of Variance Inflation Factors in Regression Models Using Latent Variable Modeling Methods
- (2018) Katerina M. Marcoulides et al. EDUCATIONAL AND PSYCHOLOGICAL MEASUREMENT
- Estimating the global cancer incidence and mortality in 2018: GLOBOCAN sources and methods
- (2018) J. Ferlay et al. INTERNATIONAL JOURNAL OF CANCER
- Evaluation of the 7th and 8th editions of the AJCC/UICC TNM staging systems for lung cancer in a large North American cohort
- (2017) Lin Yang et al. Oncotarget
- Prognostic and Predictive Effects of Positive Lymph Node Number or Ratio in NSCLC
- (2017) Nan Ding et al. Scientific Reports
- Risk Factors for Local and Distant Recurrence After Surgical Treatment in Patients With Non–Small-Cell Lung Cancer
- (2016) Dariusz Adam Dziedzic et al. Clinical Lung Cancer
- Proposal of a new stage grouping of gastric cancer for TNM classification: International Gastric Cancer Association staging project
- (2016) Takeshi Sano et al. Gastric Cancer
- Assessing the Clinical Impact of Risk Prediction Models With Decision Curves: Guidance for Correct Interpretation and Appropriate Use
- (2016) Kathleen F. Kerr et al. JOURNAL OF CLINICAL ONCOLOGY
- Impact of Race on Treatment and Survival among U.S. Veterans with Early-Stage Lung Cancer
- (2016) Christina D. Williams et al. Journal of Thoracic Oncology
- The IASLC Lung Cancer Staging Project: Proposals for the Revisions of the T Descriptors in the Forthcoming Eighth Edition of the TNM Classification for Lung Cancer
- (2015) Ramón Rami-Porta et al. Journal of Thoracic Oncology
- Survival Disparities in Non–Small Cell Lung Cancer by Race, Ethnicity, and Socioeconomic Status
- (2014) Stacey L. Tannenbaum et al. CANCER JOURNAL
- Lymph Node Ratio May Predict the Benefit of Postoperative Radiotherapy in Non–Small-Cell Lung Cancer
- (2013) Damien Urban et al. Journal of Thoracic Oncology
- Lung Cancer and Prognosis in Taiwan: A Population-Based Cancer Registry
- (2013) Bing-Yen Wang et al. Journal of Thoracic Oncology
- Risk factors of brain metastases in completely resected pathological stage IIIA-N2 non-small cell lung cancer
- (2012) Xiao Ding et al. Radiation Oncology
- Proposal of new nodal classifications for non-small-cell lung cancer based on the number and ratio of metastatic lymph nodes
- (2011) Haruhisa Matsuguma et al. EUROPEAN JOURNAL OF CARDIO-THORACIC SURGERY
- In patients undergoing lung resection for non-small cell lung cancer, is lymph node dissection or sampling superior?
- (2011) M. J. Hughes et al. Interactive Cardiovascular and Thoracic Surgery
- A novel clinical prognostic score incorporating the number of resected lymph-nodes to predict recurrence and survival in non-small-cell lung cancer
- (2009) Emilio Bria et al. LUNG CANCER
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now