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

As a malignant tumor with poor prognosis, accurate and effective treatment of non-small cell lung cancer (NSCLC) is crucial. To predict overall survival in patients with stage II and III NSCLC, a nomogram was constructed using data from the Surveillance, Epidemiology and End Results database. Eligib...

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Bibliographic Details
Published in:Oncology letters 2019-12, Vol.18 (6), p.5905-5916
Main Authors: Liao, Yi, Wang, Xue, Zhong, Ping, Yin, Guofang, Fan, Xianming, Huang, Chengliang
Format: Article
Language:English
Subjects:
African Americans
Age
Cancer metastasis
Cancer research
Cancer therapies
Chemotherapy
Committees
Epidemiology
Histology
Intelligence gathering
Lung cancer
Lymphatic system
Marriage
Medical prognosis
Medical research
Mortality
Nomograms
Non-small cell lung cancer
Oncology
Patients
Population-based studies
Radiation (Physics)
Radiotherapy
Regression analysis
Small cell lung cancer
Software
Surgery
Tumors
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Summary:As a malignant tumor with poor prognosis, accurate and effective treatment of non-small cell lung cancer (NSCLC) is crucial. To predict overall survival in patients with stage II and III NSCLC, a nomogram was constructed using data from the Surveillance, Epidemiology and End Results database. Eligible patients with NSCLC with available clinical information diagnosed between January 1, 2010 and November 31, 2015 were selected from the database, and the data were randomly divided into a training set and a validation set. Univariate and multivariate Cox regression analyses were used to identify prognostic factors with a threshold of P
ISSN:1792-1074
1792-1082
DOI:10.3892/ol.2019.10977