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Nomogram based on homogeneous and heterogeneous associated factors for predicting bone metastases in patients with different histological types of lung cancer

Authors :
Chao Zhang
Min Mao
Xu Guo
Ping Cui
Lianmin Zhang
Yao Xu
Lili Li
Xiuxin Han
Karl Peltzer
Shunbin Xiong
Vladimir P. Baklaushev
Xin Wang
Guowen Wang
Source :
BMC Cancer, Vol 19, Iss 1, Pp 1-12 (2019)
Publication Year :
2019
Publisher :
BMC, 2019.

Abstract

Abstract Background The purpose of the present study was to characterize the prevalence, associated factors, and to construct a nomogram for predicting bone metastasis (BM) with different histological types of lung cancer. Patients and methods This study was a descriptive study that basing on the invasive lung cancer patients diagnosed between 2010 and 2014 in Surveillance, Epidemiology, and End Results program. A total of 125,652 adult patients were retrieved. Logistic regression analysis was conducted to investigate homogeneous and heterogeneous factors for BM occurrence. Nomogram was constructed to predict the risk for developing BM and the performance was evaluated by the receiver operating characteristics curve (ROC) and the calibration curve. The overall survival of the patients with BM was analyzed using the Kaplan–Meier method and the survival differences were tested by the log-rank test. Results A total of 25,645 (20.9%) were reported to have BM, and the prevalence in adenocarcinoma, squamous cell carcinoma, small cell lung cancer (SCLC), large cell lung cancer (LCLC), and non-small cell lung cancer/not otherwise specified lung cancer (NSCLC/NOS) were 24.4, 12.5, 24.7, 19.5 and 19.4%, respectively, with significant difference (P

Details

Language :
English
ISSN :
14712407
Volume :
19
Issue :
1
Database :
Directory of Open Access Journals
Journal :
BMC Cancer
Publication Type :
Academic Journal
Accession number :
edsdoj.4f210bc479140a9bd77d118c31e9744
Document Type :
article
Full Text :
https://doi.org/10.1186/s12885-019-5445-3