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Analysis of Survival Predictors in Patients with Lung Cancer and Brain Metastases

Authors :
Shaohua CUI
Hao BAI
Lili DONG
Yizhuo ZHAO
Aiqin GU
Wei ZHANG
Yuqing LOU
Liyan JIANG
Source :
Chinese Journal of Lung Cancer, Vol 18, Iss 7, Pp 436-442 (2015)
Publication Year :
2015
Publisher :
Chinese Anti-Cancer Association; Chinese Antituberculosis Association, 2015.

Abstract

Background and objective The prognosis for patients with lung cancer and brain metastases remains poor, with approximately 6 months of survival, despite active measures after treatment. In this study, we determined and analyzed clinical parameters that affect the survival of patients with lung cancer and brain metastases to provide clinical guidance. Methods Lung cancer cases with brain metastases were retrospectively collected during 2002 and 2008 from Shanghai Chest Hospital, Shanghai Jiao Tong University. Kaplan-Meier method and Cox regression were performed for univariate and multivariate analyses, respectively, to explore independent predictors influencing the survival of patients with lung cancer and brain metastases. Results Age, Eastern Cooperative Oncology Group performance status (ECOG PS), metastasis interval, number of metastasis, treatment method, treatment period, symptoms of brain metastases, extracranial metastasis, and brain metastasis order were factors that affect the survival of patients with brain metastases as confirmed through the Kaplan-Meier method. Treatment periods and extracranial metastasis were independent survival predictors in patients with lung cancer and brain metastasis as indicated by Cox proportional hazard model. Conclusion Treatment periods and extracranial metastasis were independent predictors of survival of patients with lung cancer and brain metastasis. Treatment periods and extracranial metastasis were independent predictors of survival of patients with lung cancer and brain metastasis.

Details

Language :
Chinese
ISSN :
10093419 and 19996187
Volume :
18
Issue :
7
Database :
Directory of Open Access Journals
Journal :
Chinese Journal of Lung Cancer
Publication Type :
Academic Journal
Accession number :
edsdoj.31908664c64d4a198fb282e6079c7f07
Document Type :
article
Full Text :
https://doi.org/10.3779/j.issn.1009-3419.2015.07.08