| Literature DB >> 24023557 |
Seo Woo Kim1, Mi Yeon Kim, Yoon Pyo Lee, Yon Ju Ryu, Seok Jeong Lee, Jin Hwa Lee, Jung Hyun Chang, Sung Shine Shim.
Abstract
BACKGROUND: More than half of cases for advanced non-small-cell lung cancer (NSCLC) occur in elderly patients with a median age at diagnosis of 70 years. The aim of our study was to examine the clinical features and prognostic factors contributing to mortality in elderly patients with advanced NSCLC.Entities:
Keywords: Aged; Carcinoma, Non-Small-Cell Lung; Mortality; Prognosis
Year: 2013 PMID: 24023557 PMCID: PMC3766809 DOI: 10.4046/trd.2013.75.2.52
Source DB: PubMed Journal: Tuberc Respir Dis (Seoul) ISSN: 1738-3536
Clinical characteristics
Values are presented as median (interquartile range) or number (%).
ECOG: Eastern Cooperative Oncology Group; BMI: body mass index; FVC: forced vital capacity; FEV1: forced expiratory volume in 1 second.
Pathology and staging
Values are presented as number (%).
Treatments
Values are presented as number (%).
Clinical outcomes and prognosis
Values are presented as median (interquartile range) or number (%).
Figure 1Kaplan-Meier Survival curves according to significant prognostic factors. (A) The cumulative survival rate as depicted graphically by the Kaplan-Meier method; p=0.005, ECOG ≥3 vs. ECOG <3. (B) The cumulative survival rate as depicted graphically by the Kaplan-Meier method; p=0.003, BMI <18.5 kg/m2 vs. BMI ≥18.5 kmg/m2. (C) The cumulative survival rate as depicted graphically by the Kaplan-Meier method; p=0.002, antitumor therapy vs. no antitumor therapy.
Multivariate analysis of prognostic factors contributing to mortality
*Cox proportional hazards model was used with the backward-elevation method with forced inclusion of variables significant in the univariate analysis.