Factors affecting the health-related quality of life in lung cancer patients: Measured by EORTC QLQ-C30 QLQ-LC13

2003 ◽  
Vol 15 (4) ◽  
pp. 290-299
Author(s):  
Xiao-lin Cheng ◽  
Jin-wei Chi ◽  
De-ming Zhou
Keyword(s):  
Quality Of Life ◽  
Lung Cancer ◽  
Health Related Quality ◽  
Factors Affecting ◽  
Lung Cancer Patients ◽  
Related Quality ◽  
Eortc Qlq C30 ◽  
Health Related ◽  
Eortc Qlq

Does change in health-related quality of life (HRQoL) score predict survival? Analysis of a lung cancer RCT.

2012 ◽  
Vol 30 (15_suppl) ◽  
pp. 7607-7607
Author(s):  
Divine Ewane Ediebah ◽  
Corneel Coens ◽  
Efstathios Zikos ◽  
Chantal Quinten ◽  
Jolie Ringash ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Lung Cancer ◽  
Performance Status ◽  
Health Related Quality ◽  
Related Quality ◽  
Eortc Qlq C30 ◽  
Health Related ◽  
Eortc Qlq ◽  
Over Time

7607 Background: Over 60 cancer clinical trials have shown that baseline health-related quality of life (HRQoL) scores are prognostic for patient survival. Few studies have investigated the added value of change in HRQoL scores. Our aim was to investigate if change in HRQoL scores from baseline over time is also associated with survival. Methods: We analyzed data from an EORTC 3-arm randomized clinical trial (RCT) in advanced non-small-cell lung cancer (NSCLC) patients, comparing gemcitabine+cisplatin, versus paclitaxel+gemcitabine, versus standard arm paclitaxel+cisplatin. HRQoL was measured in 394 patients using the EORTC QLQ-C30 at baseline and after each chemotherapy cycle. The prognostic significance of sex, age and WHO performance status (0-1 vs. 2) and the 15 QLQ-C30 subscales were assessed with Cox proportional hazard models stratified for treatment (level of significance 0.05). Changes in HRQoL scores from baseline to each chemotherapy cycle assessment were categorized as “improved”, “stable” and “worsened” using a threshold of 10 points difference. Due to expected attrition, the analysis was limited to changes from baseline up to cycle 3. Results: There were 248 patients in cycle 1, 212 in cycle 2 and 196 in cycle 3. We performed analyses separately using data at cycle 1, cycle 2, and cycle 3. In all analyses, HRQoL in various subscales and socio-demographic and clinical variables (physical functioning (hazard ratio [HR] 0.91, 95% CI 0.85-0.98; p=0.0103), pain (1.11, 1.05-1.17; p= 0.0004), age (0.98, 0.97-1.00, p=0.0413) and WHO performance status (1.77, 1.09-2.89; p=0.0218) at cycle 1; pain (1.11, 1.03-1.20; p=0.0016), age (0.98, 0.96-1.00; p=0.0217) and sex (0.63, 0.42-0.95; p=0.0081) at cycle 2; and role functioning (0.93, 0.88-1.00; p=0.0128) and age (0.98, 0.96-1.00; p=0.0081) at cycle 3) predicted survival; however, change in HRQoL was only an independent predictor for improvement at cycle 1. Conclusions: Our findings suggest that change from baseline over time in HRQoL, as measured on subscales of the EORTC QLQ-C30, contains added prognostic value for survival independent of baseline HRQoL scores. Further work is needed to assess the robustness and sensitivity of these findings.

scholarly journals OC-0320: Pre-radiotherapy health related quality of life assessment associates with survival in lung cancer patients

2015 ◽  
Vol 115 ◽  
pp. S160
Author(s):  
S. Perez-Luque ◽  
J. Cacicedo ◽  
L. Delgado Arroniz ◽  
J.M. Praena-Fernandez ◽  
E. Montero ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Lung Cancer ◽  
Cancer Patients ◽  
Life Assessment ◽  
Health Related Quality ◽  
Quality Of Life Assessment ◽  
Lung Cancer Patients ◽  
Related Quality ◽  
Health Related

scholarly journals Reliability and validity of Amharic version of EORTC QLQ-C30 and QLQ-BR23 modules for assessing health-related quality of life among breast cancer patients in Ethiopia

2019 ◽  
Vol 17 (1) ◽  
Author(s):  
Diriba Alemayehu Gadisa ◽  
Esayas Tadesse Gebremariam ◽  
Getnet Yimer Ali
Keyword(s):  
Breast Cancer ◽  
Quality Of Life ◽  
Cancer Patients ◽  
Health Related Quality ◽  
Breast Cancer Patients ◽  
Related Quality ◽  
Eortc Qlq C30 ◽  
Health Related ◽  
Eortc Qlq

Abstract Background Breast cancer is the most common cancer among women and it affects quality of life of those women. So far, the two most frequently used tools for assessing health related quality of life in breast cancer patients, EORTC QLQ-C30 and EORTC QLQ-BR23 modules, were not validated in Ethiopia. Hence, the present study aimed to assess the psychometric properties of the tools among Ethiopian breast cancer patients. Methods Institutional based longitudinal study was conducted from January 1 to May 1, 2017 GC at only nationwide oncology center, Tikur Anbessa Specialized Hospital (TASH), Addis Ababa, Ethiopia. A total of 146 patients who visited the facility during that period, with no missing quality of life data, were selected for analysis. The psychometric properties of the EORTC QLQ-C30 and EORTC QLQ-BR23 were evaluated in terms of reliability, convergent, divergent, construct and clinical validity using SPSS version 22. Results Satisfactory internal consistency reliability (Cronbach’s α coefficients > 0.7) was confirmed, except for cognitive function (α = 0.516) of EORTC QLQ-C30 and body image (α = 0.510) of EORTC QLQ-BR23. Multiple-trait scaling analysis demonstrated a good convergent and divergent validity. No scaling errors were observed. Most items in EORTC QLQ-BR23 possessed a weak or no correlation with its own dimension in EORTC QLQ-C30 (r < 0.4) except with some of symptom scales. A statistically significant chemotherapy induced quality of life scores changes (P ≤ 0.05) were observed in all dimensions of both instruments between baseline and the end of first cycle chemotherapy, except for body image (P = 0.985) and sexual enjoyment (P = 0.817) of EORTC QLQ-BR23, indicating clinical validity. Conclusion Amharic version of the EORTC QLQ-C30 and EORTC QLQ-BR23 modules are valid and adequately reliable tool and can be used for clinical and epidemiological cancer researches to study the health related quality of life (HRQoL) of women with breast cancer in Ethiopia.

The effect of gender on health-related quality of life and related factors in post-lobectomy lung-cancer patients

2015 ◽  
Vol 19 (3) ◽  
pp. 292-300 ◽  
Author(s):  
Nai-Wen Chang ◽  
Kuan- Chia Lin ◽  
Wen-Hu Hsu ◽  
Shih-Chun Lee ◽  
James Yi-Hsin Chan ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Lung Cancer ◽  
Cancer Patients ◽  
Health Related Quality ◽  
Related Factors ◽  
Lung Cancer Patients ◽  
Related Quality ◽  
Health Related

Health-Related Quality of Life As a Survival Predictor for Patients With Localized Head and Neck Cancer Treated With Radiation Therapy

2009 ◽  
Vol 27 (18) ◽  
pp. 2970-2976 ◽  
Author(s):  
François Meyer ◽  
André Fortin ◽  
Michel Gélinas ◽  
Abdenour Nabid ◽  
François Brochet ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Radiation Therapy ◽  
Head And Neck ◽  
Prognostic Value ◽  
Health Related Quality ◽  
Related Quality ◽  
Eortc Qlq C30 ◽  
Health Related ◽  
Eortc Qlq

Purpose To assess the added prognostic value for overall survival (OS) of baseline health-related quality of life (HRQOL) and of early changes in HRQOL among patients with localized head and neck cancer (HNC) treated with radiation therapy. Patients and Methods All 540 patients with HNC who participated in a randomized trial completed two HRQOL instruments before radiation therapy: the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire C30 (EORTC QLQ-C30) and the Head and Neck Radiotherapy Questionnaire. Six months after the end of radiation therapy, 497 trial participants again completed the two HRQOL instruments. During the follow-up, 179 deaths were observed. Multivariate Cox proportional hazards models were used to test whether HRQOL variables, baseline and change, provided additional prognostic value beyond recognized prognostic factors. Results The baseline EORTC QLQ-C30 physical functioning (PF) score was an independent predictor of OS. The hazard ratio (HR) associated with a 10-point increment in baseline PF was 0.87 (95% CI, 0.81 to 0.94). In multivariate models, the change in HRQOL was significantly associated with OS for most HRQOL dimensions. Among these, PF change was the strongest predictor. The magnitude of the association between PF change and survival decreased over time. At 1 year, the HR associated with a positive PF change of 10 points was 0.75 (95% CI, 0.68 to 0.83). After PF is taken into account, no other HRQOL variable was associated with survival. Conclusion Our findings indicate that both baseline PF and PF change provide added prognostic value for OS beyond established predictors in patients with HNC. Assessing HRQOL could help better predict survival of cancer patients.

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