Literature DB >> 10023700

Is quality of life predictive of the survival of patients with advanced nonsmall cell lung carcinoma?

J E Herndon1, S Fleishman, A B Kornblith, M Kosty, M R Green, J Holland.   

Abstract

BACKGROUND: Several studies have recently reported on the importance of quality of life (QOL) in predicting the survival of patients with lung carcinoma. To confirm these reports, the relationship between survival and QOL, as measured by the European Organization for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire and Duke-UNC Social Support Scale, was examined within a group of 206 patients with advanced nonsmall cell lung carcinoma treated in a randomized clinical trial conducted by the Cancer and Leukemia Group B (CALGB 8931).
METHODS: Patients completed the EORTC instrument and the Duke-UNC Social Support Scale at baseline in the clinic. The Cox proportional hazards model was used to determine the incremental contribution QOL provided in predicting survival beyond the effect of known clinical prognostic variables.
RESULTS: Clinical factors that were jointly predictive of poorer survival included low performance status, nonadenocarcinoma histology, presence of dyspnea, weight loss greater than 5%, albumin level less than 3.5 mg/dL, and adrenal metastases. Univariate analyses showed that patient-reported EORTC subscales describing increased pain, appetite loss, fatigue, lung carcinoma symptoms, poorer overall QOL, and poorer physical functioning predicted significantly poorer survival. Multivariate analyses showed that, after adjustment for clinical factors, overall QOL was not a significant predictor of survival. Rather, the only EORTC subscale of prognostic importance was the pain subscale, in which a 40-point increase was associated with a 27% increase in the hazard rate.
CONCLUSIONS: This study did not confirm the prognostic importance of overall QOL. Rather, after adjustment for significant clinical factors, a patient-provided pain report had the greatest prognostic importance.

Entities:  

Mesh:

Year:  1999        PMID: 10023700     DOI: 10.1002/(sici)1097-0142(19990115)85:2<333::aid-cncr10>3.0.co;2-q

Source DB:  PubMed          Journal:  Cancer        ISSN: 0008-543X            Impact factor:   6.860


  46 in total

1.  Effects of aerobic training on oxidative status in postsurgical non-small cell lung cancer patients: a pilot study.

Authors:  Lee W Jones; Neil D Eves; Ivan Spasojevic; Frances Wang; Dora Il'yasova
Journal:  Lung Cancer       Date:  2010-09-21       Impact factor: 5.705

Review 2.  A systematic review of the impact of pain on overall survival in patients with cancer.

Authors:  Dylan Zylla; Grant Steele; Pankaj Gupta
Journal:  Support Care Cancer       Date:  2017-02-11       Impact factor: 3.603

3.  Quality of life as a potential predictor for morbidity and mortality in patients with metastatic hormone-refractory prostate cancer.

Authors:  Patrick W Sullivan; Joel B Nelson; Parvez M Mulani; Darryl Sleep
Journal:  Qual Life Res       Date:  2006-08-10       Impact factor: 4.147

4.  Weekly administration of paclitaxel and carboplatin with concurrent thoracic radiation in previously untreated elderly patients with locally advanced non-small-cell lung cancer: A case series of 20 patients.

Authors:  Jumpei Takeshita; Katsuhiro Masago; Shiro Fujita; Akito Hata; Reiko Kaji; Takahisa Kawamura; Koji Tamai; Takeshi Matsumoto; Kazuma Nagata; Kyoko Otsuka; Atsushi Nakagawa; Kojiro Otsuka; Keisuke Tomii; Takashi Shintani; Kenji Takayama; Masaki Kokubo; Nobuyuki Katakami
Journal:  Mol Clin Oncol       Date:  2014-01-28

Review 5.  Associations of social networks with cancer mortality: a meta-analysis.

Authors:  Martin Pinquart; Paul R Duberstein
Journal:  Crit Rev Oncol Hematol       Date:  2009-07-14       Impact factor: 6.312

6.  The European organization for research and treatment of cancer quality of life questionnaire: implications for prognosis in pancreatic cancer.

Authors:  Digant Gupta; Christopher G Lis; James F Grutsch
Journal:  Int J Gastrointest Cancer       Date:  2006

7.  A longitudinal study of the role of patient-reported outcomes on survival prediction of palliative cancer inpatients in Taiwan.

Authors:  Jing-An Chang; Chia-Chin Lin
Journal:  Support Care Cancer       Date:  2009-02-12       Impact factor: 3.603

8.  Baseline FACT-G score is a predictor of survival for advanced lung cancer.

Authors:  M Dharma-Wardene; H J Au; J Hanson; D Dupere; J Hewitt; D Feeny
Journal:  Qual Life Res       Date:  2004-09       Impact factor: 4.147

9.  Predictive value of serial measurements of quality of life on all-cause mortality in prostate cancer patients: data from CaPSURE (cancer of the prostate strategic urologic research endeavor) database.

Authors:  Natalia Sadetsky; Alan Hubbard; Peter R Carroll; William Satariano
Journal:  Qual Life Res       Date:  2009-08-21       Impact factor: 4.147

Review 10.  Quality of life data as prognostic indicators of survival in cancer patients: an overview of the literature from 1982 to 2008.

Authors:  Ali Montazeri
Journal:  Health Qual Life Outcomes       Date:  2009-12-23       Impact factor: 3.186

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.