Reference : Does a patient's self-reported health-related quality of life predict survival beyond ke...
Scientific journals : Article
Human health sciences : General & internal medicine
http://hdl.handle.net/2268/38470
Does a patient's self-reported health-related quality of life predict survival beyond key biomedical data in advanced colorectal cancer?
English
Efficace, F. [> > > >]
Bottomley, A. [> > > >]
Coens, C. [> > > >]
Van Steen, Kristel mailto [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Bioinformatique >]
Conroy, T. [> > > >]
Schoffski, P. [> > > >]
Schmoll, H. [> > > >]
Van Cutsem, E. [> > > >]
Kohne, C. H. [> > > >]
2006
European Journal of Cancer
Elsevier Science
42
1
42-9
International
0959-8049
Oxford
United Kingdom
[en] Adult ; Aged ; Analysis of Variance ; Colorectal Neoplasms/*mortality/psychology ; Female ; *Health Status ; Humans ; Male ; Middle Aged ; Multicenter Studies as Topic ; Prospective Studies ; *Quality of Life ; Randomized Controlled Trials as Topic ; Self Disclosure ; Survival Analysis
[en] The purpose of this study was to determine whether baseline patients' self reported health-related quality of life (HRQOL) parameters could predict survival beyond key biomedical prognostic factors in patients with metastatic colorectal cancer. The analysis was conducted on 299 patients. HRQOL baseline scores were assessed using the European Organisation for Research and Treatment of Cancer, Quality of Life Questionnaire-Core30 (EORTC QLQ-C30). The Cox proportional hazards regression model was used for both univariate and multivariate analyses of survival. In addition, a bootstrap resampling technique was used to assess the stability of the outcomes. The final multivariate Cox regression model retained four variables as independent prognostic factors for survival: white blood cell (WBC) count with a hazard ratio (HR) of 1.961 (95% CI, 1.439-2.672; P<0.001), alkaline phosphatase with HR=1.509 (95% CI, 1.126-2.022; P=0.005), number of sites involved with HR=1.108 (95% CI, 1.024-1.198; P=0.01) and the patient's score on the social functioning scale with HR=0.991 (95% CI, 0.987-0.996; P<0.001) which translates into a 9% decrease in the patient's hazard of death for any 10 point increase. The independent prognostic importance of social functioning and the stability of the final Cox regression model were also confirmed by the additional bootstrap model averaging analysis, based on 1000 bootstrap-generated samples. The results suggest that social functioning, acts as a prognostic measure of survival beyond a number of previously known biomedical parameters.
http://hdl.handle.net/2268/38470
2005/11/22

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