The prognostic value of quality of life scores during treatment for oesophageal cancer

Citation
Jm. Blazeby et al., The prognostic value of quality of life scores during treatment for oesophageal cancer, GUT, 49(2), 2001, pp. 227-230
Citations number
20
Categorie Soggetti
Gastroenerology and Hepatology","da verificare
Journal title
GUT
ISSN journal
00175749 → ACNP
Volume
49
Issue
2
Year of publication
2001
Pages
227 - 230
Database
ISI
SICI code
0017-5749(200108)49:2<227:TPVOQO>2.0.ZU;2-Z
Abstract
Background - Quality of life (QL) data are useful to evaluate the effective ness of treatment. Accumulating evidence suggests that QL data may predict survival. Aims - In this study we investigated if baseline QL scores and changes in Q L scores before and after intervention are prognostic for patients with oes ophageal cancer. Patients - Between 1993 and 1995, 92 consecutive new patients with oesophag eal cancer were studied; 89 were followed until death or the end of the stu dy period (survival of seven patients was censored in May 1999). Methods - All patients completed the European Organisation for Research and Treatment of Cancer (EORTC) core questionnaire (EORTC QLQ-C30) and the dys phagia scale of the oesophageal module (EORTC QLQ-OES24) before treatment a nd at regular intervals throughout the study. Cox's proportional hazards mo dels assessed the impact of baseline QL variables and changes in QL scores on survival. Results - Cox's proportional hazards models, adjusting for associations bet ween QL scores, age, and TNM stage, found that physical function at baselin e was significantly associated with survival (p=0.002). An increase in phys ical function score of 10 points corresponded to a 12% reduction in the lik elihood of death at any given time (95% confidence intervals 4-18%). Furthe r exploratory multivariable analyses suggested that improvement in emotiona l function six months after treatment was significantly related to longer s urvival (p <0.0001), Conclusions - These data provide evidence to support a relationship between patient rated scores of QL and survival. Further understanding of the asso ciations between QL and clinical variables is needed.