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

Gut. 2001 Aug;49(2):227-30. doi: 10.1136/gut.49.2.227.

Abstract

Background: Quality of life (QL) data are useful to evaluate the effectiveness of treatment. Accumulating evidence suggests that QL data may predict survival.

Aims: In this study we investigated if baseline QL scores and changes in QL scores before and after intervention are prognostic for patients with oesophageal cancer.

Patients: Between 1993 and 1995, 92 consecutive new patients with oesophageal cancer were studied; 89 were followed until death or the end of the study 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 dysphagia scale of the oesophageal module (EORTC QLQ-OES24) before treatment and at regular intervals throughout the study. Cox's proportional hazards models assessed the impact of baseline QL variables and changes in QL scores on survival.

Results: Cox's proportional hazards models, adjusting for associations between QL scores, age, and TNM stage, found that physical function at baseline was significantly associated with survival (p=0.002). An increase in physical function score of 10 points corresponded to a 12% reduction in the likelihood of death at any given time (95% confidence intervals 4--18%). Further exploratory multivariable analyses suggested that improvement in emotional function six months after treatment was significantly related to longer survival (p<0.0001).

Conclusions: These data provide evidence to support a relationship between patient rated scores of QL and survival. Further understanding of the associations between QL and clinical variables is needed.

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Confidence Intervals
  • Esophageal Neoplasms / therapy*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Multivariate Analysis
  • Prognosis
  • Proportional Hazards Models
  • Prospective Studies
  • Quality of Life*
  • Reproducibility of Results
  • Survival Analysis