Skip to main content

Advertisement

Log in

EuroQol and survival prediction in terminal cancer patients: a multicenter prospective study in hospice-palliative care units

  • Original Article
  • Published:
Supportive Care in Cancer Aims and scope Submit manuscript

Abstract

Goals of work

Although the EuroQol (EQ-5D) is widely used for economic evaluation, it remains unclear whether it can be combined with medical data to predict survival in patients with terminal cancer.

Patients and methods

We carried out this prospective study on 142 terminal cancer patients in four hospice-palliative care units. Association was sought between survival time and a range of variables such as cancer site, performance, previous treatment, age, sex, pain, and EuroQol. The EQ-5D was transformed into the corresponding EQ-5D utility. For univariate analysis, we estimated differences in survival with the Gehan generalized Wilcoxon test. For those variables that were significant, we performed multivariate analysis using the Cox proportional hazard model.

Main results

Univariate analysis showed that sex, age, performance, previous use of chemotherapy, and the EQ-5D utility provided statistically significant prognostic survival information. The median survival time was 13.0 days for the group with an EQ-5D utility score lower than −0.5 and 21.0 days for the group with an EQ-5D utility score above −0.5. In multivariate analysis with the Cox proportional hazard model, an EQ-5D utility score ≤0.5 (RR 1.57, 95% confidence interval 1.06–2.33) was an independent negative predictor of survival.

Conclusions

The EQ-5D quality-of-life assessment tool might be useful for predicting survival time for terminal cancer patients.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1

Similar content being viewed by others

References

  1. Yun YH, Heo DS, Heo BY, Yoo TW, Bae JM, Ahn SH (2001) Development of terminal cancer prognostic score as an index in terminally ill cancer patients. Oncol Rep 8:795–800

    PubMed  CAS  Google Scholar 

  2. Coates A, Gebski V, Signorini D et al (1992) Prognostic value of quality-of-life scores during chemotherapy for advanced breast cancer. Australian New Zealand Breast Cancer Trials Group. J Clin Oncol 10:1833–1838

    PubMed  CAS  Google Scholar 

  3. Coates AS, Hurny C, Peterson HF et al (2000) Quality-of-life scores predict outcome in metastatic but not early breast cancer. International Breast Cancer Study Group. J Clin Oncol 18:3768–3774

    PubMed  CAS  Google Scholar 

  4. Blazeby JM, Brookes ST, Alderson D (2001) The prognostic value of quality of life scores during treatment for oesophageal cancer. Gut 49:227–230

    Article  PubMed  CAS  Google Scholar 

  5. Earlam S, Glover C, Fordy C et al (1996) Relation between tumor size, quality of life and survival in patients with colorectal liver metastases. J Clin Oncol 14:171–175

    PubMed  CAS  Google Scholar 

  6. Montazeri A, Milroy R, Hole D et al (2001) Quality of life in lung cancer patients: an important prognostic factor. Lung Cancer 31:233–240

    Article  PubMed  CAS  Google Scholar 

  7. Vigano A, Donaldson N, Higginson IJ, Bruera E, Mahmud S, Suarez-Almazor M (2004) Quality of life and survival prediction in terminal cancer patients: a multicenter study. Cancer 101:1090–1098

    Article  PubMed  Google Scholar 

  8. Tamburini M, Brunelli C, Rosso S, Ventafridda V (1996) Prognostic value of quality of life scores in terminal cancer patients. J Pain Symptom Manage 11:32–41

    Article  PubMed  CAS  Google Scholar 

  9. Kopec JA, Willison KD (2003) A comparative review of four preference-weighted measures of health-related quality of life. J Clin Epidemiol 56:317–325

    Article  PubMed  Google Scholar 

  10. van den Hout WB, van der Linden YM, Steenland E, Wiggenraad RG, Kievit J, de Haes H, Leer JW (2003) Single- versus multiple-fraction radiotherapy in patients with painful bone metastases: cost-utility analysis based on a randomized trial. J Natl Cancer Inst 95:222–229

    Article  PubMed  Google Scholar 

  11. Dolan P (1997) Modeling valuations for EuroQol health states. Med Care 35:1095–1108

    Article  PubMed  CAS  Google Scholar 

  12. Blazeby JM (2001) EuroQol: the current state of play. Surg Oncol 10:127–133

    Article  PubMed  CAS  Google Scholar 

  13. Yun YH, Mendoza TR, Heo DS, Yoo T, Heo BY, Park HA, Shin HC, Wang XS, Cleeland CS (2004) Development of a cancer pain assessment tool in Korea: a validation study of a Korean version of the brief pain inventory. Oncology 66:439–444

    Article  PubMed  Google Scholar 

  14. Glare PA, Eychmueller S, McMahon P (2004) Diagnostic accuracy of the palliative prognostic score in hospitalized patients with advanced cancer. J Clin Oncol 22:4823–4828. Erratum in: J Clin Oncol. 2005;23:248

    Article  PubMed  Google Scholar 

  15. Maltoni M, Pirovano M, Scarpi E, Marinari M, Indelli M, Arnoldi E, Gallucci M, Frontini L, Piva L, Amadori D (1995) Prediction of survival of patients terminally ill with cancer. Results of an Italian prospective multicentric study. Cancer 75:2613–2622

    Article  PubMed  CAS  Google Scholar 

Download references

Acknowledgements

This work was supported by National Cancer Center Grant N0110020-3.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Young Ho Yun.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Park, S.M., Park, M.H., Won, J.H. et al. EuroQol and survival prediction in terminal cancer patients: a multicenter prospective study in hospice-palliative care units. Support Care Cancer 14, 329–333 (2006). https://doi.org/10.1007/s00520-005-0889-1

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00520-005-0889-1

Keywords

Navigation