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- W2283587279 abstract "9146 Background: Health related quality of life (HRQOL) may provide added value alongside clinical data in predicting survival. The aim of this analysis was to construct a prognostic index (PI), including HRQOL and clinical data, to assess the accuracy of survival prognosis and to identify possible subgroups at increased risk of death in a cohort of patients with metastatic cancer. Methods: Baseline data were obtained from 17 closed European Organisation for Research and Treatment of Cancer (EORTC) randomized controlled trials in 7 cancer sites. A multivariate Cox regression model was constructed including clinical, socio-demographic and EORTC QLQ-C30 variables, that were retained as prognostic (p<0.05) after stepwise regression. A quantitative PI, representing a weighted combination of the bootstrapped parameter estimates of each prognostic variable, was constructed. The C-index was used to evaluate predictive accuracy of the PI; a log-rank test to identify significant separation between low and high survival risk subgroups. Results: HRQOL and clinical data were collected at baseline from 2,410 metastatic cancer patients. The final multivariate model included three clinical variables [age, gender (0=male;1=female), WHO performance status (PS)] and three QLQ-C30 parameters [physical functioning (pf), pain (pa) and appetite loss (ap)] (all p's<0.05). The bootstrapped estimates were used to create the PI as follows: PI=0.164*age - 0.239*gender [female] + 0.311*PS + 0.007*pf + 0.004*pa + 0.005*ap. Incorporating the HRQOL variables in the PI increased the relative predictive accuracy by 8.3% compared to clinical variables alone. A significant difference (HR=1.82; CI=1.57-2.11; p<0.001) in median survival (22 vs 11 months) in the studied population was identified based on the PI. Conclusions: This PI may be useful, after further validation, for health care professionals in predicting survival and identification of subgroups at increased risk of death. In addition, a PI can be used in clinical research as a key stratification factor in the design of clinical trials. However, additional research and external validation is needed to strengthen our results. No significant financial relationships to disclose." @default.
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- W2283587279 date "2010-05-20" @default.
- W2283587279 modified "2023-09-26" @default.
- W2283587279 title "Use of health-related quality of life and clinical data as prognostic tools for survival prediction in a subgroup of metastatic cancer patients." @default.
- W2283587279 doi "https://doi.org/10.1200/jco.2010.28.15_suppl.9146" @default.
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