Skip to main content

Table 1 Studies on relationship between quality of life data and survival in heterogeneous sample of cancer patients

From: Quality of life data as prognostic indicators of survival in cancer patients: an overview of the literature from 1982 to 2008

Author(s) Year Sample HRQOL measure(s) Results*
Degner and Sloan [15] 1995 435 ambulatory heterogeneous sample of cancer patients (including 82 lung cancer) SDS The single measure of symptom distress was a significant predictor of survival in lung cancer.
Ringdal et al. [16] 1996 253 heterogeneous sample of cancer patients Physical functioning + psychosocial variables Physical functioning was prognostic factor of survival but psychosocial covariates were not.
Tamburini et al. [17] 1996 100 terminal cancer patients TIQ Confusion, cognitive status and global health status were independent prognostic of survival.
Coates et al. [18] 1997 735 advanced malignancies EORTC QLQ-C30 Global QOL and social functioning were significantly predictive of survival among solid tumor patients, metastatic site.
Dancey et al. [19] 1997 474 heterogeneous population of cancer patients EORTC QLQ-C30 Global QOL was significantly associated with survival.
Chang et al. [20] 1998 218 cancers patients (colon, breast, ovary or prostate) MSAS Physical symptom subscale score significantly predicted survival.
Lam et al. [21] 2007 170 advanced cancer HDS + ESAS + McGill QOL ESAS score was independent prognostic factor for survival.
  1. Abbreviations: EORTC QLQ-C30: European Organization for Research and Treatment of Cancer Quality of Life Core Questionnaire; ESAS: Edmonton Symptom Assessment System; HDS: Hamilton Depression Scale; McGill QOL: McGill quality of Life-single item; MSAS: Memorial Symptom Assessment Scale; QOL: quality of life; SDS: Symptom Distress Scale; TIQ: Therapy Impact Questionnaire.
  2. * All results obtained from multivariate analyses after controlling for one or more demographic and known biomedical prognostic factors.