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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.