Quality of life scores: an independent prognostic variable in a general population of cancer patients receiving chemotherapy. The National Cancer Institute of Canada Clinical Trials Group (original) (raw)
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Cancer, 2018
BACKGROUND: The aims of this study were to externally validate an established association between baseline health-related quality of life (HRQOL) scores and survival and to assess the added prognostic value of HRQOL with respect to demographic and clinical indicators. METHODS: Pooled data were analyzed from 17 randomized controlled trials opened by the Canadian Cancer Trials Group between 1991 and 2004; they included survival and baseline HRQOL data from 3606 patients with 8 different cancer sites. The models included sex, age (60 vs >60 years), World Health Organization performance status (0 or 1 vs 2-4), distant metastases (no vs yes), and 15 European Organization for Research and Treatment of Cancer (EORTC) Core Quality-of-Life Questionnaire (QLQ-C30) scales. Analyses were conducted with multivariate Cox proportional hazards models and were stratified by cancer site. Harrell's discrimination C-index was used to calculate the predictive accuracy of the model when HRQOL parameters were added to clinical and demographic variables. The added value of adding HRQOL scales to clinical and demographic variables was illustrated with Kaplan-Meier curves. RESULTS: In the stratified, multivariate model, HRQOL parameters-global health status (hazard ratio [HR], 0.97; 95% confidence interval [CI], 0.95-1.00; P <. 0001), dyspnea (HR, 1.04; 95% CI, 1.02-1.06; P <. 0002), and appetite loss (HR, 1.06; 95% CI, 1.04-1.08; P <. 0001)-were independent prognostic factors in addition to the demographic and clinical variables (all P values < .05). Adding these HRQOL variables to the clinical variables resulted in an added relative prognostic value for survival of 5%. CONCLUSIONS: These results confirm previous findings showing that baseline HRQOL scores on the EORTC QLQ-C30 provide prognostic information in addition to information from clinical measures. However, the impact of specific domains may differ across studies. Cancer V
British Journal of Cancer, 2014
Little is known about whether changes in health-related quality of life (HRQoL) scores from baseline during treatment also predict survival, which we aim to investigate in this study. We analysed data from 391 advanced non-small-cell lung cancer (NSCLC) patients enrolled in the EORTC 08975 study, which compared palliative chemotherapy regimens. HRQoL was assessed at baseline and after each chemotherapy cycle using the EORTC QLQ-C30 and QLQ-LC13. The prognostic significance of HRQoL scores at baseline and their changes over time was assessed with Cox regression, after adjusting for clinical and socio-demographic variables. After controlling for covariates, every 10-point increase in baseline pain and dysphagia was associated with 11% and 12% increased risk of death with hazard ratios (HRs) of 1.11 and 1.12, respectively. Every 10-point improvement of physical function at baseline (HR=0.93) was associated with 7% lower risk of death. Every 10-point increase in pain (HR=1.08) was associated with 8% increased risk of death at cycle 1. Every 10-point increase in social function (HR=0.91) at cycle 2 was associated with 9% lower risk of death. Our findings suggest that changes in HRQoL scores from baseline during treatment, as measured on subscales of the EORTC QLQ-C30 and QLQ-LC13, are significant prognostic factors for survival.
Palliative Medicine, 2006
Palliative care Questionnaires Health status Self-assessment Treatment outcome A B S T R A C T This study aimed at developing a shortened version of the EORTC QLQ-C30, one of the most widely used health-related quality of life questionnaires in oncology, for palliative care research. The study included interviews with 41 patients and 66 health care professionals in palliative care to determine the appropriateness, relevance and importance of the various domains of the QLQ-C30. Item response theory methods were used to shorten scales.
Quality of Life Research, 1994
ease. Mean scores for patients with lung cancer were between the other two groups, in keeping with the mixture of early and advanced stage disease In these patients. There was a strong correlation between ECOG performance status scores and several domains of the QLQC30; these were ail in the expected directions. The results of this study confirm those in earlier studies on patients with lung cancer, and provide new information on patients with breast and ovarian cancer. In addition, the QLQC30 is responsive to the effects of chemotherapy and of metastatic disease.
npj Breast Cancer, 2020
The majority of women diagnosed with breast cancer will experience some form of drug-related toxicity and subsequent impairments in Health-related Quality of Life (HRQoL). Despite this, HRQoL is assessed inconsistently and there is no validated method to integrate HRQoL data into the assessment of therapeutic agents. This proof of concept study utilizes data from the neoadjuvant I-SPY 2 clinical trial to describe the development of the Quality of Life Index (QoLI) measure. The QoLI represents a single composite score that incorporates validated longitudinal measures of clinical efficacy and QoL and one that permits a more comprehensive, direct comparison of individual therapeutic agents. Preliminary data suggest the QoLI is able to distinguish between agents based on their efficacy and toxicity; with further validation, the QoLI has the potential to provide more patient-centered evaluations in clinical trials and help guide treatment decision making in breast cancer and other oncolo...
The clinical significance of quality of life assessments in oncology: a summary for clinicians
Supportive Care in Cancer, 2006
Background: A series of six manuscripts with an introduction appeared in the Mayo Clinic Proceedings, based upon the collective effort of 30 individuals with an interest and expertise in assessing the clinical significance of quality of life (QOL) assessments. The series of manuscripts described the state of the science of QOL assessments in oncology clinical research and practice and included extensive literature and theoretical justification for the continued inclusion of QOL in oncology clinical research and practice. Objectives: The purpose of this paper is to produce a summary of these articles and to supplement these works with additional information that was gleaned from subsequent meetings and discussions of this material. The primary aim of this paper is to present a cogent and concise description for clinicians to facilitate the incorporation of QOL assessments into oncology clinical research and practice. The theoretical discussion is supplemented with an example of how the various ideas can be operationalized in an oncology clinical trial.
Health related quality of life outcomes in cancer clinical trials
European Journal of Cancer, 2005
Over the last decade, health related quality of life (HRQOL) investigations have become an increasingly important part of many cancer clinical trial research programs. This paper presents a review of all HRQOL studies published by the European Organisation for Research and Treatment of Cancer (EORTC), one of the largest clinical trials organisations in Europe. The findings highlight 24 clinical trials that have been published to date, enrolling over 9000 patients. HRQOL is fully integrated into EORTC phase III trials. In many trials, HRQOL provides a valuable source of additional information useful to both clinician and patient when making treatment decisions. Furthermore, several trials have found that the combined use of clinical information along with HRQOL data has led to the development of new standards of care in several different cancer sites. With more than 40 ongoing HRQOL studies in the EORTC, we expect HRQOL to play an even greater role over the coming decade in helping establish the optimal treatment and care approach for cancer patients.
The Oncologist, 2019
Background Health-related quality of life (HRQoL) has been shown to be a prognostic factor for cancer survival in randomized clinical trials and observational “real-world” cohort studies; however, it remains unclear which HRQoL domains are the best prognosticators. The primary aims of this population-based, observational study were to (a) investigate the association between the novel European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire-Core30 (QLQ-C30) summary score and all-cause mortality, adjusting for the more traditional sociodemographic and clinical prognostic factors; and (b) compare the prognostic value of the QLQ-C30 summary score with the global quality of life (QoL) and physical functioning scales of the QLQ-C30. Materials and Methods Between 2008 and 2015, patients with cancer (12 tumor types) were invited to participate in PROFILES disease-specific registry studies (response rate, 69%). In this secondary analysis of 6,895 patients, mul...
Quality of life measurement in oncology—a matter of the assessment instrument?
European Journal of Cancer, 2001
Two widely used quality of life questionnaires European Organization for Research and Treatment of Cancer Core (EORTC QLQ-C30), Functional Assessment of Cancer Therapy-General (FACT-G) were examined for their comparability using four different groups of cancer patients. During a follow-up investigation, 418 cancer patients (Hodgkin's disease, breast cancer, bone marrow transplantation (BMT), chronic lymphatic leukaemia (CLL) completed both the EORTC QLC-C30 and the FACT-G during the same session. For an illustration of the differences between the two Quality of Life (QoL) instruments, pairs of diagnostic groups were formed and their QoL scores using the EORTC QLQ-C30 and FACT-G compared. The corresponding subscales of the EORTC-QLC-C30 and the FACT-G show only low to moderate intercorrelations across all four groups of cancer patients studied. In particular, a comparison of pairs, namely Hodgkin's disease versus breast cancer patients and BMT versus CLL patients, highlights substantial differences in the corresponding subscales of the EORTC QLQ-C30 and the FACT-G. The results of the QoL investigations should not be interpreted independently of the instrument used and an interpretation of results must be based on the contents of items of the respective questionnaires.