ArticleJournal of patient-reported outcomes2024
General population normative values for the EORTC QLQ-C30 by age, sex, and health condition for the French general population.
Article in Journal of patient-reported outcomes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Potential beneficial effects of PD-1/PD-L1 blockade in Alzheimer's disease: a systematic review and meta-analysis of preclinical and clinical studies.Molecular psychiatry · 2026Pooled it
- Health-related quality of life after second-line axi-cel in transplant-ineligible patients with large B-cell lymphoma.Blood advances · 2026Trial
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- Longitudinal Symptom Recovery After Pancreatectomy: A Prospective Patient-Reported Outcomes Study using MDASI.Annals of surgical oncology · 2026Article
- Age and sex as risk factors for health-related quality of life outcomes in patients with glioma: a CODAGLIO 2.0 analysis.The oncologist · 2026Article
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- The current use and application of thresholds for clinical importance of the EORTC QLQ-C30, the EORTC CAT core and the EORTC QLQ-C15-PAL- a systematic scoping review.Health and quality of life outcomes · 2025Article
- Factors influencing quality of life in patients with a colostomy due to rectal cancer: A retrospective cohort study with multivariate and subgroup analyses.Oncology letters · 2025Article
- Cancer-Specificity of Sex Differences and Sex-Specific Impact of Sociodemographic Characteristics in Cancer Patients' Health-Related Quality of Life: A Cross-Sectional Study.Psycho-oncology · 2025Article
- Symptom clusters and impact on quality of life in lung cancer patients undergoing chemotherapy.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2024Article
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Abstract
backgroundGeneral population normative values for the widely used health-related quality of life (HRQoL) measure EORTC QLQ-C30 support the interpretation of trial results and HRQoL of patients in clinical practice. Here, we provide sex-, age- and health condition-specific normative values for the EORTC QLQ-C30 in the French general population.
methodsFrench general population data was collected in an international EORTC project. Online panels with quota samples were used to recruit sex and age groups. Number and type of comorbidities were assessed. Descriptive statistics were used to calculate general population values for each QLQ-C30 scale, separately for sex, age, and presence of one- and more chronic health conditions. A multivariate linear regression model has been developed to allow estimating the effect of sex, age, and the presence for one- and more chronic health conditions on EORTC QLQ-C30 scores. Data was weighted according to United Nation statistics adjusting for the proportion of sex and age groups.
resultsIn total, 1001 French respondents were included in our analyses. The weighted mean age was 47.9 years, 514 (51.3%) participants were women, and 497 (52.2%) participants reported at least one health condition. Men reported statistically significant better scores for Emotional Functioning (+9.6 points, p = 0.006) and Fatigue (-7.8 point; p = 0.04); women reported better profiles for Role Functioning (+8.7 points; p = 0.008) and Financial Difficulty (-7.8 points, p = 0.011). According to the regression model, the sex effect was statistically significant in eight scales; the effect of increasing age had a statistically significant effect on seven of the 15 EORTC QLQ-C30 scales. The sex- and age effect varied in its direction across the various scales. The presence of health conditions showed a strong negative effect on all scales.
conclusionThis is the first publication of detailed French normative values for the EORTC QLQ-C30. It aims to support the interpretation of HRQoL profiles in French cancer populations. The strong impact of health conditions on QLQ-C30 scores highlights the importance of considering the impact of comorbidities in cancer patients when interpreting HRQoL data.
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