Magnitude and Temporal Variations of Socioeconomic Inequalities in the Quality of Life After Early Breast Cancer: Results From the Multicentric French CANTO Cohort.
| Autor: | Sandoval JL; Unit of Population Epidemiology, Division of Primary Care, Department of Health and Community Medicine, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland.; Division of Oncology, Department of Oncology, Geneva University Hospitals, Geneva, Switzerland., Franzoi MA; Unit of Molecular Predictors and New Targets in Oncology, INSERM, Gustave Roussy Institute, University Paris Saclay, Villejuif, France., di Meglio A; Unit of Molecular Predictors and New Targets in Oncology, INSERM, Gustave Roussy Institute, University Paris Saclay, Villejuif, France.; Medical Oncology Department, Gustave Roussy Institute, Villejuif, France., Ferreira AR; Universidade Católica Portuguesa, Lisbon, Portugal., Viansone A; Medical Oncology Department, Gustave Roussy Institute, Villejuif, France., André F; Unit of Molecular Predictors and New Targets in Oncology, INSERM, Gustave Roussy Institute, University Paris Saclay, Villejuif, France.; Medical Oncology Department, Gustave Roussy Institute, Villejuif, France., Martin AL; UNICANCER, Direction des Data et des Partenariats, Le Kremlin-Bicêtre, France., Everhard S; UNICANCER, Direction des Data et des Partenariats, Le Kremlin-Bicêtre, France., Jouannaud C; Institut Godinot, Reims, France., Fournier M; Institut Bergonié, Bordeaux, France., Rouanet P; Institut régional du Cancer de Montpellier-Val d'Aurelle, Montpellier, France., Vanlemmens L; Centre Oscar Lambret, Lille, France., Dhaini-Merimeche A; Institut de Cancérologie de Lorraine-Alexis Vautrin, Vandoeuvre lès Nancy, France., Sauterey B; Institut de Cancérologie de L'ouest-Site Angers, Angers, France., Cottu P; Institut Curie, Paris, France., Levy C; Centre François Baclesse, Caen, France., Stringhini S; Unit of Population Epidemiology, Division of Primary Care, Department of Health and Community Medicine, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland., Guessous I; Unit of Population Epidemiology, Division of Primary Care, Department of Health and Community Medicine, Geneva University Hospitals and Faculty of Medicine, University of Geneva, Geneva, Switzerland., Vaz-Luis I; Unit of Molecular Predictors and New Targets in Oncology, INSERM, Gustave Roussy Institute, University Paris Saclay, Villejuif, France.; Interdisciplinary department for the Organization of Patient Pathways (DIOPP), Gustave Roussy Institute, Villejuif, France., Menvielle G; Unit of Molecular Predictors and New Targets in Oncology, INSERM, Gustave Roussy Institute, University Paris Saclay, Villejuif, France. |
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| Jazyk: | angličtina |
| Zdroj: | Journal of clinical oncology : official journal of the American Society of Clinical Oncology [J Clin Oncol] 2024 Aug 20; Vol. 42 (24), pp. 2908-2917. Date of Electronic Publication: 2024 Jun 18. |
| DOI: | 10.1200/JCO.23.02099 |
| Abstrakt: | Purpose: Socioeconomic status (SES) influences the survival outcomes of patients with early breast cancer (EBC). However, limited research investigates social inequalities in their quality of life (QoL). This study examines the socioeconomic inequalities in QoL after an EBC diagnosis and their time trends. Patients and Methods: We used data from the French prospective multicentric CANTO cohort (ClinicalTrials.gov identifier: NCT01993498), including women with EBC enrolled between 2012 and 2018. QoL was assessed using the European Organisation for Research and Treatment of Cancer QoL Core 30 questionnaire (QLQ-C30). summary score at diagnosis and 1 and 2 years postdiagnosis. We considered three indicators of SES separately: self-reported financial difficulties, household income, and educational level. We first analyzed the trajectories of the QLQ-C30 summary score by SES group. Then, social inequalities in QLQ-C30 summary score and their time trends were quantified using the regression-based slope index of inequality (SII), representing the absolute change in the outcome along socioeconomic gradient extremes. The analyses were adjusted for age at diagnosis, Charlson Comorbidity Index, disease stage, and type of local and systemic treatment. Results: Among the 5,915 included patients with data on QoL at diagnosis and at the 2-year follow-up, social inequalities in QLQ-C30 summary score at baseline were statistically significant for all SES indicators (SII Conclusion: The magnitude of preexisting inequalities in QoL increased over time after EBC diagnosis, emphasizing the importance of considering social determinants of health during comprehensive cancer care planning. |
| Databáze: | MEDLINE |
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