Clustering of EORTC QLQ-C30 health-related quality of life scales across several cancer types: Validation study. (July 2022)

• Record Type: Journal Article
• Authors: Machingura, Abigirl; Taye, Mekdes; Musoro, Jammbe; Ringash, Jolie; Pe, Madeline; Coens, Corneel; Martinelli, Francesca; Tu, Dongsheng; Basch, Ethan; Brandberg, Yvonne; Grønvold, Mogens; Eggermont, Alexander; Cardoso, Fatima; Van Meerbeeck, Jan; van der Graaf, Winette T.A.; Taphoorn, Martin; Reijneveld, Jaap C.; Soffietti, Riccardo; Sloan, Jeff; Velikova, Galina; Flechtner, Henning; Bottomley, Andrew
• Is Part Of: European journal of cancer. Volume 170(2022)
• Page Start: 1
• Page End: 9
• Publication Date: 2022-07
• Subjects: Health-related quality of life (HRQoL) -- Randomized clinical trials (RCTs) -- Patient reported outcomes -- Cluster analysis -- European Organisation for Research and Treatment of Cancer Quality of Life Core Questionnaire (QLQ-C30); Cancer -- Periodicals; Neoplasms -- Periodicals; Cancer -- Périodiques; Cancer; Tumors; Electronic journals; Periodicals; Electronic journals; 616.994
• DOI: 10.1016/j.ejca.2022.03.039
• Languages: English
• ISSNs: 0959-8049

Abstract

Abstract: Introduction: The European Organisation for Research and Treatment of Cancer Quality of Life Core Questionnaire (EORTC QLQ-C30) measures 15 health-related quality of life (HRQoL) scales relevant to the disease and treatment of patients with cancer. A study by Martinelli (2011) demonstrated that these scales could be grouped into three main clusters: physical, psychological and gastrointestinal. This study aims to validate Martinelli's findings in an independent dataset and evaluate whether these clusters are consistent across cancer types and patient characteristics. Methods: Pre-defined criteria for successful validation were three main clusters should emerge with a minimum R-squared value of 0.51 using pooled baseline-data. A cluster analysis was performed on the 15 QLQ-C30 HRQoL-scales in the overall dataset, as well as by cancer type and selected patient characteristics to examine the robustness of the results. Results: The dataset consisted of 20, 066 patients pooled across 17 cancer types. Overall, three main clusters were identified (R 2 = 0.61); physical-cluster included role-functioning, physical-functioning, social-functioning, fatigue, pain, and global-health status; psychological-cluster included emotional-functioning, cognitive-functioning, and insomnia; gastro-intestinal-cluster included nausea/vomiting and appetite loss. The results were consistent across different levels of disease severity, socio-demographic and clinical characteristics with minor variations by cancer type. Global-health status was found to be strongly linked to the scales included in the physical-functioning-related cluster. Conclusion: This study successfully validated prior findings by Martinelli (2011): the QLQ-C30 scales are interrelated and can be grouped into three main clusters. Knowing how these multidimensional HRQoL scales are related to each other can help clinicians and patients with cancer in managing symptom burden, guide policymakers in defining social-support plans and inform selection of HRQoL scales in future clinical trials. Highlights: Our study validated the exploratory findings of Martinelli et al. on clustering EORTC QLQ-C30 scales. Three main clusters were identified using data from 20, 066 patients with cancer. The three clusters included physical, psychological and gastro-intestinal related clusters. Clusters were consistent across most socio-demographic and clinical characteristics. The results may aid symptom burden management and inform clinical trial design.