{Reference Type}: Journal Article
{Title}: Symptom network and quality of life of breast cancer patients receiving multimodal cancer treatment: Cross-sectional study.
{Author}: Kim YB;Lee IJ;Byun HK;Choi YY;Hong B;Lee J;
{Journal}: Eur J Oncol Nurs
{Volume}: 71
{Issue}: 0
{Year}: 2024 Aug 3
{Factor}: 2.588
{DOI}: 10.1016/j.ejon.2024.102661
{Abstract}: OBJECTIVE: Breast cancer patients experience symptoms and side effects from multimodal treatments, which often include menopausal symptoms resulting from cytotoxic chemotherapy or estrogen suppression therapy. This study aimed to explore the symptom network and clusters and its relationship to quality of life (QoL) in breast cancer patients who receive multimodal cancer treatment and experience treatment-related menopausal symptoms.
METHODS: A correlational study was conducted. Breast cancer patients receiving multimodal cancer treatment and experiencing treatment-related menopausal symptoms were included while they were receiving radiation therapy (N = 250). Symptoms, functions and QoL were assessed using the EORTC QLQ-C30 and BR45. Network analysis, principal component analysis, exploratory factor analysis, and multiple linear regression analysis were conducted.
RESULTS: Fatigue was the most central symptom in the symptom-only network as well as in the network consisting of symptoms and QoL. Fatigue, systemic therapy side effects, appetite loss, and cognitive symptoms demonstrated significant associations with QoL. The cancer and treatment related symptom cluster consisted of fatigue, cognitive symptoms, emotional symptoms and systemic therapy side effects. Breast cancer therapy-specific symptoms, such as arm symptoms, skin mucosis symptoms, and breast symptoms, formed a cluster with pain.
CONCLUSIONS: Fatigue was the most central symptom in breast cancer patients receiving multimodal cancer treatment and experiencing menopausal symptoms. Evaluation of fatigue and providing interventions to manage fatigue would contribute to improvement of QoL of breast cancer patients receiving multimodal cancer treatments. Future network analysis and symptom cluster studies should specify the population of interest and the treatment phase using comprehensive symptom evaluation tools.