ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2021
Identifying classes of the pain, fatigue, and depression symptom cluster in long-term prostate cancer survivors-results from the multi-regional Prostate Cancer Survivorship Study in Switzerland (PROCAS).
Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 23 citations in OpenAlex.
- Identification of Symptom Profiles in Prostate Cancer Survivors.Oncology nursing forum · 2025Trial
- Symptom cluster profiles and their impact on quality of life in Chinese patients with prostate cancer undergoing ADT: a cross-sectional study.Frontiers in oncology · 2026Article
- Using machine learning to predict patient-reported symptom clusters in prostate cancer patients receiving radiotherapy.Health and quality of life outcomes · 2025Article
- Evaluating the psychosocial effects of cancer on sleep quality and mental health in elderly populations.BMC psychiatry · 2025Article
- A Review on the Management of Symptoms in Patients with Incurable Cancer.Current oncology (Toronto, Ont.) · 2025Review
- Physical Activity in Patients with Advanced Cancer: Sociodemographic, Clinical, and Psychological Correlates.Brain sciences · 2024Article
- Identification of distinct symptom profiles in prostate cancer patients with cancer-related cognitive impairment undergoing androgen deprivation therapy: A latent class analysis.Asia-Pacific journal of oncology nursing · 2024Article
- The Mediating Role of Exercise in Depression and Fatigue in Patients with Advanced Cancer.Current oncology (Toronto, Ont.) · 2024Observational
- Supportive care of female hormones in brain health: what and how?Frontiers in pharmacology · 2024Review
- Antidepressants for the treatment of depression in people with cancer.The Cochrane database of systematic reviews · 2023Review
- Fatigue, Emotional Distress, and Illness Uncertainty in Patients with Metastatic Cancer: Results from the Prospective NEOETIC_SEOM Study.Current oncology (Toronto, Ont.) · 2022Article
- Health-related quality of life in long-term Caribbean prostate cancer survivors: comparisons with prostate cancer-free men.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2022Article
- Mixed methods research in complementary and alternative medicine: a scoping review.Journal of traditional Chinese medicine = Chung i tsa chih ying wen pan · 2022Article
- Influencing factors of depressive symptoms in patients with malignant tumour.The Journal of international medical research · 2021Article
- Depression, Anxiety, and Their Association to Health-Related Quality of Life in Men Commencing Prostate Cancer Treatment at Tertiary Hospitals in Cape Town, South Africa.Cancer control : journal of the Moffitt Cancer CenterObservational
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Authors and funding
17 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeAside from urological and sexual problems, long-term (≥5 years after initial diagnosis) prostate cancer (PC) survivors might suffer from pain, fatigue, and depression. These concurrent symptoms can form a cluster. In this study, we aimed to investigate classes of this symptom cluster in long-term PC survivors, to classify PC survivors accordingly, and to explore associations between classes of this cluster and health-related quality of life (HRQoL).
methodsSix hundred fifty-three stage T1-T3N0M0 survivors were identified from the Prostate Cancer Survivorship in Switzerland (PROCAS) study. Fatigue was assessed with the EORTC QLQ-FA12, depressive symptoms with the MHI-5, and pain with the EORTC QLQ-C30 questionnaire. Latent class analysis was used to derive cluster classes. Factors associated with the derived classes were determined using multinomial logistic regression analysis.
resultsThree classes were identified: class 1 (61.4%) - "low pain, low physical and emotional fatigue, moderate depressive symptoms"; class 2 (15.1%) - "low physical fatigue and pain, moderate emotional fatigue, high depressive symptoms"; class 3 (23.5%) - high scores for all symptoms. Survivors in classes 2 and 3 were more likely to be physically inactive, report a history of depression or some other specific comorbidity, be treated with radiation therapy, and have worse HRQoL outcomes compared to class 1.
conclusionThree distinct classes of the pain, fatigue, and depression cluster were identified, which are associated with treatment, comorbidities, lifestyle factors, and HRQoL outcomes. Improving classification of PC survivors according to severity of multiple symptoms could assist in developing interventions tailored to survivors' needs.
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