ArticleBMJ supportive & palliative care2024
Symptom clusters in oncology outpatients: stability and consistency across a cycle of chemotherapy.
Article in BMJ supportive & palliative care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Symptoms experienced during the first 4 months of chemotherapy administration: a longitudinal cohort study in an Australian cancer treatment unit.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Symptom Clusters and Symptom Burden in Cancer Survivors.Cancer medicine · 2026Article
- Symptom Clusters and Quality of Life in Cervical Cancer Patients During the Perioperative Period: A Longitudinal Study.Patient preference and adherence · 2026Article
- Network analysis of core symptom changes in hepatocellular carcinoma survivors after transarterial chemoembolization: A longitudinal study.Frontiers in oncology · 2026Article
- A longitudinal study of early postoperative symptom cluster trajectories in patients with gynecologic malignancies.BMC women's health · 2025Article
- State of the "Art" in Precision Health Symptom Science Research.Seminars in oncology nursing · 2025Review
- Trajectories of Symptom Clusters and Their Predictive Factors in Patients With Colorectal Cancer 3 Months After Surgery: A Longitudinal Study.Cancer medicine · 2025Observational
- Impact of Multimorbidity on Symptom Burden and Symptom Clusters in Patients Receiving Chemotherapy.Cancer medicine · 2025Article
- PRONA: an R-package for Patient Reported Outcomes Network Analysis.Bioinformatics (Oxford, England) · 2024Article
- Symptom Network Analysis and Unsupervised Clustering of Oncology Patients Identifies Drivers of Symptom Burden and Patient Subgroups With Distinct Symptom Patterns.Cancer medicine · 2024Article
- Comparing symptom clusters in cancer survivors by cancer diagnosis: A latent class profile analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024Article
- Stability and consistency of symptom clusters in younger versus older patients receiving chemotherapy.BMC geriatrics · 2024Article
- A multiphase study protocol of identifying, and predicting cancer-related symptom clusters: applying a mixed-method design and machine learning algorithms.Frontiers in digital health · 2024Article
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Authors and funding
10 authors.
Funding
Abstract
objectivesImproved understanding of the stability and consistency of symptom clusters across time, symptom dimensions and cancer diagnoses will lead to refinements in symptom assessments and management, and provide direction for mechanistic studies. Study purposes were to describe the occurrence, severity and distress of 38 symptoms; evaluate the stability and consistency of symptom clusters across a cycle of chemotherapy, three symptom dimensions and four distinct cancer types; and identify common and distinct symptom clusters.
methodsOncology outpatients (n=1329) completed the Memorial Symptom Assessment Scale prior to their next cycle of chemotherapy (T1), 1 week after chemotherapy (T2) and 2 weeks after chemotherapy (T3). Symptom clusters were identified using exploratory factor analysis using unweighted least squares. GEOMIN rotated factor loadings with absolute values ≥0.40 were considered meaningful. Clusters were stable if they were identified across each time point and/or dimension. Clusters were consistent if the same two or three symptoms with the highest factor loadings were identified across each time point and/or dimension.
resultsPatients reported 13.9 (±7.2) symptoms at T1, 14.0 (±7.0) at T2 and 12.2 (±6.8) at T3. Psychological, weight gain, gastrointestinal and respiratory clusters were stable across time and dimensions. Only the psychological, weight gain and respiratory clusters were consistent across time and dimensions.
conclusionGiven the stability of the psychological, weight gain and gastrointestinal clusters across cancer diagnoses, symptoms within these clusters need to be routinely assessed. However, respiratory and hormonal clusters are unique to specific cancer types and the symptoms within these clusters are variable.
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