ArticleCancer medicine2016
Symptom clusters and survival in Portuguese patients with advanced cancer.
Article in Cancer medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 23 citations in OpenAlex.
- Electroacupuncture for Managing Chemotherapy-Induced Gastrointestinal Symptom Clusters in Patients With Breast Cancer: Study Protocol for a Randomized Controlled Trial.Health care science · 2026Article
- Symptom Clusters in Patients With Advanced Cancer: A Prospective Longitudinal Cohort Study to Examine Their Stability and Prognostic Significance.The oncologist · 2024Article
- Xerostomia in patients with advanced cancer: a scoping review of clinical features and complications.BMC palliative care · 2023Article
- Symptom profiles and related factors among patients with advanced cancer: A latent profile analysis.Asia-Pacific journal of oncology nursing · 2023Article
- Comparison of survival times of advanced cancer patients with palliative care at home and in hospital.PloS one · 2023Article
- Systematic symptom and problem assessment at admission to the palliative care ward - perspectives and prognostic impacts.BMC palliative care · 2020Article
- Patients in palliative care-Development of a predictive model for anxiety using routine data.PloS one · 2017Article
- Symptom clusters and survival in Portuguese patients with advanced cancer.Cancer medicine · 2016Article
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Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study aimed to identify clusters of symptoms, to determine the patient characteristics associated with identified, and determine their strength of association with survival in patients with advanced cancer (ACPs). Consecutively eligible ACPs not receiving cancer-specific treatment, and referred to a Tertiary Palliative Care Clinic, were enrolled in a prospective cohort study. At first consultation, patients rated 9 symptoms through the Edmonton Symptom Assessment System (0-10 scale) and 10 others using a Likert scale (1-5). Principal component analysis was used in an exploratory factor analysis to identify. Of 318 ACPs, 301 met eligibility criteria with a median (range) age of 69 (37-94) years. Three SCs were identified: neuro-psycho-metabolic (NPM) (tiredness, lack of appetite, lack of well-being, dyspnea, depression, and anxiety); gastrointestinal (nausea, vomiting, constipation, hiccups, and dry mouth) and sleep impairment (insomnia and sleep disturbance). Exploratory factor analysis accounted for 40% of variance of observed variables in all SCs. Shorter survival was observed for patients with the NPM cluster (58 vs. 23, P < 0.001), as well as for patients with two or more SCs (45 vs. 21, P = 0.005). In a multivariable model for survival at 30-days, age (HR: 0.98; 95% CI: 0.97-0.99; P = 0.008), hospitalization at inclusion (HR: 2.27; 95% CI: 1.47-3.51; P < 0.001), poorer performance status (HR: 1.90, 95% CI: 1.24-2.89; P = 0.003), and NPM (HR: 1.64; 95% CI: 1.17-2.31; P = 0.005), were associated with worse survival. Three clinically meaningful SC in patients with advanced cancer were identifiable. The NPM cluster and the presence of two or more SCs, had prognostic value in relation to survival.
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