ArticleScientific reports2025
Differences in symptom clusters based on multidimensional symptom experience and symptom burden in stroke patients.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Heterogeneity in symptom burden and supportive care needs among older adults with ischemic stroke: a cross-sectional study.BMC geriatrics · 2026Article
- Personalizing post-stroke symptom management: integrating network analysis and in silico intervention to identify subgroup-specific targets.BMC neurology · 2026Article
- Latent profile analysis identifying symptom clusters of fatigue, sleep disturbance, pain, and anxiety and their associations with health-related quality of life and self-efficacy in patients undergoing peritoneal dialysis: a cross-sectional study.Health and quality of life outcomes · 2026Article
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Authors and funding
9 authors.
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Abstract
In the study of stroke symptoms, a significant unresolved issue remains: What are the similarities and differences in the use of three symptom dimensions-occurrence, severity, and distress-and symptom burden to identify symptom clusters, and which level is recommended for constructing symptom clusters? This study aimed to identify the number and types of symptom clusters in stroke patients on the basis of these dimensions and to determine the most suitable dimension for extracting symptom clusters. Data were collected from 656 stroke patients via a convenience sampling method at a tertiary-level hospital in Wuhan, China, between August 2023 and March 2024. Exploratory factor analysis was conducted to extract symptom clusters on the basis of the three dimensions of the symptom experience scale and symptom burden. Four similar symptom clusters were identified: the mood disturbance symptom cluster, the physical symptom cluster, the cognitive dysfunction symptom cluster, and the slurred speech and choking cough symptom cluster. The symptom of "fatigue" within the physical symptom cluster was not identified only in the dimension of distress (with a percentage agreement of 83.3%), whereas the symptom composition of other clusters remained consistent across all three symptom dimensions (with a percentage agreement of 100%). Moreover, all four symptom clusters exhibited high consistency in terms of both occurrence and symptom burden, regardless of whether the symptom with the highest factor loading or the overall symptom composition was considered. The use of symptom occurrence and symptom burden is recommended for identifying symptom clusters in stroke patients. Subsequently, trajectory studies of symptom clusters and symptom network analyses should be conducted on the basis of these two dimensions to establish a solid theoretical foundation for future clinical interventions and related scientific research.
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