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Symptom Clusters in People With Stroke: A Scoping Review
Xintong Li1, Ke Zhang2, Baoping Song3
1School of Health Sciences, The University of Manchester, Manchester, UK.
Worldviews on Evidence-Based Nursing
|January 16, 2026
Summary
Stroke survivors often have multiple symptoms that cluster together. This review synthesizes common symptom clusters, assessment tools, and analytical techniques to improve stroke patient care and outcomes.
Area of Science:
- Neuroscience
- Rehabilitation Medicine
- Clinical Psychology
Background:
- Stroke survivors frequently experience co-occurring symptoms impacting quality of life and rehabilitation.
- Existing research often isolates symptoms, hindering comprehensive, cluster-based care strategies.
Purpose of the Study:
- To synthesize evidence on assessment tools for stroke symptom clusters.
- To identify analytical techniques used for stroke symptom cluster identification.
- To describe the composition of common symptom clusters in stroke patients.
Main Methods:
- A comprehensive scoping review of studies from 2001 to April 2025 across seven databases.
- Methodological quality assessed using JBI Critical Appraisal Checklists.
- Data extraction on study characteristics, measurement instruments, analytical techniques, and symptom cluster composition.
Main Results:
- Fourteen studies involving 6556 stroke patients were included.
- Seven common symptom clusters identified, with 'pain and fatigue' being most frequent.
- Significant heterogeneity observed in assessment tools, analytical methods, and cluster composition.
Conclusions:
- Methodological inconsistencies and diversity exist in stroke symptom cluster research.
- Need for standardized, culturally adaptable tools and longitudinal designs to understand dynamic symptom clusters.
- Findings offer insights for developing effective symptom management strategies to improve patient outcomes.

