ArticleInternational journal of nursing sciences2024
Symptom networks analysis among people with Meniere's disease: Application for nursing care.
Article in International journal of nursing sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Personalizing post-stroke symptom management: integrating network analysis and in silico intervention to identify subgroup-specific targets.BMC neurology · 2026Article
- Network analysis of core symptom changes in Chinese patients undergoing radical prostatectomy for prostate cancer: a longitudinal study.Frontiers in oncology · 2026Article
- Risk factors affecting drop attack in patients with Meniere's disease.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2026Article
- Network Analysis of Contemporaneous Symptoms and Identification of Core Symptoms in Patients with Lumbar Disc Herniation.Journal of pain research · 2025Article
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Authors and funding
5 authors.
Funding
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Abstract
Objectives: This study aimed to explore and visualize the relationships among multiple symptoms in patients with Meniere's disease (MD) and aid clinical nurses in the design of accurate, individualized interventions. Methods: This study included 790 patients with MD at the Eye and ENT Hospital of Fudan University from October 2014 to December 2021. A self-designed symptom checklist was used to assess 15 MD-related symptoms and construct contemporaneous networks with all 15 symptoms in R software. Qgraph package and Fruchterman-Reingold layout were used for network visualization. Bootstrapping methods were performed to assess network accuracy and stability, and three centrality indices were adopted to describe relationships among symptoms. Results: Symptom networks showed good accuracy and stability. "Anxiety and nervousness"(98.2%), "aural fullness"(84.4%) and "tinnitus"(82.7%) were the common symptom in MD patients, while "tinnitus", "aural fullness" and "decline in word recognition", were more serious. MD patients with longer disease duration had higher prevalence and severity for all symptoms ( Conclusions: The symptom networks of MD patients with varying disease durations were revealed. Clinicians and nurses must provide precision interventions tailored to modifying symptom severity and centrality. Nursing interventions should focus on word recognition issues and associated discomfort in MD patients with multiple symptoms.
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