Network Analysis of Multidimensional Symptoms and Inflammatory Biomarkers in Chinese Patients with Glioma
Network analysis provides a novel method for investigating the relationships between multidimensional symptom experiences and inflammatory biomarkers. Additionally, it allows for identifying different core symptoms at various stages of treatment. Clinicians should effectively address and manage symptoms by focusing on special core symptoms and their interconnections within the network.
Authors
- Xiaohan Shi (ORCID: https://orcid.org/0000-0001-9610-1540)
- Alphonce M. K. Nyalali (ORCID: https://orcid.org/0000-0001-7921-1107)
- Jing Li (ORCID: https://orcid.org/0009-0003-2507-1606)
- Huayu Li (ORCID: https://orcid.org/0009-0009-7855-3522)
- Yuanhao Tong (ORCID: https://orcid.org/0000-0001-8842-1974)
- Feng Li
Institutions
- Shandong University (CN)
- Mbeya University of Science and Technology (TZ)
- University of Jinan (CN)
- Shandong Management University (CN)
- Shanghai Sixth People's Hospital (CN)
- Affiliated Hangzhou First People's Hospital, Westlake University, School of Medicine (CN)
- Shandong First Medical University (CN)
Publication Details
- Journal
- Journal of Inflammation Research
- Published
- 2025-05-01
- DOI
- https://doi.org/10.2147/jir.s517105
- Citations
- 3
- Primary Topic
- Mental Health Research Topics
- Type
- article
- Field-Weighted Citation Impact
- 6.35
Funders
- Key Technology Research and Development Program of Shandong