ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2023
Psychoneurological symptoms and inflammatory markers in patients with glioma in China: a network analysis.
Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it, 6 citations in OpenAlex.
- Investigating the Complexity of Multidimensional Symptom Experiences in Patients With Cancer: Systematic Review of the Network Analysis Approach.JMIR cancer · 2025Pooled it
- Heterogeneous trajectory of cancer-related fatigue and its associated factors in patients with glioma during the perioperative period: a prospective longitudinal study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Reconsidering the interpretation of network analysis in symptom research.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Network Analysis of Multidimensional Symptoms and Inflammatory Biomarkers in Chinese Patients with Glioma.Journal of inflammation research · 2025Article
- Psychoneurological symptom clusters in patients with first stroke and relationship with inflammatory markers: a latent profile analysis.Frontiers in psychology · 2025Article
- Pepsinogen II and a no-pickled food diet are risk factors for female patients with anxiety: a cross-sectional study.American journal of translational research · 2024Article
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Authors and funding
5 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeAnxiety, depression, sleep disorder, fatigue, and pain develop as common psychoneurological symptoms in patients with glioma, and their occurrence and development are potentially related to inflammatory factors. However, this theory has not been proven within the context of glioma. This study aimed to estimate interconnections among psychoneurological symptoms and inflammatory biomarkers by a network analysis. PATIENTS AND
methodsWe selected 203 patients with stage I-IV glioma from a tertiary hospital in China using convenient sampling method. Patients completed the self-made questionnaires, Hamilton Anxiety Scale-14 (HAMA-14), Hamilton Depression Scale-24 (HAMD-24), Pittsburgh Sleep Quality Index (PSQI), Multidimensional Fatigue Inventory-20 (MFI-20), and pain Numerical Rating Scale (NRS). The plasma inflammatory cytokines were examined. Partial correlation network analysis was performed to illustrate interactions of symptoms and inflammatory biomarkers.
resultsAmong the 203 included patients, all psychoneurological symptoms, except for depression and pain, exhibited significant connections with each other. Depression, anxiety, fatigue, interleukin-6 (IL-6), and tumor necrosis factor-alpha (TNF-α) with higher strength centrality indices were identified as the most central node within the symptom-biomarker network.
conclusionsDepression, anxiety, fatigue, IL-6, and TNF-α play a significant role in the symptom-biomarker network in patients with glioma. Medical staff should strengthen the dynamic evaluation of the involved symptoms and inflammatory cytokines and take effective measures to alleviate the burden of symptoms and improve the quality of life of patients.
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