ArticleJournal of cancer survivorship : research and practice2024
Symptom networks in glioma patients: understanding the multidimensionality of symptoms and quality of life.
Article in Journal of cancer survivorship : research and practice, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.
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Who cites it
23 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 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
- Symptom burden in young adult brain tumor survivors: Key intervention targets based on patient-reported outcome network analyses.Neuro-oncology practice · 2026Article
- 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
- Symptom network and latent profile analysis in patients after glioma surgery: a cross-sectional study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- Bibliometric mapping of glioma classification research through main path, key route, and K-core analyses.Oncotarget · 2026Review
- Network analysis of longitudinal electronic health records using linear mixed models.BioData mining · 2026Article
- Multiscale network perspectives on glioma: from tumour biology to symptoms, survival and treatment.Nature reviews. Neurology · 2026Review
- Self-reported physical functioning and physical fitness in glioma patients.Neuro-oncology practice · 2026Article
- The Dual Impact of Glioma Resection on Survival and Health-Related Quality of Life: Resect More, Live Better.Brain tumor research and treatment · 2026Article
- Longitudinal symptom network patterns in cancer patients during the end of life.Scientific reports · 2025Article
- Network analysis used to investigate the interplay among somatic and psychological symptoms in patients with cancer and cancer survivors: a scoping review.Journal of cancer survivorship : research and practice · 2025Article
- Socioeconomic influences on survival outcome in idh-wildtype glioma patients: examining the role of age, education, and lifestyle factors.Acta neurochirurgica · 2025Article
- Symptom and functional networks of patients with cancer in different latent risk subgroups based on patient-reported outcomes.BMC cancer · 2025Article
- Mental fatigue and cognitive functioning in patients presenting with non-enhancing gliomas.Acta neurochirurgica · 2025Article
- Article
- Network Analysis of Multidimensional Symptoms and Inflammatory Biomarkers in Chinese Patients with Glioma.Journal of inflammation research · 2025Article
- Understanding the complex network of objectively assessed cognition and self-reported psychological symptoms in people with multiple sclerosis.Multiple sclerosis (Houndmills, Basingstoke, England) · 2025Article
- Symptom Network Analysis and Unsupervised Clustering of Oncology Patients Identifies Drivers of Symptom Burden and Patient Subgroups With Distinct Symptom Patterns.Cancer medicine · 2024Article
- Understanding the association between fatigue and neurocognitive functioning in patients with glioma: A cross-sectional multinational study.Neuro-oncology practice · 2024Article
- Global health status and fatigue score in isocitrate dehydrogenase-mutant diffuse glioma grades 2 and 3: A longitudinal population-based study from surgery to 12-month follow-up.Neuro-oncology practice · 2024Article
Corrections and comments
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Authors and funding
9 authors at 5 institutions in 1 country.
Funding
Abstract
purposeTo comprehend the complex relationship between symptoms and health-related quality of life (HRQoL) in patients with diffuse glioma, we applied symptom network analysis to identify patterns of associations between depression, cognition, brain tumor-related symptoms, and HRQoL. Additionally, we aimed to compare global strength between symptom networks to understand if symptoms are more tightly connected in different subgroups of patients.
methodsWe included 256 patients and stratified the sample based on disease status (preoperative vs. postoperative), tumor grade (grade II vs. III/IV), and fatigue status (non-fatigued vs. fatigued). For each subgroup of patients, we constructed a symptom network. In these six networks, each node represented a validated subscale of a questionnaire and an edge represented a partial correlation between two nodes. We statistically compared global strength between networks.
resultsAcross the six networks, nodes were highly correlated: fatigue severity, depression, and social functioning in particular. We found no differences in GS between the networks based on disease characteristics. However, global strength was lower in the non-fatigued network compared to the fatigued network (5.51 vs. 7.49, p < 0.001).
conclusionsSymptoms and HRQoL are highly interrelated in patients with glioma. Interestingly, nodes in the network of fatigued patients were more tightly connected compared to non-fatigued patients. IMPLICATIONS FOR CANCER SURVIVORS: We introduce symptom networks as a method to understand the multidimensionality of symptoms in glioma. We find a clear association between multiple symptoms and HRQoL, which underlines the need for integrative symptom management targeting fatigue in particular.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.