ArticleFrontiers in oncology2023
Identifying central symptom clusters and correlates in children with acute leukemia undergoing chemotherapy: a network analysis.
Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 21 citations in OpenAlex.
- Symptom interactions and candidate intervention targets in patients with esophageal cancer: Network analysis with computer-simulated interventions.Asia-Pacific journal of oncology nursing · 2026Article
- Sleep-related symptoms and cognitive fatigue are prominent in the multidimensional symptom network of children with malignant solid tumors: key targets and subgroup differences.BMC psychology · 2026Article
- Exploring Core Symptoms and Symptom Clusters Among Older Adults with Hypertension-Diabetes Comorbidity: A Network Analysis.Healthcare (Basel, Switzerland) · 2026Article
- Study on the network of postoperative symptoms and its influencing factors in esophageal cancer patients.Frontiers in oncology · 2026Article
- Symptom network analysis during radiotherapy in gastrointestinal cancers: A longitudinal study primarily involving esophageal cancer patients.Asia-Pacific journal of oncology nursing · 2025Article
- Symptom dynamics through multiphase treatment in acute myeloid leukemia: a cross-lagged panel network analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Article
- Article
- Estimating personal temporal symptom networks for childhood cancer survivors.Communications medicine · 2025Article
- Exploring core symptoms and symptom clusters among patients with neuromyelitis optica spectrum disorder: A network analysis.International journal of nursing sciences · 2025Article
- Symptoms, Symptom Profiles, and Healthcare Utilization in Patients with Hematologic Malignancies: A Retrospective Observational Cohort Study and Latent Class Analysis.Current oncology (Toronto, Ont.) · 2025Observational
- Identifying the Core Symptoms in Chinese Patients of Chronic Obstructive Pulmonary Disease: A Contemporaneous Symptom Network Analysis.International journal of chronic obstructive pulmonary disease · 2025Article
- Symptom clusters and network analysis of patients with intermediate and advanced liver cancer treated with targeted immunotherapy.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024Article
- Symptom cluster among cancer survivors from a nationally representative survey: a network analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024Article
- Identifying central symptom clusters and correlates in patients with lung cancer post-chemotherapy: A network analysis.Asia-Pacific journal of oncology nursing · 2024Article
- Chemotherapy-related symptoms in children with leukemia: application of latent profile analysis and network analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Previous studies have examined symptom clusters in children with acute leukemia, yet a knowledge gap persists regarding central symptom clusters and their influencing factors. By identifying these central clusters and associated factors, healthcare providers can enhance their understanding and effective management of symptoms. Our study seeks to address this gap by identifying symptom clusters, exploring central clusters, and investigating the demographic and health-related factors associated with these clusters in children with acute leukemia undergoing chemotherapy. Methods: A total of 586 children with acute leukemia from January 2021 to April 2023 were recruited from China. They were investigated using Memorial Symptom Assessment Scale 10-18 during chemotherapy. The principal component analysis was used to identify the symptom clusters. An association network was conducted to describe the relationships among symptoms and clusters. A multiple linear model was used to investigate the associated factors for the severity of overall symptoms and each symptom cluster. Results: Five clusters were identified, including oral and skin cluster, somatic cluster, self-image disorder cluster, gastrointestinal cluster and psychological cluster. Gastrointestinal cluster was the most central symptom cluster. Age, sex, clinical classification, number of having chemotherapy and education degree and marital status of the primary caregiver are associated with the severity of these five symptom clusters. Conclusion: Our study highlights the importance of evaluating symptom clusters in children with acute leukemia during chemotherapy. Specifically, addressing gastrointestinal symptoms is crucial for effective symptom management and overall care.
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