ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2024
Chemotherapy-related symptoms in children with leukemia: application of latent profile analysis and network analysis.
Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- 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
- Self-efficacy in nutritional care for older adults among hospital-based nurses: a latent profile and network simulation analysis.BMC nursing · 2026Article
- Internet addiction among nursing students: application of latent profile analysis and network analysis.Frontiers in psychiatry · 2026Article
- Heterogeneity in benefit finding among breast cancer patients: a latent profile analysis and influencing factors.Frontiers in oncology · 2026Article
- Symptoms associated with concurrent chemoradiotherapy in patients with cervical cancer: Application of latent profile analysis and network analysis.Asia-Pacific journal of oncology nursing · 2025Article
- Latent profiles of problem-solving skills and their association with depressive symptoms in parents of children with cancer: A cross-sectional study.Asia-Pacific journal of oncology nursing · 2025Article
- A latent profile and network analysis of social isolation in colorectal cancer patients undergoing chemotherapy.Asia-Pacific journal of oncology nursing · 2025Article
- Identifying psychosocial distress phenotypes in postoperative patients with breast cancer: A latent profile analysis.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
- Core symptoms in patients with colorectal cancer receiving chemotherapy: a network analysis.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Article
- Latent profile analysis of fear of progression in Chinese hematologic malignancy survivors.Scientific reports · 2025Article
- Article
- Symptom cluster study undergoing chemotherapy in breast cancer patients: Latent class analysis and contemporaneous network analysis.Asia-Pacific journal of oncology nursing · 2024Article
- Synergising latent profile analysis and network analysis to elucidate the relationships among emotion dysregulation, post-traumatic stress disorder, dissociation, psychosis, and affective symptoms in individuals with trauma and severe mental illness.International journal of clinical and health psychology : IJCHPArticle
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Authors and funding
6 authors.
Funding
Abstract
purposeChildren with leukemia may experience a range of chemotherapy-related symptoms. Identifying subgroups and their distinct characteristics of symptoms may improve symptom management. We aimed to identify subgroups and their distinct characteristics of chemotherapy-related symptoms in children with leukemia.
methodsA cross-sectional survey was conducted among 500 children with leukemia, who completed questionnaires that assessed their demographic and clinical characteristics, as well as the Memorial Symptom Assessment Scale. Latent profile analysis was conducted to identify subgroups of symptoms. Additionally, multiple regression analysis and network analysis were utilized to reveal the characteristics of each subgroup.
resultsFour subgroups were identified: "Profile 1: low symptom burden subgroup" (26.2%), "Profile 2: moderate symptom burden subgroup in transitional period" (14.8%), "Profile 3: moderate psychological symptom burden subgroup" (35.6%), and "Profile 4: high symptom burden subgroup" (23.4%). Multiple logistic regression analysis indicated that lower primary caregiver's education level, lower family monthly income, self-paid medical expenses, induction remission period, and consolidation enhancement period were associated with more severe symptoms of subgroups. Network analysis further revealed that nausea was the core symptom in Profiles 1 and 2, while the core symptom in Profile 3 was "I don't look like myself." Additionally, worrying was the core symptom in Profile 4.
conclusionThere exists heterogeneity in chemotherapy-related symptoms. Four subgroups and their corresponding characteristics of children with varying symptom severity were identified. Identifying these subgroups will facilitate personalized care, maximize intervention effectiveness, and alleviate symptom burden.
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