ArticleAsia-Pacific journal of oncology nursing2024
Chemotherapy-related symptom networks in distinct subgroups of Chinese patients with gastric cancer.
Article in Asia-Pacific journal of oncology nursing, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed, 8 citations in OpenAlex.
- Application of symptom network analysis among patients with gastric cancer: A scoping review.PloS one · 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
- Identifying the heterogeneity of self-advocacy in Chinese patients with breast cancer using latent profile analysis and symptom networks.Asia-Pacific journal of oncology nursing · 2025Article
- Symptom network analysis during radiotherapy in gastrointestinal cancers: A longitudinal study primarily involving esophageal cancer patients.Asia-Pacific journal of oncology nursing · 2025Article
- Network analysis used to investigate the symptoms of cancer patients during chemotherapy: a scoping review.Discover oncology · 2025Review
- Symptom and functional networks of patients with cancer in different latent risk subgroups based on patient-reported outcomes.BMC cancer · 2025Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objective: This study aims to identify distinct subgroups among gastric cancer patients undergoing chemotherapy (CTX), delineate associated symptom networks, and ascertain the clinical and sociodemographic variables contributing to diverse symptom patterns. Methods: Conducted in eastern China, our investigation involved gastric cancer patients receiving CTX. We gathered data using the M.D. Anderson Symptom Inventory Gastrointestinal Cancer Module along with clinical and sociodemographic variables. Subgroups were discerned based on symptom severity through latent profile analysis, and subsequent comparisons were made regarding the symptom networks in different subgroups. Results: The analysis encompassed 677 eligible gastric cancer patients, revealing three profiles: "Profile 1: low class" ( Conclusions: Patients within different subgroups manifest individualized patterns of symptom profiles. Analyzing demographics, disease characteristics, and psychosocial information among diverse subgroups facilitates healthcare providers in devising more personalized and targeted symptom management strategies, thereby alleviating the symptom burden on patients.
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