ArticleCancer management and research2025
Symptom Network Analysis in Patients Undergoing Chemotherapy for Colorectal Cancer: A Cross-Sectional Study.
Article in Cancer management and research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Symptom interactions and candidate intervention targets in patients with esophageal cancer: Network analysis with computer-simulated interventions.Asia-Pacific journal of oncology nursing · 2026Article
- Network analysis of distress, symptom burden, social support, and digital health literacy in older postoperative patients with gastric cancer.Frontiers in psychiatry · 2026Article
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Authors and funding
3 authors.
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Abstract
Objective: This study aimed to construct a symptom network in patients diagnosed with colorectal cancer (CRC) undergoing chemotherapy, thereby providing a theoretical framework for optimizing symptom management strategies. Methods: A cross-sectional survey was conducted among 261 patients with CRC receiving chemotherapy across five tertiary care hospitals in Shanghai, selected through convenience sampling. Network analysis was applied to construct the symptom network and to determine centrality indices, including strength centrality. Model accuracy and stability were evaluated using nonparametric bootstrapping techniques. Results: Symptom prevalence ranged from 5.4% to 85.8%, with severity scores ranging from 0.51±1.44 to 4.83±3.23. Fatigue was associated with the highest severity score. Depression ( Conclusion: This study is among the first to apply network analysis to chemotherapy-related symptom interactions and potential mechanisms in CRC, highlighting central targets for intervention. These findings may inform more precise and efficient symptom management approaches in oncology care.
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