ArticlePloS one2025
Symptom network analysis in breast cancer patients: A scoping review.
Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Symptom networks in breast cancer patients during chemotherapy and their impact on daily living status.Frontiers in oncology · 2026Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Existing research on symptom management in patients with breast cancer has predominantly focused on symptom cluster construction. However, the mechanisms underlying symptom interactions remain unclear. This disparity has hindered the development of efficient and precise strategies for symptom management. Symptom network analysis offers a novel approach by visualizing the complex interrelationships and interaction strengths among symptoms, thereby enabling the identification of central and bridge symptoms. This scoping review aimed to map the symptom network structure in patients with breast cancer and identify the core and bridge symptoms, thereby providing a theoretical foundation for developing personalized and precise symptom management strategies in clinical practice. Searches of PubMed, Web of Science, Cochrane Library, Embase, Elton B. Stephens Company (EBSCO), China National Knowledge Infrastructure (CNKI), Wanfang Data, and SinoMed were conducted to retrieve relevant literature on breast cancer symptom network analysis published from the time of database initiation to January 31, 2025, and assess the data. Thirteen papers were included, of which five were in Chinese and eight were in English. Symptom-related assessment tools included 13 types of single-symptom assessment scales and multi-symptom assessment scales, of which five studies used two or more scales; a total of 10 core and bridge symptoms were extracted, of which fatigue was the crucial core and bridge symptom. The symptom networks of breast cancer patients differ and change dynamically under varied treatment modalities. Although research on the symptom networks of patients with breast cancer has progressed, pitfalls such as unbalanced development and non-uniform research methods remain. Large-scale longitudinal studies are required to frame dynamic symptom networks, develop specific measurement tools, and combine latent variable analyses to construct heterogeneous symptom networks that will facilitate precise symptom management.
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Registered trials
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