ArticleSupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2026
A scoping review of symptom clusters during chemotherapy in colorectal cancer patients.
Article in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2026. 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 trial behind it
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Who cites it
1 citing paper in PubMed.
- Genetic Insights into Interleukin-13 Polymorphisms in Colorectal Cancer Risk and Progression.Cancer genomics & proteomicsArticle
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
aimThis scoping review synthesizes research on symptom clusters in colorectal cancer patients undergoing chemotherapy, identifying their types, assessment tools, and changes over time. The findings aim to guide future research and improve symptom management.
methodsFollowing the Joanna Briggs Institute's scoping review framework, a systematic search was conducted in PubMed, Embase, EBSCO (MEDLINE), Web of Science, Cochrane Library, CNKI, Wanfang, and VIP databases. The search period ranges from 2001 to December 25, 2024. Eligible studies underwent data extraction and synthesis.
resultsNineteen studies met the inclusion criteria. A total of 34 symptom clusters were identified, categorized into psychological, gastrointestinal, neurotoxic, and other clusters. Eight assessment tools were used, with the MD Anderson Symptom Inventory being the most common. Longitudinal studies revealed significant variations in symptom clusters throughout chemotherapy, emphasizing the need for continuous monitoring and intervention.
conclusionThe MD Anderson Symptom Inventory is widely used; however, consistent frameworks for naming and classifying the derived clusters are needed. A clearer understanding of symptom cluster dynamics is essential to inform targeted clinical interventions. Future research should focus on developing standardized classification approaches and examining the stability of symptom clusters over time to support improved symptom management.
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Registered trials
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