Symptom clusters in breast cancer survivors with and without type 2 diabetes over the cancer trajectory

dc.contributor.authorStorey, Susan
dc.contributor.authorLuo, Xiao
dc.contributor.authorRen, Jie
dc.contributor.authorHuang, Kun
dc.contributor.authorVon Ah, Diane
dc.contributor.departmentSchool of Nursing
dc.date.accessioned2024-05-23T11:51:39Z
dc.date.available2024-05-23T11:51:39Z
dc.date.issued2023-11-14
dc.description.abstractObjective: This study aimed to investigate symptoms and symptom clusters in breast cancer survivors (BCS) with and without type 2 diabetes across three crucial periods during the cancer trajectory (0-6 months, 12-18 months, and 24-30 months) post-initial chemotherapy. Methods: Eight common symptoms in both BCS and individuals with diabetes were identified through natural language processing of electronic health records from January 2007 to December 2018. Exploratory factor analysis was employed to discern symptom clusters, evaluating their stability, consistency, and clinical relevance. Results: Among the 4601 BCS in the study, 20% (n = 905) had a diabetes diagnosis. Gastrointestinal symptoms and fatigue were prevalent in both groups. While BCS in both groups exhibited an equal number of clusters, the composition of these clusters differed. Symptom clusters varied over time between BCS with and without diabetes. BCS with diabetes demonstrated less stability (repeated clusters) and consistency (same individual symptoms comprising clusters) than their counterparts without diabetes. This suggests that BCS with diabetes may experience distinct symptom clusters at pivotal points in the cancer treatment trajectory. Conclusions: Healthcare providers must be attentive to BCS with diabetes throughout the cancer trajectory, considering intensified and/or unique profiles of symptoms and symptom clusters. Interdisciplinary cancer survivorship models are essential for effective diabetes management in BCS. Implementing a comprehensive diabetes management program throughout the cancer trajectory could alleviate symptoms and symptom clusters, ultimately enhancing health outcomes and potentially reducing healthcare resource utilization.
dc.eprint.versionFinal published version
dc.identifier.citationStorey S, Luo X, Ren J, Huang K, Von Ah D. Symptom clusters in breast cancer survivors with and without type 2 diabetes over the cancer trajectory. Asia Pac J Oncol Nurs. 2023;11(1):100343. Published 2023 Nov 14. doi:10.1016/j.apjon.2023.100343
dc.identifier.urihttps://hdl.handle.net/1805/40972
dc.language.isoen_US
dc.publisherElsevier
dc.relation.isversionof10.1016/j.apjon.2023.100343
dc.relation.journalAsia-Pacific Journal of Oncology Nursing
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0
dc.sourcePMC
dc.subjectBreast cancer survivors
dc.subjectType 2 diabetes
dc.subjectSymptom clusters
dc.subjectNatural language processing
dc.subjectCancer trajectory
dc.subjectElectronic health record
dc.titleSymptom clusters in breast cancer survivors with and without type 2 diabetes over the cancer trajectory
dc.typeArticle
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