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Breast cancer symptom profile longitudinal changes: data mining study
  1. Mohammad Fathian and
  2. Farzane Akbari
  1. Iran University of Science and Technology, Tehran, Iran
  1. Correspondence to Dr Mohammad Fathian; fathian{at}iust.ac.ir

Abstract

Objectives Identifying stable co-occurring symptoms in breast cancer (BC) patients during chemotherapy can improve symptom management and the treatment process. This study examines symptom cluster stability in Iranian BC patients receiving chemotherapy and evaluates stability across three-time points within each cluster.

Methods This study collected data from three-time points: initial chemotherapy commencement, 2½ months postdiagnosis, and 5 months postdiagnosis. The research used exploratory factor analysis (EFA) in combination with hierarchical cluster analysis (HCA) and K means clustering to address research questions.

Results In the initial clustering step, EFA identified five clusters with high consistency across three-time points. The first cluster showed depression, anxiety and irritability, while the second cluster was characterised by sexual interest and pain. The third cluster was associated with diarrhoea and vomiting. In the second step, we obtained the HCA item output and two clusters of K means clustering that recorded depression and anxiety symptoms over time. Vomiting, dry mouth, sexual interest, worrying and numbness were observed during the first and second points, but the frequency has decreased since then.

Conclusions Cancer’s psychological and physiological symptoms, including depression, anxiety, digestive and hormonal issues, remain stable throughout the disease. Palliative care centres can improve patients’ quality of life and treatment process by addressing persistent symptoms.

  • Breast

Data availability statement

Data are available upon reasonable request.

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Data availability statement

Data are available upon reasonable request.

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Footnotes

  • Contributors The Iranian Cancer Control Charitable Institute (MACSA) contributed to the data acquisition and interpretation of the data. All authors gave final approval and agreed to be accountable for all aspects of work ensuring integrity and accuracy. MF is the guarantor.

  • Funding The authors have not declared a specific grant for this research from any funding agency in the public, commercial or not-for-profit sectors.

  • Competing interests None declared.

  • Provenance and peer review Not commissioned; externally peer reviewed.