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Factors associated with adjuvant systemic anti‐cancer treatment discontinuation for early breast cancer during the COVID‐19 pandemic.
- Source :
- European Journal of Cancer Care; Nov2022, Vol. 31 Issue 6, p1-6, 6p
- Publication Year :
- 2022
-
Abstract
- Objective: The Covid‐19 pandemic led to challenging discussions between oncology clinicians and patients regarding additional risks posed by SARS‐CoV‐2 infection whilst receiving systemic anti‐cancer therapies (SACT). We assess the potential factors affecting discontinuation of adjuvant early breast cancer treatment during the pandemic. Methods: Data were collected on all patients with early breast cancer undergoing adjuvant SACT, between 16 March and 17 April 2020 at a single UK cancer centre. Univariate binary logistic regression analysis was performed on variables including age, recurrence risk, Index of Multiple Deprivation decile, presence of physical comorbidities, modality of treatment (neoadjuvant or adjuvant), type of treatment (cytotoxic chemotherapy or monoclonal antibodies), percentage of cycles completed and availability of alternative treatments, with a binary dependent variable on treatment discontinuation. Results: Sixty‐two patients with early breast cancer were identified: 18 receiving neoadjuvant and 44 adjuvant therapies. Median age was 57.5 years (range 31–75 years). Age (P = 0.02), percentage of treatment cycles completed (P = 0.014) and presence of alternative treatment options (P = 0.019) were significant factors for SACT discontinuation during the height of the Covid‐19 pandemic. Conclusion: Factors affecting patients' decisions to discontinue SACT for early breast cancer during the Covid‐19 pandemic were elucidated, which may help identify patients requiring additional support. [ABSTRACT FROM AUTHOR]
- Subjects :
- ADJUVANT chemotherapy
STATISTICS
STATISTICAL significance
COVID-19
MULTIVARIATE analysis
MULTIPLE regression analysis
EARLY detection of cancer
RISK assessment
QUESTIONNAIRES
DESCRIPTIVE statistics
TERMINATION of treatment
LOGISTIC regression analysis
DATA analysis software
DATA analysis
ODDS ratio
BREAST tumors
COVID-19 pandemic
Subjects
Details
- Language :
- English
- ISSN :
- 09615423
- Volume :
- 31
- Issue :
- 6
- Database :
- Complementary Index
- Journal :
- European Journal of Cancer Care
- Publication Type :
- Academic Journal
- Accession number :
- 160426722
- Full Text :
- https://doi.org/10.1111/ecc.13668