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The mental health impacts of receiving a breast cancer diagnosis: A meta-analysis
Open accessAbstract
Background Receiving a breast cancer diagnosis can be a turning point with negative impacts on mental health, treatment and prognosis. This meta-analysis sought to determine the nature and prevalence of clinically significant psychological distress-related symptoms in the wake of a breast cancer diagnosis.Methods Ten databases were searched between March and August 2020. Thirty-nine quantitative studies were meta-analysed.Results The prevalence of clinically significant symptoms was 39% for non-specific distress (n = 13), 34% for anxiety (n = 19), 31% for post-traumatic stress (n = 7) and 20% for depression (n = 25). No studies reporting breast cancer patients' well-being in our specific time frame were found.Conclusion Mental health can be impacted in at least four domains following a diagnosis of breast cancer and such effects are commonplace. This study outlines a clear need for mitigating the impacts on mental health brought about by breast cancer diagnosis. CRD42020203990.
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“Additionally, breast cancer patients are more likely to experience subclinical psychological problems and symptomatic psychological discomfort, with frequencies ranging from 30% to 75% [6].”
From Effectiveness of Acceptance and Commitment Therapy (ACT) on disease acceptance for breast cancer patients: Study protocol of a randomized controlled trial (2024) · cites this paper as [6]
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Research works printed but not linked: 1
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Cited by
Sorted by citations
The Lancet Breast Cancer Commission
Coles, C. E., Earl, H. M., Anderson, B. O., Barrios, C. H., Bienz, M., Bliss, J. M., Cameron, D., Cardoso, F., Cui, W., Francis, P. A., et al. (2024) · The Lancet · doi:10.1016/s0140-6736(24)00747-5 · Cited by 209
NCCN Guidelines® Insights: Distress Management, Version 2.2023
Riba, M. B., Donovan, K. A., Ahmed, K., Andersen, B. L., Braun, I., BREITBART, W. S., Brewer, B. W., Corbett, C. M., Fann, J. R., Fleishman, S. B., et al. (2023) · Journal of the National Comprehensive Cancer Network · doi:10.6004/jnccn.2023.0026 · Cited by 169
The Systematic Review of Artificial Intelligence Applications in Breast Cancer Diagnosis
Ozsahin, D. U., Emegano, D. I., Uzun, B., & Özşahin, İ. (2022) · Diagnostics · doi:10.3390/diagnostics13010045 · Cited by 63
Guerra‐Londono, C. E., Cata, J. P., Nowak, K., & Gottumukkala, V. N. R. (2024) · Current Oncology · doi:10.3390/curroncol31040162 · Cited by 52
Martínez-Calderón, J., García‐Muñoz, C., Heredia‐Rizo, A. M., & Cano‐García, F. J. (2024) · Journal of Affective Disorders · doi:10.1016/j.jad.2024.01.259 · Cited by 42
Metadata
- Authors
- Fortin, J., Leblanc, M., Elgbeili, G., Cordova, M. J., Marin, M.-F., & Brunet, A.
- Affiliations
- Douglas Mental Health University Institute (CA)
- Université de Montréal (CA)
- Palo Alto University (US)
- Université du Québec à Montréal (CA)
- Corresponding author
- Fortin, Justine
- Venue
- British Journal of Cancer
- Published
- 2021-09-04
- Volume
- 125
- Issue
- 11
- Pages
- 1582-1592
- ISSN
- 0007-0920 (ISSN-L)
- 1532-1827
- PMC
- PMC8608836
- OpenAlex
- W3196604109
- Cited by
- 177
- References
- 105
- Citations by year
- 2026: 43 · 2025: 53 · 2024: 41 · 2023: 30 · 2022: 10
- FWCI
- 2.45
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- British Journal of Cancer (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Oncology › Cancer survivorship and care
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Women's cancer prevention and management
- Social Sciences › Psychology › Clinical Psychology › Family Support in Illness
- Keywords
- breast cancer diagnosis, psychological distress, anxiety, depression, post-traumatic stress, mental health
- MeSH terms
- Breast Neoplasms, Female, Humans, Mental Health
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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