Your browser doesn't support javascript.
loading
Performance of risk prediction models in breast cancer screening among women in Cyprus.
Danladi, Ceasar; Serakinci, Nedime.
Afiliación
  • Danladi C; Department of Medical Genetics, Near East University, Institute of Health Sciences, Nicosia, Cyprus.
  • Serakinci N; Cyprus International Universty, Nicosia North Cyprus and Turkish Republic of Northern Cyprus Presidency Selahattin Sonat Sokak, Lefkosa TRNC.
East Mediterr Health J ; 28(12): 888-895, 2022 Dec 21.
Article en En | MEDLINE | ID: mdl-36573569
Background: Tools that can predict breast cancer risk in women will have a significant impact on women and healthcare systems in low- and middle-income countries. Aims: We compared the performances of the Breast and Ovarian Analysis of Disease Incidence and Carrier Estimation Algorithm (BOADICEA) model, the International Breast Cancer Intervention Study (IBIS) model, and the Gail model in predicting breast cancer risk among women in Cyprus. Methods: We recruited 655 women from Dr Burhan Nalbantoglu Devlet Hastanesi Hospital in Lefkosa: 318 had breast cancer and 337 did not have breast cancer (hospital-based controls). We collected retrospective data from the hospital's medical records and interviews with the women after informed consent. Data collected included: age, age at diagnosis, age at menarche, menopausal status, presence of benign breast disease, breast cancer in relatives, BRCA-1 and BRCA-2 mutations, history of hormone replacement therapy, and breast density. We calculated the 5-year risk of breast cancer and the risk values were used to plot receiver operating curves. Results: For the area under the curve (95% confidence interval, CI), sensitivity and specificity for the models were: BOADICEA 0.81 (95% CI: 0.77-0.84), 26.4% and 98.8%; IBIS 0.80 (95% CI: 0.77-0.84), 19.4% and 97.3%; and Gail 0.76 (95% CI: 0.73-0.80), 17.3% and 98.5%. Conclusions: The breast cancer risk prediction models performed similarly although on closer appraisal, the BOADICEA and IBIS models performed slightly better. These models are simple, appropriate, cost-effective, and non-invasive tools for identifying high-risk women in low- and middle-income countries who could benefit from mammography screening.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama Tipo de estudio: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Female / Humans País/Región como asunto: Europa Idioma: En Revista: East Mediterr Health J Asunto de la revista: MEDICINA Año: 2022 Tipo del documento: Article País de afiliación: Chipre Pais de publicación: Egipto

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama Tipo de estudio: Diagnostic_studies / Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Female / Humans País/Región como asunto: Europa Idioma: En Revista: East Mediterr Health J Asunto de la revista: MEDICINA Año: 2022 Tipo del documento: Article País de afiliación: Chipre Pais de publicación: Egipto