Peer review hasil karya ilmiah jurnal internasional bereputasi - Assessment Of The Risk Of Developing Breast Cancer Using The Gail Model In Asian Females A Systematic Review

Solikhah, Solikhah and Nur Djannah, Sitti (2020) Peer review hasil karya ilmiah jurnal internasional bereputasi - Assessment Of The Risk Of Developing Breast Cancer Using The Gail Model In Asian Females A Systematic Review. [Artikel Dosen]

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Abstract

Introduction: Currently, the Breast Cancer Risk Assessment Tool (BCRAT), also known as the Gail model (GM) has
been widely recognized and adapted for to study disparity in racial and ethnic groups in America including Asian
and Pacific Islander American females. However, its applicability outside America remains uncertain due to diversity in epidemiology and risk factors of breast cancer in populations especially in Asian females. We sought to
evaluate the performance of the GM to predict breast cancer risk in Asian countries.
Material and methods: This study identified articles published from 2010 by searching PubMed, MEDLINE, Scopus,
Web of Science, Google Scholar and gray literature. The initial search terms were breast cancer, mammary, carcinoma,
tumor, neoplasm, risk assessment tool, BCRAT, breast cancer prediction, Gail model, Asia, and Asian.
Results: The search yielded 20 articles, with 7 articles addressing the AUC and/or the expected (E) to observed (O)
ratio of predicted breast cancer risk, representing the accuracy of the GM in the Asian population. One publication
reported the sensitivity and specificity but no AUC. None of the studies were accepted as the standard for
reporting prognostic models. Several studies reported good prognostic testing and likely developed a new model
modifying the items in the instrument.
Conclusion: The results are not strong enough to develop breast cancer risk in the setting of Asian countries.
Involving the breast cancer risk of the Asian population in developing a prognostic model with good statistical
understanding is particularly important and can reduce flawed or biased models. Identifying the best methods to
achieve well-suited prognostic models in the Asian population should be a priority.

Item Type:	Artikel Dosen
Subjects:	R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Divisi / Prodi:	Faculty of Public Health (Fakultas Kesehatan Masyarakat) > FKM Doc
Depositing User:	Dra Sitti Nur Djannah
Date Deposited:	13 Apr 2022 02:38
Last Modified:	19 Apr 2022 03:41
URI:	http://eprints.uad.ac.id/id/eprint/34096

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