Breast cancer risk assessment evaluation of screening tools for genetics referral for women in Taiwan Article Swipe
Su‐Ying Fang
,
Yiyo Kuo
,
Pin‐Wen Lin
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1002/jgc4.70010
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1002/jgc4.70010
Background Risk screening tools recommended by the United States Preventative Services Task Force (USPSTF) are used to screen potential BRCA1/2 pathogenic variant carriers. The purpose of this study was to identify an appropriate breast cancer risk‐screening tool for genetic referral among women with a family history of breast cancer in Taiwan. Methods A cross‐sectional design with convenience sampling was used in this study. Women with a family history of breast cancer but not diagnosed with breast cancer were recruited from surgical outpatient clinics. Sociodemographic and family cancer history were collected based on the screening tools. Both the Tyrer‐Cuzick (IBIS) and BRCAPRO were used as a Gold standard to evaluate the accuracy of five screening tools. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and the areas under the receiver‐operating curve (AUC) were compared to identify the most accurate one to determine women with elevated risk as defined by IBIS and BRCAPRO calculations with lifetime risk over 15%. Results One hundred twenty‐four women with a family history of breast cancer but not yet diagnosed as breast cancer were recruited in this study. When the Tyrer‐Cuzick (IBIS) was used as the standard, the AUC for the tools ranged from 0.490 to 0.562. When the BRCAPRO was used as the standard, the p values of the Ontario Family History Assessment Tool (Ontario‐FHAT) ( p = 0.003) and Pedigree Assessment Tool (PAT) ( p = 0.016) were significant, and the AUCs were 0.938 and 0.854 for Ontario‐FHAT and PAT, respectively. Since the sensitivity of Ontario‐FHAT was 100, which is higher than PAT, we considered that using Ontario‐FHAT in Taiwanese women would be better than using PAT. Conclusions Ontario‐FHAT would be an appropriate screening tool for identifying individuals in Taiwan who may need a genetic referral for further BRCA1/2 risk evaluation.
Related Topics
Concepts
Referral
Genetic counseling
Cancer genetics
Medicine
Human genetics
Breast cancer
Public health
Family medicine
Medical genetics
Breast cancer screening
Gynecology
Genetic testing
Cancer
Genetics
Mammography
Internal medicine
Pathology
Biology
Gene
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/jgc4.70010
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/jgc4.70010
- OA Status
- bronze
- References
- 31
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4409962691
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4409962691Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/jgc4.70010Digital Object Identifier
- Title
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Breast cancer risk assessment evaluation of screening tools for genetics referral for women in TaiwanWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2025Year of publication
- Publication date
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2025-04-30Full publication date if available
- Authors
-
Su‐Ying Fang, Yiyo Kuo, Pin‐Wen LinList of authors in order
- Landing page
-
https://doi.org/10.1002/jgc4.70010Publisher landing page
- PDF URL
-
https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/jgc4.70010Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
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bronzeOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/jgc4.70010Direct OA link when available
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Referral, Genetic counseling, Cancer genetics, Medicine, Human genetics, Breast cancer, Public health, Family medicine, Medical genetics, Breast cancer screening, Gynecology, Genetic testing, Cancer, Genetics, Mammography, Internal medicine, Pathology, Biology, GeneTop concepts (fields/topics) attached by OpenAlex
- Cited by
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0Total citation count in OpenAlex
- References (count)
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31Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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