Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Claus model"'
Publikováno v:
Cancer Medicine, Vol 11, Iss 21, Pp 4043-4052 (2022)
Abstract Background Identifying women with high risk of breast cancer is necessary to study high‐risk experiences and deliver risk‐management care. Risk prediction models estimate individuals' lifetime risk but have rarely been applied in communi
Externí odkaz:
https://doaj.org/article/092f94e9aaa34cffb14fef856bceaa55
Akademický článek
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Autor:
Donna Freeborn, Anita Y. Kinney, Dennis L. Eggett, Mary Williams, Maren L. Zaro, Deborah O. Himes
Publikováno v:
Journal of the American Association of Nurse Practitioners. 31:562-572
BACKGROUND AND PURPOSE The United States Preventative Services Task Force (USPSTF) recommends breast cancer risk-screening tools to help primary care providers determine which unaffected patients to refer to genetic specialists. The USPSTF does not r
Autor:
Jeremy Ginsberg, Huy Hong, Anjali D. Zimmer, Mark J. Berger, Cynthia L. Neben, Alicia Y. Zhou, Hannah E. Williams, Wendy McKennon, Ryan Barrett
Publikováno v:
Database: The Journal of Biological Databases and Curation
Publicly-available genetic databases promote data sharing and fuel scientific discoveries for the prevention, treatment, and management of disease. In 2018, we built Color Data, a user-friendly, open access database containing genotypic and self-repo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b45f0c5ea5a1400dd213727527d39a92
Publikováno v:
Cancer Research. 76:P2-09
Background: Hereditary cancer gene panel testing can assess breast cancer risk for women with significant family histories. The Claus risk model is another method to determine which women qualify for annual breast MRIs based on family history, and ca
Autor:
Dieter Schäfer, Kerstin Rhiem, Ricarda Flöttmann, Nicola Dikow, Silke Zachariae, Alfons Meindl, Christine Fischer, Dorothea Gadzicki, Ira Schwaab, Christiana Kartsonaki, Irmgard Debatin, Christoph Engel, Tiemo Grimm, Antonis C. Antoniou, Rita K. Schmutzler, Nasim Mavaddat, Hansjörg Plendl, Nils Rahner, Friedrich Stock, Karoline Kuchenbäcker, Evelin Schröck, Judit Horvath, Brigitte Schlegelberger
Publikováno v:
Journal of Medical Genetics. 50:360-367
Background Risk prediction models are widely used in clinical genetic counselling. Despite their frequent use, the genetic risk models BOADICEA, BRCAPRO, IBIS and extended Claus model (eCLAUS), used to estimate BRCA1/2 mutation carrier probabilities,
Autor:
B. Onoghojobi
Publikováno v:
Journal of Mathematics and Statistics. 5:375-378
Problem statement: In this study, a locally unbiased test statistic based on the Claussian method was presented. Approach: In this respect, exploiting special structures of modified quadratic hill climbing method and the Claussian statistics were con
Publikováno v:
The Journal for Nurse Practitioners. 4:361-369
Breast cancer risk assessment is important in identifying women who may be at higher than average risk for developing the disease. Based upon risk assessment, women at high breast cancer risk may require intensified breast surveillance, and may have
Autor:
C. E. Jacobi, J.C. van Houwelingen, Martijn H. Breuning, J. E. M. van Diemen-Homan, Marianne A. Jonker, G. H. de Bock, Christi J. van Asperen, Egbert Bakker
Publikováno v:
Cancer Epidemiology, Biomarkers & Prevention. 13:87-93
Risk estimation in breast cancer families is often estimated by use of the Claus tables. We analyzed the family histories of 196 counselees; compared the Claus tables with the Claus, the BRCA1/2, the BRCA1/2/ models; and performed linear regression a
Publikováno v:
Surgical Oncology. 10:183-192
Breast cancer is the commonest cancer among women and the second highest cause of cancer death. It remains a significant health problem and represents a significant worry for many women and their physician. During the last years, intensive research h