• Login
    View Item 
    •   Home
    • UMass Chan Departments, Programs and Centers
    • Radiology
    • Radiology Publications
    • View Item
    •   Home
    • UMass Chan Departments, Programs and Centers
    • Radiology
    • Radiology Publications
    • View Item
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Browse

    All of eScholarship@UMassChanCommunitiesPublication DateAuthorsUMass Chan AffiliationsTitlesDocument TypesKeywordsThis CollectionPublication DateAuthorsUMass Chan AffiliationsTitlesDocument TypesKeywords

    My Account

    LoginRegister

    Help

    AboutSubmission GuidelinesData Deposit PolicySearchingAccessibilityTerms of UseWebsite Migration FAQ

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Variation in Breast Cancer Risk Model Estimates Among Women in Their 40s Seen in Primary Care

    • CSV
    • RefMan
    • EndNote
    • BibTex
    • RefWorks
    Authors
    Schonberg, Mara A
    Karamourtopoulos, Maria
    Pinheiro, Adlin
    Davis, Roger B
    Sternberg, Scot B
    Mehta, Tejas S
    Gilliam, Elizabeth A
    Tung, Nadine M
    UMass Chan Affiliations
    Radiology
    Document Type
    Journal Article
    Publication Date
    2022-01-21
    Keywords
    breast cancer risk
    mammography screening
    women in 40s
    
    Metadata
    Show full item record
    Link to Full Text
    https://doi.org/10.1089/jwh.2021.0299
    Abstract
    Background: The Gail, Breast Cancer Surveillance Consortium (BCSC), and Tyrer-Cuzick breast cancer risk prediction models are recommended for use in primary care. Calculating breast cancer risk is particularly important for women in their 40s when deciding on mammography, with some guidelines recommending screening for those with 5-year risk similar to women age 50 (≥1.1%). Yet, little is known about risk estimate agreement among models for these women. Materials and Methods: Four hundred nine Boston-area women 40-49 years of age completed a risk questionnaire before a primary care visit to compute their breast cancer risk. The kappa statistic was used to examine when (1) Gail and BCSC agreed on 5-year risk ≥1.1%; (2) Gail estimated 5-year risk ≥1.7% and Tyrer-Cuzick estimated 10-year risk ≥5% (guideline thresholds for recommending prevention medications); and when (3) Gail and Tyrer-Cuzick agreed on lifetime risk ≥20% (threshold for breast MRI using Tyrer-Cuzick). Results: Participant mean age was 44.1 years, 56.7% were non-Hispanic white, and 7.8% had a first-degree relative with breast cancer. Of 266 with breast density information to estimate both Gail and BCSC, the models agreed on 5-year risk being ≥1.1% for 36 women, kappa = 0.34 (95% confidence interval: 0.23-0.45). Gail and Tyrer-Cuzick estimates led to agreement about prevention medications for 8 women, kappa 0.41 (0.20-0.61), and models agreed on lifetime risk ≥20% for 3 women, kappa 0.08 (-0.01 to 0.16). Conclusions: There is weak agreement on breast cancer risk estimates generated by risk models recommended for primary care. Using different models may lead to different clinical recommendations for women in their 40s.
    Source
    Schonberg MA, Karamourtopoulos M, Pinheiro A, Davis RB, Sternberg SB, Mehta TS, Gilliam EA, Tung NM. Variation in Breast Cancer Risk Model Estimates Among Women in Their 40s Seen in Primary Care. J Womens Health (Larchmt). 2022 Apr;31(4):495-502. doi: 10.1089/jwh.2021.0299. Epub 2022 Jan 21. PMID: 35073183.
    DOI
    10.1089/jwh.2021.0299
    Permanent Link to this Item
    http://hdl.handle.net/20.500.14038/51578
    PubMed ID
    35073183
    Notes
    At the time of publication of this article, Tejas Mehta is an Associate Professor in the Department of Radiology at UMass Chan Medical School.
    ae974a485f413a2113503eed53cd6c53
    10.1089/jwh.2021.0299
    Scopus Count
    Collections
    Radiology Publications

    entitlement

    DSpace software (copyright © 2002 - 2023)  DuraSpace
    Lamar Soutter Library, UMass Chan Medical School | 55 Lake Avenue North | Worcester, MA 01655 USA
    Quick Guide | escholarship@umassmed.edu
    Open Repository is a service operated by 
    Atmire NV
     

    Export search results

    The export option will allow you to export the current search results of the entered query to a file. Different formats are available for download. To export the items, click on the button corresponding with the preferred download format.

    By default, clicking on the export buttons will result in a download of the allowed maximum amount of items.

    To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

    After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.