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Race/ethnicity and accuracy of self-reported female first-degree family history of breast and other cancers in the Northern California Breast Cancer Family Registry

Supporting Files
File Language:
English


Details

  • Alternative Title:
    Cancer Epidemiol Biomarkers Prev
  • Personal Author:
  • Description:
    Background:

    Few studies have evaluated accuracy of self-reported family history of breast and other cancers in racial/ethnic minorities.

    Methods:

    We assessed the accuracy of cancer family history reports by women with breast cancer (probands) from the Northern California Breast Cancer Family Registry compared to two reference standards: personal cancer history reports by female first-degree relatives and California Cancer Registry records.

    Results:

    Probands reported breast cancer in first-degree relatives with high accuracy, but accuracy was lower for other cancers. Sensitivity (% correctly identifying relatives with cancer) was 93% (95% CI, 89.5–95.4) when compared to the relatives’ self-report of breast cancer as the reference standard and varied little by proband race/ethnicity and other demographic factors, except for marginally lower sensitivity for Hispanic white probands (87.3%, 95% CI, 78.0–93.1, P=0.07) than non-Hispanic white probands (95.1%, 95% CI=88.9–98.0). Accuracy was also high when compared to cancer registry records as the reference standard, with a sensitivity of 95.5% (95% CI, 93.4–96.9) for breast cancer, but lower sensitivity for Hispanic white probands (91.2%, 95% CI, 84.4–95.2, P=0.05) and probands with low English language proficiency (80%, 95% CI, 52.8–93.5, P <0.01).

    Conclusions:

    Non-Hispanic white, African American, and Asian American probands reported first-degree breast cancer family history with high accuracy, although sensitivity was lower for Hispanic white probands and those with low English language proficiency.

    Impact:

    Self-reported family history of breast cancer in first-degree relatives is highly accurate and can be used as a reliable standard when other validation methods are not available.

  • Subjects:
  • Source:
    Cancer Epidemiol Biomarkers Prev. 28(11):1792-1801
  • Pubmed ID:
    31488412
  • Pubmed Central ID:
    PMC6825587
  • Document Type:
  • Funding:
  • Place as Subject:
  • Volume:
    28
  • Issue:
    11
  • Collection(s):
  • Main Document Checksum:
    urn:sha256:be50c0a779ceb81b33126593cc3f3512bd1ca52a66932d60549930d1066496af
  • Download URL:
  • File Type:
    Filetype[PDF - 478.50 KB ]
File Language:
English
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