2007
DOI: 10.1093/jnci/djm223
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Projecting Individualized Absolute Invasive Breast Cancer Risk in African American Women

Abstract: The CARE model usually gave higher risk estimates for African American women than the Breast Cancer Risk Assessment Tool and is recommended for counseling African American women regarding their risk of breast cancer.

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Cited by 290 publications
(267 citation statements)
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“…In foreign-born WHI women, the HRM appeared to overestimate risk, but this discrepancy was not statistically significant. In WHI, the concordance statistics for the HRM for USborn and foreign-born Hispanic women, while modest, were similar to those obtained for other BCRAT models (2,3).…”
Section: Discussionsupporting
confidence: 73%
See 1 more Smart Citation
“…In foreign-born WHI women, the HRM appeared to overestimate risk, but this discrepancy was not statistically significant. In WHI, the concordance statistics for the HRM for USborn and foreign-born Hispanic women, while modest, were similar to those obtained for other BCRAT models (2,3).…”
Section: Discussionsupporting
confidence: 73%
“…Following the previously described methods (2,3,17), we first developed nativityspecific multivariable relative risk models from the SFBCS data, including risk factors in (17). Then, we obtained baseline ageand nativity-specific breast cancer incidence rates for Hispanic women by multiplying age-and nativity-specific rates from CCR times 1 minus the nativity-specific population-attributable risk from SFBCS.…”
Section: Discussionmentioning
confidence: 99%
“…27 Recently, the model was updated using data from the Contraceptive and Reproductive Experiences Study to provide more accurate determination of risk for Black women. 28 (The Gail model is not applicable to patients with a prior history of invasive breast cancer, lobular carcinoma in situ [LCIS], or ductal carcinoma in situ [DCIS]. )…”
Section: Quantitative Breast Cancer Risk Assessmentmentioning
confidence: 99%
“…Knowledge of gene expression changes in these tissues could generate novel tools to integrate into existing riskassessment models (e.g. the Gail model (Gail et al, 1989(Gail et al, , 2007) to improve their accuracy. Some evidence already exists suggesting that alterations could have clinical significance (Yang et al, 2005;Chen et al, 2009).…”
mentioning
confidence: 99%