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. 2014 Jun;14(3):212-220.e1.
doi: 10.1016/j.clbc.2013.11.003. Epub 2013 Nov 22.

Assessing breast cancer risk models in Marin County, a population with high rates of delayed childbirth

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Assessing breast cancer risk models in Marin County, a population with high rates of delayed childbirth

Mark Powell et al. Clin Breast Cancer. 2014 Jun.

Abstract

Introduction: This study was designed to compare the Breast Cancer Risk Assessment Tool (BCRAT; Gail), International Breast Intervention Study (IBIS; Tyrer-Cuzick), and BRCAPRO breast cancer risk assessment models using data from the Marin Women's Study, a cohort of women within Marin County, California, with high rates of breast cancer, nulliparity, and delayed childbirth. Existing models have not been well-validated in these high-risk populations.

Methods: Discrimination was assessed using the area under the receiver operating characteristic curve (AUC) and calibration by estimating the ratio of expected-to-observed (E/O) cases. The models were assessed using data from 12,843 participants, of whom 203 had developed cancer during a 5-year period. All tests of statistical significance were 2-sided.

Results: The IBIS model achieved an AUC of 0.65 (95% confidence interval [CI], 0.61-0.68) compared with 0.62 (95% CI, 0.59-0.66) for BCRAT and 0.60 (95% CI, 0.56-0.63) for BRCAPRO. The corresponding estimated E/O ratios for the models were 1.08 (95% CI, 0.95-1.25), 0.81 (95% CI, 0.71-0.93), and 0.59 (95% CI, 0.52-0.68). In women with age at first birth > 30 years, the AUC for the IBIS, BCRAT, and BRCAPRO models was 0.69 (95% CI, 0.62-0.75), 0.63 (95% CI, 0.56-0.70), and 0.62 (95% CI, 0.56-0.68) and the E/O ratio was 1.15 (95% CI, 0.89-1.47), 0.81 (95% CI, 0.63-1.05), and 0.53 (95% CI, 0.41-0.68), respectively.

Conclusions: The IBIS model was well calibrated for the high-risk Marin mammography population and demonstrated the best calibration of the 3 models in nulliparous women. The IBIS model also achieved the greatest overall discrimination and displayed superior discrimination for women with age at first birth > 30 years.

Keywords: Breast cancer risk prediction; Calibration; Discrimination; Nulliparity; Risk factors.

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Conflict of interest statement

COMPETING INTERESTS

The authors declare that they have no competing interests.

Figures

Figure 1.
Figure 1.
Comparison of Expected and Observed Cases for BCRAT (Gail), BRCAPRO, and IBIS (Tyrer-Cuzick) Models by Risk Decile Abbreviations: BCRAT = Breast Cancer Risk Assessment Tool; exp. = expected; IBIS = International Breast Intervention Study; obs. = observed.

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