Disparities in mortality-to-incidence ratios by race/ethnicity for female breast cancer in New York City, 2002-2016

2002-2016年纽约市女性乳腺癌死亡率与发病率比率按种族/族裔划分的差异

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Abstract

BACKGROUND: Racial disparities in New York City (NYC) breast cancer incidence and mortality rates have previously been demonstrated. Disease stage at diagnosis and mortality-to-incidence ratio (MIR) may present better measures of differences in screening and treatment access. Racial/ethnic trends in NYC MIR have not previously been assessed. METHODS: Mammogram rates were compared using the NYC Community Health Survey, 2002-2014. Breast cancer diagnosis, stage, and mortality were from the New York State Cancer Registry, 2000-2016. Primary outcomes were MIR, the ratio of age-adjusted mortality to incidence rates, and stage at diagnosis. Joinpoint regression analysis identified significant trends. RESULTS: Mammogram rates in 2002-2014 among Black and Latina women ages 40 and older (79.9% and 78.4%, respectively) were stable and higher than among White (73.6%) and Asian/Pacific-Islander women (70.4%) (P < .0001). There were 82 733 incident cases of breast cancer and 16 225 deaths in 2000-2016. White women had the highest incidence, however, rates among Black, Latina, and Asian/Pacific Islander women significantly increased. Black and Latina women presented with local disease (Stage I) less frequently (53.2%, 57.6%, respectively) than White (62.5%) and Asian/Pacific-Islander women (63.0%). Black women presented with distant disease (Stage IV) more frequently than all other groups (Black 8.7%, Latina 5.8%, White 6.0%, and Asian 4.2%). Black women had the highest breast cancer mortality rate and MIR (Black 0.25, Latina 0.18, White 0.17, and Asian women 0.11). CONCLUSIONS: More advanced disease at diagnosis coupled with a slower decrease in breast cancer mortality among Black and Latina women may partially explain persistent disparities in MIR especially prominent among Black women. Assessment of racial/ethnic differences in screening quality and access to high-quality treatment may help identify areas for targeted interventions to improve equity in breast cancer outcomes.

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