Literature DB >> 28964641

Absence of an anticipated racial disparity in interval breast cancer within a large health care organization.

Garth H Rauscher1, Firas Dabbous2, Therese A Dolecek3, Sarah M Friedewald4, Katherine Tossas-Milligan3, Teresita Macarol5, W Thomas Summerfelt6.   

Abstract

PURPOSE: Compared to non-Latina (nL) white women, nL black women are diagnosed with more aggressive breast cancers, which in turn should be more likely to go undetected on screening mammography and subsequently arise as interval breast cancer (IBC). We sought to estimate the extent of an anticipated racial disparity in IBC within a single, large health care organization.
METHODS: The present analysis focuses on 4357 breast cancers diagnosed between 2001 and 2012 and within 18 months of a screening mammogram (N = 714,218). We used logistic regression with model-based standardization (predictive margins) to estimate adjusted prevalence differences corresponding to a racial disparity in IBC.
RESULTS: Overall, prevalence of IBC within 18 months was 20.7%. Contrary to expectation, in patient-adjusted models, there was no IBC racial disparity (percentage point disparity = -2.1, 95% confidence interval: -4.7, 2.6). However, when controlling for facility characteristics, including proportion of nL black patients, the model coefficient for the IBC disparity reversed sign and changed substantially (P < .0001) and a racial disparity emerged (percentage point disparity = +5.1, 95% confidence interval: -0.3, 9.9).
CONCLUSIONS: The sorting of patients by race across facilities appears to have mitigated an otherwise anticipated disparity in IBC. Possible explanations are discussed.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  African Americans; Breast neoplasms; Caucasian race; Mammography

Mesh:

Year:  2017        PMID: 28964641      PMCID: PMC5682216          DOI: 10.1016/j.annepidem.2017.09.002

Source DB:  PubMed          Journal:  Ann Epidemiol        ISSN: 1047-2797            Impact factor:   3.797


  21 in total

1.  Association of volume and volume-independent factors with accuracy in screening mammogram interpretation.

Authors:  Craig A Beam; Emily F Conant; Edward A Sickles
Journal:  J Natl Cancer Inst       Date:  2003-02-19       Impact factor: 13.506

2.  On the origin of risk relativism.

Authors:  Charles Poole
Journal:  Epidemiology       Date:  2010-01       Impact factor: 4.822

Review 3.  A history of the population attributable fraction and related measures.

Authors:  Charles Poole
Journal:  Ann Epidemiol       Date:  2014-12-11       Impact factor: 3.797

4.  Disparities in screening mammography services by race/ethnicity and health insurance.

Authors:  Garth H Rauscher; Kristi L Allgood; Steve Whitman; Emily Conant
Journal:  J Womens Health (Larchmt)       Date:  2011-09-23       Impact factor: 2.681

5.  Breast density as a predictor of mammographic detection: comparison of interval- and screen-detected cancers.

Authors:  M T Mandelson; N Oestreicher; P L Porter; D White; C A Finder; S H Taplin; E White
Journal:  J Natl Cancer Inst       Date:  2000-07-05       Impact factor: 13.506

6.  Racial and Ethnic Disparity in Symptomatic Breast Cancer Awareness despite a Recent Screen: The Role of Tumor Biology and Mammography Facility Characteristics.

Authors:  Mylove Mortel; Garth H Rauscher; Anne Marie Murphy; Kent Hoskins; Richard B Warnecke
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2015-07-21       Impact factor: 4.254

7.  Role of detection method in predicting breast cancer survival: analysis of randomized screening trials.

Authors:  Yu Shen; Ying Yang; Lurdes Y T Inoue; Mark F Munsell; Anthony B Miller; Donald A Berry
Journal:  J Natl Cancer Inst       Date:  2005-08-17       Impact factor: 13.506

8.  Potentially missed detection with screening mammography: does the quality of radiologist's interpretation vary by patient socioeconomic advantage/disadvantage?

Authors:  Garth H Rauscher; Jenna A Khan; Michael L Berbaum; Emily F Conant
Journal:  Ann Epidemiol       Date:  2013-03-01       Impact factor: 3.797

Review 9.  Screening for breast cancer: an update for the U.S. Preventive Services Task Force.

Authors:  Heidi D Nelson; Kari Tyne; Arpana Naik; Christina Bougatsos; Benjamin K Chan; Linda Humphrey
Journal:  Ann Intern Med       Date:  2009-11-17       Impact factor: 25.391

10.  Racial/Ethnic Disparities in Time to a Breast Cancer Diagnosis: The Mediating Effects of Health Care Facility Factors.

Authors:  Yamile Molina; Abigail Silva; Garth H Rauscher
Journal:  Med Care       Date:  2015-10       Impact factor: 2.983

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  2 in total

1.  Validation of the breast cancer surveillance consortium model of breast cancer risk.

Authors:  Jeffrey A Tice; Michael C S Bissell; Diana L Miglioretti; Charlotte C Gard; Garth H Rauscher; Firas M Dabbous; Karla Kerlikowske
Journal:  Breast Cancer Res Treat       Date:  2019-02-22       Impact factor: 4.872

2.  The "Sweet Spot" Revisited: Optimal Recall Rates for Cancer Detection With 2D and 3D Digital Screening Mammography in the Metro Chicago Breast Cancer Registry.

Authors:  Garth H Rauscher; Anne Marie Murphy; Qiong Qiu; Therese A Dolecek; Katherine Tossas; Yanyang Liu; Nila H Alsheik
Journal:  AJR Am J Roentgenol       Date:  2021-02-10       Impact factor: 3.959

  2 in total

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