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Race/Ethnicity and Disparities in Mastectomy Practice in the Breast Cancer Care in Chicago Study

  • Breast Oncology
  • Published:
Annals of Surgical Oncology Aims and scope Submit manuscript

Abstract

Purpose

To examine racial/ethnic disparities in mastectomy practice and explore mediating factors to explain the disparity.

Methods

Participants included 989 females aged 30–79 years, from a population-based study of newly diagnosed (primary in situ/invasive) breast cancer patients, in Chicago, Illinois, from 2005 to 2008, who completed an interview. Medical records were also abstracted for tumor, diagnostic, and treatment information. Multivariable logistic regression models with model-based standardization were used to estimate risk differences. Differences in rescaled coefficients were used to estimate the proportion of the disparity that could be mediated by patient and tumor characteristics.

Results

Mastectomy prevalence overall was 40 %. Factors significantly associated with increased rates of mastectomy (p < 0.05) included the following: non-Hispanic (nH) black and Hispanic race/ethnicity; younger age at diagnosis; lower socioeconomic status (SES); lack of recency of and adherence to screening mammography; and higher tumor pathologic stage and grade. In adjusted models (age, body mass index, comorbidity), compared to nH white patients, mastectomy was increased by 10 % points in both nH black (95 % confidence interval [CI] 0.03, 0.18; p = 0.007) and Hispanic (95 % CI 0.01, 0.19; p = 0.028) patients. After accounting for the proportion of disparity mediated by tumor stage, the disparity was reduced by about a third in nH black (risk difference = 0.07, 95 % CI −0.01, 0.14) and half in Hispanic patients (risk difference = 0.04, 95 % CI −0.05, 0.13). Additional control for mediation by SES and other tumor-related factors almost completely eliminated the nH black:nH white disparity.

Conclusions

The best approach to reducing the racial/ethnic disparity in mastectomy rates would be to intervene on factors that could affect stage at diagnosis.

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References

  1. Siegel R, Naishadham D, Jemal A. Cancer statistics, 2013. CA Cancer J Clin. 2013;63(1):11–30.

    Article  PubMed  Google Scholar 

  2. Dehal A, Abbas A, Johna S. Racial disparities in clinical presentation, surgical treatment and in-hospital outcomes of women with breast cancer: analysis of nationwide inpatient sample database. Breast Cancer Res Treat. 2013;139(2):561–569.

    Article  PubMed  Google Scholar 

  3. Habermann EB, Abbott A, Parsons HM, Virnig BA, Al-Refaie WB, Tuttle TM. Are mastectomy rates really increasing in the United States? J Clin Oncol. 2010;28(21):3437–3441.

    Article  PubMed  Google Scholar 

  4. Ward E, Halpern M, Schrag N, et al. Association of insurance with cancer care utilization and outcomes. CA Cancer J Clin. 2008;58(1):9–31.

    Article  PubMed  Google Scholar 

  5. Fisher B, Anderson S, Bryant J, et al. Twenty-year follow-up of a randomized trial comparing total mastectomy, lumpectomy, and lumpectomy plus irradiation for the treatment of invasive breast cancer. N Engl J Med. 17 2002;347(16):1233–1241.

    Article  PubMed  Google Scholar 

  6. Ditlevsen S, Christensen U, Lynch J, Damsgaard MT, Keiding N. The mediation proportion: a structural equation approach for estimating the proportion of exposure effect on outcome explained by an intermediate variable. Epidemiology (Cambridge, Mass.). 2005;16(1):114–120.

  7. Cummings P. The relative merits of risk ratios and odds ratios. Arch Pediatr Adolesc Med. 2009;163(5):438–445.

    Article  PubMed  Google Scholar 

  8. Rauscher GH, Ferrans CE, Kaiser K, Campbell RT, Calhoun EE, Warnecke RB. Misconceptions about breast lumps and delayed medical presentation in urban breast cancer patients. Cancer Epidemiol Biomark Prev. 2010;19(3):640–647.

    Article  Google Scholar 

  9. CDC. Adult BMI. 2014. http://www.cdc.gov/healthyweight/assessing/bmi/adult_bmi/. Accessed 22 April 14, 2014.

  10. Sampson RJ, Morenoff JD, Earls F. Beyond social capital: spatial dynamics of collective efficacy for children. Am Sociol Rev. 1999;64:633–660.

    Article  Google Scholar 

  11. Browning CR, Wallace D, Feinberg SL, Cagney KA. Neighborhood social processes, physical conditions, and disaster-related mortality: the case of the 1995 Chicago heat wave. Am Sociol Rev. 2006;71(4):661–678.

    Article  Google Scholar 

  12. Kohler U, Karlson KB, Holm A. Comparing coefficients of nested nonlinear probability models. Stata J. 2011;11(3):420–438.

    Google Scholar 

  13. Hawley ST, Griggs JJ, Hamilton AS, et al. Decision involvement and receipt of mastectomy among racially and ethnically diverse breast cancer patients. J Natl Cancer Inst. 2009;101(19):1337–1347.

    Article  PubMed Central  PubMed  Google Scholar 

  14. Mauri D, Pavlidis N, Ioannidis JPA. Neoadjuvant versus adjuvant systemic treatment in breast cancer: a meta-analysis. J Natl Cancer Inst. 2005;97(3):188–194.

    Article  PubMed  Google Scholar 

  15. Yancik R, Wesley MN, Ries LG, Havlik RJ, Edwards BK, Yates JW. EFfect of age and comorbidity in postmenopausal breast cancer patients aged 55 years and older. JAMA. 2001;285(7):885–892.

    Article  CAS  PubMed  Google Scholar 

  16. Cui Y, Whiteman MK, Flaws JA, Langenberg P, Tkaczuk KH, Bush TL. Body mass and stage of breast cancer at diagnosis. Int J Cancer. Journal international du cancer. 2002;98(2):279–283.

    Article  CAS  Google Scholar 

  17. Hall HI, Coates RJ, Uhler RJ, et al. Stage of breast cancer in relation to body mass index and bra cup size. Int J Cancer. Journal international du cancer. 2 1999;82(1):23–27.

    Article  CAS  Google Scholar 

  18. Morris CR, Cohen R, Schlag R, Wright WE. Increasing trends in the use of breast-conserving surgery in California. Am J Public Health. 2000;90(2):281–284.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  19. Nattinger AB, Gottlieb MS, Veum J, Yahnke D, Goodwin JS. Geographic variation in the use of breast-conserving treatment for breast cancer. N Engl J Med. 1992;326(17):1102–1107.

    Article  CAS  PubMed  Google Scholar 

  20. Fisher B, Redmond C, Poisson R, et al. Eight-year results of a randomized clinical trial comparing total mastectomy and lumpectomy with or without irradiation in the treatment of breast cancer. N Engl J Med. 1989;320(13):822–828.

    Article  CAS  PubMed  Google Scholar 

  21. Fisher B, Anderson S, Redmond CK, Wolmark N, Wickerham DL, Cronin WM. Reanalysis and results after 12 years of follow-up in a randomized clinical trial comparing total mastectomy with lumpectomy with or without irradiation in the treatment of breast cancer. N Engl J Med. 1995;333(22):1456–1461.

    Article  CAS  PubMed  Google Scholar 

  22. Enewold L, Zhou J, McGlynn KA, et al. Racial variation in breast cancer treatment among Department of Defense beneficiaries. Cancer. 2012;118(3):812–820.

    Article  PubMed Central  PubMed  Google Scholar 

  23. Michalski TA, Nattinger AB. The influence of black race and socioeconomic status on the use of breast-conserving surgery for medicare beneficiaries. Cancer. 1997;79(2):314–319.

    Article  CAS  PubMed  Google Scholar 

  24. McGinnis LS, Menck HR, Eyre HJ, et al. National Cancer Data Base survey of breast cancer management for patients from low income zip codes. Cancer. 2000;88(4):933–945.

    Article  CAS  PubMed  Google Scholar 

  25. Bradley CJ, Given CW, Roberts C. Race, socioeconomic status, and breast cancer treatment and survival. J Natl Cancer Inst. 2002;94(7):490–496.

    Article  PubMed  Google Scholar 

  26. Joslyn SA, Foote ML, Nasseri K, Coughlin SS, Howe HL. Racial and ethnic disparities in breast cancer rates by age: NAACCR Breast Cancer Project. Breast Cancer Res Treat. 2005;92(2):97–105.

    Article  PubMed  Google Scholar 

  27. Dookeran KA, Dignam JJ, Holloway N, et al. Race and the prognostic influence of p53 in women with breast cancer. Ann Surg Oncol. 2012;19(7):2334–2344.

    Article  PubMed  Google Scholar 

  28. Lund MJ, Butler EN, Hair BY, et al. Age/race differences in HER2 testing and in incidence rates for breast cancer triple subtypes: a population-based study and first report. Cancer. 2010;116(11):2549–2559.

    PubMed  Google Scholar 

  29. Independent UK Panel on Breast Cancer Screening. The benefits and harms of breast cancer screening: an independent review. Lancet. 2012;380(9855):1778–1786.

    Article  Google Scholar 

Download references

Acknowledgment

Supported in part by National Cancer Institute (Grants 2P50CA106743-06 and 1P50CA106743-01) and the Komen Foundation (Grant KG111385). Dr. Silva’s work was supported by the Office of Academic Affiliations, Department of Veterans Affairs.

Disclosure

The authors declare no conflict of interest.

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Correspondence to Keith A. Dookeran MBBS, FRCS(Ed), MD, MBA.

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Dookeran, K.A., Silva, A., Warnecke, R.B. et al. Race/Ethnicity and Disparities in Mastectomy Practice in the Breast Cancer Care in Chicago Study. Ann Surg Oncol 22, 66–74 (2015). https://doi.org/10.1245/s10434-014-3945-6

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  • DOI: https://doi.org/10.1245/s10434-014-3945-6

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