BACKGROUND: In prior studies, the use of standard breast cancer treatments has varied by race, but previous analyses were not nationally representative. Therefore, in a comprehensive, national cohort of Medicare patients, racial disparities in the use of radiotherapy (RT) after breast-conserving surgery (BCS) for invasive breast cancer were quantified. METHODS: A national Medicare database was used to identify all beneficiaries (age >65 years) treated with BCS for incident invasive breast cancer in 2003. Claims codes identified RT use, and Medicare demographic data indicated race. Logistic regression modeled RT use in white, black, and other-race patients, adjusted for demographic, clinical, and socioeconomic covariates. RESULTS: Of 34,080 women, 91% were white, 6% were black, and 3% were another race. The mean age of the patients was 76 +/- 7 years. Approximately 74% of whites, 65% of blacks, and 66% of other-race patients received RT (P < .001). After covariate adjustment, whites were found to be significantly more likely to receive RT than blacks (odds ratio, 1.48; 95% confidence interval, 1.34-1.63 [P < .001]). Disparities between white and black patients varied by geographic region, with blacks in areas of the northeastern and southern United States demonstrating the lowest rates of RT use (57% in these regions). In patients age <70 years, racial disparities persisted. Specifically, 83% of whites, 73% of blacks, and 78% of other races in this younger group received RT (P < .001). CONCLUSIONS: In this comprehensive national sample of older breast cancer patients, substantial racial disparities were identified in RT use after BCS across much of the United States. Efforts to improve breast cancer care require overcoming these disparities, which exist on a national scale. Copyright 2009 American Cancer Society.
BACKGROUND: In prior studies, the use of standard breast cancer treatments has varied by race, but previous analyses were not nationally representative. Therefore, in a comprehensive, national cohort of Medicare patients, racial disparities in the use of radiotherapy (RT) after breast-conserving surgery (BCS) for invasive breast cancer were quantified. METHODS: A national Medicare database was used to identify all beneficiaries (age >65 years) treated with BCS for incident invasive breast cancer in 2003. Claims codes identified RT use, and Medicare demographic data indicated race. Logistic regression modeled RT use in white, black, and other-race patients, adjusted for demographic, clinical, and socioeconomic covariates. RESULTS: Of 34,080 women, 91% were white, 6% were black, and 3% were another race. The mean age of the patients was 76 +/- 7 years. Approximately 74% of whites, 65% of blacks, and 66% of other-race patients received RT (P < .001). After covariate adjustment, whites were found to be significantly more likely to receive RT than blacks (odds ratio, 1.48; 95% confidence interval, 1.34-1.63 [P < .001]). Disparities between white and black patients varied by geographic region, with blacks in areas of the northeastern and southern United States demonstrating the lowest rates of RT use (57% in these regions). In patients age <70 years, racial disparities persisted. Specifically, 83% of whites, 73% of blacks, and 78% of other races in this younger group received RT (P < .001). CONCLUSIONS: In this comprehensive national sample of older breast cancerpatients, substantial racial disparities were identified in RT use after BCS across much of the United States. Efforts to improve breast cancer care require overcoming these disparities, which exist on a national scale. Copyright 2009 American Cancer Society.
Authors: M Clarke; R Collins; S Darby; C Davies; P Elphinstone; V Evans; J Godwin; R Gray; C Hicks; S James; E MacKinnon; P McGale; T McHugh; R Peto; C Taylor; Y Wang Journal: Lancet Date: 2005-12-17 Impact factor: 79.321
Authors: Lydia Voti; Lisa C Richardson; Isildinha Reis; Lora E Fleming; Jill Mackinnon; Jan Willem W Coebergh Journal: Breast Cancer Res Treat Date: 2005-10-22 Impact factor: 4.872
Authors: Benjamin D Smith; Bruce G Haffty; Thomas A Buchholz; Grace L Smith; Deron H Galusha; Justin E Bekelman; Cary P Gross Journal: J Natl Cancer Inst Date: 2006-09-20 Impact factor: 13.506
Authors: Anneke T Schroen; David R Brenin; Maria D Kelly; William A Knaus; Craig L Slingluff Journal: J Clin Oncol Date: 2005-10-01 Impact factor: 44.544
Authors: Benjamin D Smith; Bruce G Haffty; Grace L Smith; Arti Hurria; Thomas A Buchholz; Cary P Gross Journal: Int J Radiat Oncol Biol Phys Date: 2007-11-08 Impact factor: 7.038
Authors: Hubert Y Pan; Gary V Walker; Stephen R Grant; Pamela K Allen; Jing Jiang; B Ashleigh Guadagnolo; Benjamin D Smith; Matthew Koshy; Chad G Rusthoven; Usama Mahmood Journal: Cancer Epidemiol Biomarkers Prev Date: 2017-02-09 Impact factor: 4.254
Authors: Katherine E Reeder-Hayes; John Bainbridge; Anne Marie Meyer; Keith D Amos; Bryan J Weiner; Paul A Godley; William R Carpenter Journal: Breast Cancer Res Treat Date: 2011-02-22 Impact factor: 4.872
Authors: Pamela R Soulos; James B Yu; Kenneth B Roberts; Ann C Raldow; Jeph Herrin; Jessica B Long; Cary P Gross Journal: J Clin Oncol Date: 2012-03-05 Impact factor: 44.544
Authors: Harriet Eldredge-Hindy; Jianmin Pan; Shesh N Rai; Leonid B Reshko; Anthony Dragun; Elizabeth C Riley; Kelly M McMasters; Nicolas Ajkay Journal: Ann Surg Oncol Date: 2021-03-18 Impact factor: 5.344
Authors: E Shelley Hwang; Daphne Y Lichtensztajn; Scarlett Lin Gomez; Barbara Fowble; Christina A Clarke Journal: Cancer Date: 2013-01-28 Impact factor: 6.860