Literature DB >> 27297238

Do Socioeconomic Factors and Race Determine the Likelihood of Breast-Conserving Surgery?

Bao C Nguyen1, Zeinab M Alawadi1, David Roife1, Lillian S Kao1, Tien C Ko1, Curtis J Wray2.   

Abstract

BACKGROUND: Racial disparities in the use of breast-conserving surgery (BCS) have been reported and may be due to advanced stage at diagnosis. Our hypothesis was that low-income and ethnic minority patients have an increased tumor size at diagnosis and decreased likelihood of BCS. PATIENTS AND METHODS: A retrospective review was conducted of early stage breast cancer patients from 10 hospitals in Harris County, Texas, between 2004 and 2011. Clinical stage was calculated on the basis of data from the institutional tumor registries and electronic medical records. Zip code-based socioeconomic factors were downloaded from the US Census Bureau (http://www.census.gov/). Linear regression was used to identify predictors of tumor size, and logistic regression was used to identify predictors of BCS.
RESULTS: The cohort included 3937 patients, comprising 2546 (65%) whites, 535 (14%) African Americans, 482 (11%) Hispanics, and 374 (10%) Asian/others. Multivariate linear regression demonstrated socioeconomic status (SES), younger age, African American, Hispanic race, and hormone receptor-negative tumors to be associated with increased tumor size at diagnosis (P < .05). Hispanic and Asian/other race, larger tumor size, combined estrogen receptor-negative/progesterone receptor-negative tumors were associated with not receiving BCS.
CONCLUSION: Race and SES were both associated with larger tumor size at diagnosis. Larger tumor size, negative hormone receptor status, and Hispanic and Asian race were associated with lack of receipt of BCS. Breast cancer screening programs should target both minority and low SES groups. Rates of BCS should be interpreted cautiously when used as a quality metric because of the multiple factors, including tumor size and biology, contributing to its use.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Breast cancer; Disparities; Health care disparities

Mesh:

Year:  2016        PMID: 27297238     DOI: 10.1016/j.clbc.2016.05.008

Source DB:  PubMed          Journal:  Clin Breast Cancer        ISSN: 1526-8209            Impact factor:   3.225


  8 in total

1.  Relation between socioeconomic variables and surgical, systemic and radiation treatment in a cohort of patients with breast cancer in an urban Canadian centre

Authors:  Jennifer Li; Sylvie D. Cornacchi; Forough Farrokhyar; Neil Johnston; Shawn Forbes; Susan Reid; Nicole Hodgson; Sarah Lovrics; Kristen Lucibello; Peter Lovrics
Journal:  Can J Surg       Date:  2019-04-01       Impact factor: 2.089

2.  Beyond demographics: Missing sociodemographics in surgical research.

Authors:  Kathryn M Stadeli; Mariam N Hantouli; Elena G Brewer; Elizabeth Austin; Kemi M Doll; Danielle C Lavallee; Giana H Davidson
Journal:  Am J Surg       Date:  2019-07-29       Impact factor: 2.565

3.  Phenotype Discovery and Geographic Disparities of Late-Stage Breast Cancer Diagnosis across U.S. Counties: A Machine Learning Approach.

Authors:  Weichuan Dong; Wyatt P Bensken; Uriel Kim; Johnie Rose; Nathan A Berger; Siran M Koroukian
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2021-10-25       Impact factor: 4.090

4.  Influence of occupation and education level on breast cancer stage at diagnosis, and treatment options in China: A nationwide, multicenter 10-year epidemiological study.

Authors:  Yang Liu; Jian Zhang; Rong Huang; Wei-Liang Feng; Ya-Nan Kong; Feng Xu; Lin Zhao; Qing-Kun Song; Jing Li; Bao-Ning Zhang; Jin-Hu Fan; You-Lin Qiao; Xiao-Ming Xie; Shan Zheng; Jian-Jun He; Ke Wang
Journal:  Medicine (Baltimore)       Date:  2017-04       Impact factor: 1.889

Review 5.  Combining Nonclinical Determinants of Health and Clinical Data for Research and Evaluation: Rapid Review.

Authors:  Elizabeth Golembiewski; Katie S Allen; Amber M Blackmon; Rachel J Hinrichs; Joshua R Vest
Journal:  JMIR Public Health Surveill       Date:  2019-10-07

6.  Socioeconomic impact of breast cancer on young women in Ghana: A qualitative study.

Authors:  Merri Iddrisu; Lydia Aziato; Lillian A Ohene
Journal:  Nurs Open       Date:  2020-10-06

7.  Variation in and Factors Associated With US County-Level Cancer Mortality, 2008-2019.

Authors:  Weichuan Dong; Wyatt P Bensken; Uriel Kim; Johnie Rose; Qinjin Fan; Nicholas K Schiltz; Nathan A Berger; Siran M Koroukian
Journal:  JAMA Netw Open       Date:  2022-09-01

Review 8.  Socioeconomic status and breast cancer treatment.

Authors:  Marie S Dreyer; Ann B Nattinger; Emily L McGinley; Liliana E Pezzin
Journal:  Breast Cancer Res Treat       Date:  2017-09-07       Impact factor: 4.624

  8 in total

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