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Variations in breast cancer surgical treatment and timing: determinants and disparities
PURPOSE: To describe clinical and non-clinical factors associated with receipt of breast conserving surgery (BCS) versus mastectomy and time to surgical intervention. METHODS: Cross-sectional retrospective study of January 1, 2012 through March 31, 2018 data from the IBM MarketScan Commercial Claims...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer US
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8233284/ https://www.ncbi.nlm.nih.gov/pubmed/33689057 http://dx.doi.org/10.1007/s10549-021-06155-1 |
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author | Dankwa-Mullan, Irene George, Judy Roebuck, M. Christopher Tkacz, Joseph Willis, Van C Reyes, Fredy Arriaga, Yull E. |
author_facet | Dankwa-Mullan, Irene George, Judy Roebuck, M. Christopher Tkacz, Joseph Willis, Van C Reyes, Fredy Arriaga, Yull E. |
author_sort | Dankwa-Mullan, Irene |
collection | PubMed |
description | PURPOSE: To describe clinical and non-clinical factors associated with receipt of breast conserving surgery (BCS) versus mastectomy and time to surgical intervention. METHODS: Cross-sectional retrospective study of January 1, 2012 through March 31, 2018 data from the IBM MarketScan Commercial Claims and Encounter and Medicare Supplemental Databases. Area Health Resource Files provided non-clinical characteristics and sociodemographic data. Eligibility: Female sex, claim(s) with ICD-9-CM or ICD-10-CM diagnosis of non-metastatic invasive breast cancer, > 6 months of continuous insurance pre- and post-diagnosis, evidence of BCS or mastectomy following initial ICD9/10 code diagnosis. Logistic and quantile multivariable regression models assessed the association between clinical and non-clinical factors and the outcome of BCS and time to surgery, respectively. RESULTS: A total of 53,060 women were included in the study. Compared to mastectomy, BCS was significantly associated with older age (ORs: 1.54 to 2.99, 95% CIs 1.45 to 3.38; ps < .0001) and higher community density of medical genetics (OR: 5.88, 95% CIs 1.38 to 25.00; p = 0.02) or obstetrics and gynecology (OR: 1.13, 95% CI 1.02 to 1.25; p = .02) physicians. Shorter time-to-BCS was associated with living in the South (−2.96, 95% CI −4.39 to −1.33; p < .0001). Longer time-to-BCS was associated with residence in more urban (4.18, 95% CI 0.08 to 8.29; p = 0. 05), educated (9.02, 95% CI 0.13 to 17.91; p = 0.05), or plastic-surgeon-dense (4.62, 95% CI 0.50 to 8.73; p = 0.03) communities. CONCLUSIONS: Clinical and non-clinical factors are associated with adoption of BCS and time to treatment, suggesting opportunities to ensure equitable and timely care. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10549-021-06155-1. |
format | Online Article Text |
id | pubmed-8233284 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-82332842021-07-09 Variations in breast cancer surgical treatment and timing: determinants and disparities Dankwa-Mullan, Irene George, Judy Roebuck, M. Christopher Tkacz, Joseph Willis, Van C Reyes, Fredy Arriaga, Yull E. Breast Cancer Res Treat Epidemiology PURPOSE: To describe clinical and non-clinical factors associated with receipt of breast conserving surgery (BCS) versus mastectomy and time to surgical intervention. METHODS: Cross-sectional retrospective study of January 1, 2012 through March 31, 2018 data from the IBM MarketScan Commercial Claims and Encounter and Medicare Supplemental Databases. Area Health Resource Files provided non-clinical characteristics and sociodemographic data. Eligibility: Female sex, claim(s) with ICD-9-CM or ICD-10-CM diagnosis of non-metastatic invasive breast cancer, > 6 months of continuous insurance pre- and post-diagnosis, evidence of BCS or mastectomy following initial ICD9/10 code diagnosis. Logistic and quantile multivariable regression models assessed the association between clinical and non-clinical factors and the outcome of BCS and time to surgery, respectively. RESULTS: A total of 53,060 women were included in the study. Compared to mastectomy, BCS was significantly associated with older age (ORs: 1.54 to 2.99, 95% CIs 1.45 to 3.38; ps < .0001) and higher community density of medical genetics (OR: 5.88, 95% CIs 1.38 to 25.00; p = 0.02) or obstetrics and gynecology (OR: 1.13, 95% CI 1.02 to 1.25; p = .02) physicians. Shorter time-to-BCS was associated with living in the South (−2.96, 95% CI −4.39 to −1.33; p < .0001). Longer time-to-BCS was associated with residence in more urban (4.18, 95% CI 0.08 to 8.29; p = 0. 05), educated (9.02, 95% CI 0.13 to 17.91; p = 0.05), or plastic-surgeon-dense (4.62, 95% CI 0.50 to 8.73; p = 0.03) communities. CONCLUSIONS: Clinical and non-clinical factors are associated with adoption of BCS and time to treatment, suggesting opportunities to ensure equitable and timely care. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10549-021-06155-1. Springer US 2021-03-10 2021 /pmc/articles/PMC8233284/ /pubmed/33689057 http://dx.doi.org/10.1007/s10549-021-06155-1 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Epidemiology Dankwa-Mullan, Irene George, Judy Roebuck, M. Christopher Tkacz, Joseph Willis, Van C Reyes, Fredy Arriaga, Yull E. Variations in breast cancer surgical treatment and timing: determinants and disparities |
title | Variations in breast cancer surgical treatment and timing: determinants and disparities |
title_full | Variations in breast cancer surgical treatment and timing: determinants and disparities |
title_fullStr | Variations in breast cancer surgical treatment and timing: determinants and disparities |
title_full_unstemmed | Variations in breast cancer surgical treatment and timing: determinants and disparities |
title_short | Variations in breast cancer surgical treatment and timing: determinants and disparities |
title_sort | variations in breast cancer surgical treatment and timing: determinants and disparities |
topic | Epidemiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8233284/ https://www.ncbi.nlm.nih.gov/pubmed/33689057 http://dx.doi.org/10.1007/s10549-021-06155-1 |
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