Literature DB >> 23775026

Disparities in survival after female breast cancer diagnosis: a population-based study.

Stacey L Tannenbaum1, Tulay Koru-Sengul, Feng Miao, Margaret M Byrne.   

Abstract

BACKGROUND: Despite advances in treatment and increased screening, female breast cancer survival is affected by race, ethnicity, and socioeconomic status (SES). The purpose of this study was to substantiate disparities in breast cancer mortality in a large and unique dataset containing 7 distinct racial groups, 31 comorbidities, demographic and clinical/pathological patient characteristics, and neighborhood poverty information.
METHODS: Florida Cancer Data System registry (1996-2007) linked with the Agency for Health Care Administration and U.S. Census tract (n = 127,754) explored median survival and 1-, 3-, and 5-year survival rates by the Kaplan-Meier method. Log-rank tests compared survival curves by race/ethnicity/SES. Cox proportional hazards regression models were used to obtain unadjusted and adjusted hazard ratios (HR) and 95% confidence intervals.
RESULTS: Native Americans had the lowest median survival (7.4 years) and Asians had the highest (12.6 years). For the univariate analysis, worse survival was seen for blacks (HR = 1.44; p < 0.001) and better survival for Asians (HR = 0.71; p < 0.001), Asian Indians or Pakistanis (HR = 0.65; p = 0.013), and Hispanics (HR = 0.92; p < 0.001). Multivariate analysis demonstrated sustained survival detriment for blacks (HR = 1.28; p < 0.001) and improved survival for Hispanics (HR = 0.90; p = 0.001). For SES, there was an incremental improvement in survival for each higher SES category in all analyses (p < 0.001).
CONCLUSIONS: Utilizing a large enriched state cancer registry controlling for multiple demographic, clinical, and comorbidities, we fully explored survival disparities in female breast cancer and found certain aspects of race, ethnicity, and SES to remain significantly associated with breast cancer survival. More research is needed to uncover the source of these ongoing disparities.

Entities:  

Mesh:

Year:  2013        PMID: 23775026     DOI: 10.1007/s10552-013-0246-5

Source DB:  PubMed          Journal:  Cancer Causes Control        ISSN: 0957-5243            Impact factor:   2.506


  24 in total

1.  A population-based study of ethnicity and breast cancer stage at diagnosis in Ontario.

Authors:  O M Ginsburg; H D Fischer; B R Shah; L Lipscombe; L Fu; G M Anderson; P A Rochon
Journal:  Curr Oncol       Date:  2015-04       Impact factor: 3.677

2.  Race and breast cancer survival by intrinsic subtype based on PAM50 gene expression.

Authors:  Candyce H Kroenke; Carol Sweeney; Marilyn L Kwan; Charles P Quesenberry; Erin K Weltzien; Laurel A Habel; Adrienne Castillo; Phillip S Bernard; Rachel E Factor; Lawrence H Kushi; Bette J Caan
Journal:  Breast Cancer Res Treat       Date:  2014-03-07       Impact factor: 4.872

3.  Does race predict survival for women with invasive breast cancer?

Authors:  Siún M Walsh; Emily C Zabor; Michelle Stempel; Monica Morrow; Mary L Gemignani
Journal:  Cancer       Date:  2019-06-17       Impact factor: 6.860

4.  Racial disparities in breast cancer diagnosis and treatment by hormone receptor and HER2 status.

Authors:  Lu Chen; Christopher I Li
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2015-10-13       Impact factor: 4.254

Review 5.  Weight gain following breast cancer diagnosis: Implication and proposed mechanisms.

Authors:  Grace Makari-Judson; Barry Braun; D Joseph Jerry; Wilson C Mertens
Journal:  World J Clin Oncol       Date:  2014-08-10

6.  Comparison of the Genomic Landscape Between Primary Breast Cancer in African American Versus White Women and the Association of Racial Differences With Tumor Recurrence.

Authors:  Tanya Keenan; Beverly Moy; Edmund A Mroz; Kenneth Ross; Andrzej Niemierko; James W Rocco; Steven Isakoff; Leif W Ellisen; Aditya Bardia
Journal:  J Clin Oncol       Date:  2015-09-14       Impact factor: 44.544

7.  Neighborhood socioeconomic deprivation, tumor subtypes, and causes of death after non-metastatic invasive breast cancer diagnosis: a multilevel competing-risk analysis.

Authors:  Min Lian; Maria Pérez; Ying Liu; Mario Schootman; Ann Frisse; Ellen Foldes; Donna B Jeffe
Journal:  Breast Cancer Res Treat       Date:  2014-09-19       Impact factor: 4.872

8.  Ethnic disparities in adherence to breast cancer survivorship surveillance care.

Authors:  Pragati S Advani; Jun Ying; Richard Theriault; Amal Melhem-Bertrand; Stacy Moulder; Isabelle Bedrosian; Welela Tereffe; Shon Black; Tunghi May Pini; Abenaa M Brewster
Journal:  Cancer       Date:  2013-11-20       Impact factor: 6.860

9.  Recruitment of a Population-Based Sample of Young Black Women with Breast Cancer through a State Cancer Registry.

Authors:  Devon Bonner; Deborah Cragun; Monique Reynolds; Susan T Vadaparampil; Tuya Pal
Journal:  Breast J       Date:  2015-12-14       Impact factor: 2.431

10.  Impact of patient navigation in eliminating economic disparities in cancer care.

Authors:  Angie Mae Rodday; Susan K Parsons; Frederick Snyder; Melissa A Simon; Adana A M Llanos; Victoria Warren-Mears; Donald Dudley; Ji-Hyun Lee; Steven R Patierno; Talar W Markossian; Mechelle Sanders; Elizabeth M Whitley; Karen M Freund
Journal:  Cancer       Date:  2015-09-08       Impact factor: 6.860

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