Literature DB >> 25726509

Disparities in Overall Survival for Male Breast Cancer Patients in the State of Florida (1996-2007).

Bridget O'Brien1, Tulay Koru-Sengul2, Feng Miao3, Constantine Saclarides4, Stacey L Tannenbaum3, Hattan Alghamdi5, David J Lee2, Dido Franceschi1, Margaret M Byrne2, Eli Avisar6.   

Abstract

BACKGROUND: Little is known regarding population-based disparities in male breast cancer (MBC). We analyzed this for Florida using data from 1996 to 2007.
MATERIALS AND METHODS: Data from the Florida Cancer Data System, the Agency for Health Care Administration, and the US Census were linked for MBC patients (n = 1589). Survival time was our primary end point, with adjustments for sociodemographic status, neighborhood-based poverty measures, clinical and hospital characteristics, and comorbidity measures based on linkage with in- and outpatient treatment records. Survival time was modeled using univariate and multivariate Cox regression models.
RESULTS: Five-year overall survival was 65.7%. Overall mean survival time in years was 7.7, but shorter in black (5.9) than white (7.8) individuals, in non-Hispanic (7.7) than Hispanic (8.5) individuals, and in the lowest socioeconomic status (SES) group (5.9) than in the highest (8.2) SES group. Patients with low SES also presented at a more advanced stage with only 75/175 [42.9%] of low SES patients who presented with localized disease compared with 311/621 [50.1%] for middle-high SES and 162/334 [48.5%] for the highest SES. Univariate hazard regressions found only the highest (hazard ratio [HR], 0.63; 95% confidence interval [CI], 0.46-0.85) and middle-high (HR, 0.71; 95% CI, 0.54-0.94) SES were at improved survival compared with lowest SES but this advantage did not remain significant in the fully adjusted model. Marital status, age, smoking status, stage, treatments, and comorbidities were also predictors of survival.
CONCLUSION: Survival disparities among SES groups were most apparent in our study. Improved access to screening and health care utilization might attenuate these differences. Understanding other survival disparities can aid in public health and clinical care choices.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Cancer disparity; Ethnic factor; Florida; Male breast cancer; Social factor

Mesh:

Year:  2015        PMID: 25726509     DOI: 10.1016/j.clbc.2014.12.010

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


  5 in total

1.  Remake Rates for Single-Unit Crowns in Clinical Practice: Findings from The National Dental Practice-Based Research Network.

Authors:  Michael S McCracken; Mark S Litaker; Valeria V Gordan; Thomas Karr; Ellen Sowell; Gregg H Gilbert
Journal:  J Prosthodont       Date:  2018-11-22       Impact factor: 2.752

Review 2.  Breast Cancer Disparities and the Impact of Geography.

Authors:  Samilia Obeng-Gyasi; Barnabas Obeng-Gyasi; Willi Tarver
Journal:  Surg Oncol Clin N Am       Date:  2021-10-19       Impact factor: 3.495

3.  Are there differences in outcomes by race among women with metastatic triple-negative breast cancer?

Authors:  Bridget A Oppong; Angel A Rolle; Amara Ndumele; Yaming Li; James L Fisher; Oindrila Bhattacharyya; Toyin Adeyanju; Electra D Paskett
Journal:  Breast Cancer Res Treat       Date:  2022-09-24       Impact factor: 4.624

4.  Factors Explaining Socio-Economic Inequalities in Cancer Survival: A Systematic Review.

Authors:  Nina Afshar; Dallas R English; Roger L Milne
Journal:  Cancer Control       Date:  2021 Jan-Dec       Impact factor: 3.302

5.  The influence of marital status and race/ethnicity on risk of mortality for triple negative breast cancer.

Authors:  Carol Parise; Vincent Caggiano
Journal:  PLoS One       Date:  2018-04-26       Impact factor: 3.240

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.