TY - JOUR
T1 - Disparities in overall survival for male breast cancer patients in the state of Florida (1996-2007)
AU - O'Brien, Bridget
AU - Koru-Sengul, Tulay
AU - Miao, Feng
AU - Saclarides, Constantine
AU - Tannenbaum, Stacey L.
AU - Alghamdi, Hattan
AU - Lee, David J.
AU - Franceschi, Dido
AU - Byrne, Margaret M.
AU - Avisar, Eli
N1 - Funding Information:
This study was funded by James and Esther King Florida Biomedical Research Program (Grant 10KG-06 ).
PY - 2015
Y1 - 2015
N2 - 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.
AB - 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.
KW - Cancer disparity
KW - Ethnic factor
KW - Florida
KW - Male breast cancer
KW - Social factor
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U2 - 10.1016/j.clbc.2014.12.010
DO - 10.1016/j.clbc.2014.12.010
M3 - Article
C2 - 25726509
AN - SCOPUS:84946495242
VL - 15
SP - e177-e187
JO - Clinical Breast Cancer
JF - Clinical Breast Cancer
SN - 1526-8209
IS - 4
ER -