David J Restrepo1, Daniel Boczar1, Maria T Huayllani1, Andrea Sisti1, Sarah A McLaughlin2, Aaron Spaulding3, Alexander S Parker4, Rickey E Carter3, Aaron L Leppin5, Antonio J Forte6. 1. Division of Plastic Surgery and Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Jacksonville, FL, U.S.A. 2. Department of Surgery, Mayo Clinic, Jacksonville, FL, U.S.A. 3. Department of Health Science Research, Mayo Clinic, Jacksonville, FL, U.S.A. 4. University of Florida, College of Medicine, Jacksonville, FL, U.S.A. 5. Department of Health Services Research, Mayo Clinic, Rochester, MN, U.S.A. 6. Division of Plastic Surgery and Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Jacksonville, FL, U.S.A. ajvforte@yahoo.com.br.
Abstract
BACKGROUND/AIM: We evaluated factors associated with mortality among men with breast cancer. MATERIALS AND METHODS: We used the National Cancer Database to identify men with breast cancer and evaluated factors associated with mortality, using a Cox regression model. RESULTS: Black patients experienced an increased risk of death from any cause compared to white patients [hazard ratio (HR)=1.19, 95%CI=1.05-1.37]. Patients with government insurance had a greater risk of death compared to privately insured patients (HR=1.57, 95%CI=1.41-1.75). When compared to patients with an income of >$46,000, those with an income <$30,000 presented an increased risk of death (HR=1.35, 95%CI=1.14-1.60). Finally, patients treated at a comprehensive community cancer program (HR=1.129, 95%CI=1.021-1.248), community cancer program (HR=1.164, 95%CI=1.010-1.343), or integrated network cancer program (HR=1.216; 95%CI=1.056-1.401) experienced elevated risk of death compared to those treated at academic/research-programs. CONCLUSION: Race, insurance, income, education, and facility type are associated with the risk of mortality in male patients with breast cancer. Copyright
BACKGROUND/AIM: We evaluated factors associated with mortality among men with breast cancer. MATERIALS AND METHODS: We used the National Cancer Database to identify men with breast cancer and evaluated factors associated with mortality, using a Cox regression model. RESULTS: Black patients experienced an increased risk of death from any cause compared to white patients [hazard ratio (HR)=1.19, 95%CI=1.05-1.37]. Patients with government insurance had a greater risk of death compared to privately insured patients (HR=1.57, 95%CI=1.41-1.75). When compared to patients with an income of >$46,000, those with an income <$30,000 presented an increased risk of death (HR=1.35, 95%CI=1.14-1.60). Finally, patients treated at a comprehensive community cancer program (HR=1.129, 95%CI=1.021-1.248), community cancer program (HR=1.164, 95%CI=1.010-1.343), or integrated network cancer program (HR=1.216; 95%CI=1.056-1.401) experienced elevated risk of death compared to those treated at academic/research-programs. CONCLUSION: Race, insurance, income, education, and facility type are associated with the risk of mortality in male patients with breast cancer. Copyright
Authors: David J Restrepo; Maria T Huayllani; Daniel Boczar; Andrea Sisti; Minh-Doan T Nguyen; Jordan J Cochuyt; Aaron C Spaulding; Brian D Rinker; Galen Perdikis; Antonio J Forte Journal: Medicina (Kaunas) Date: 2020-06-08 Impact factor: 2.430