David J Restrepo1, Andrea Sisti1, Daniel Boczar1, Maria T Huayllani1, Jennifer Fishe2, Emmanuel Gabriel3, Sarah A McLaughlin3, Sanjay Bagaria3, Aaron Spaulding4, Brian D Rinker1, Antonio J Forte5. 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 Emergency Medicine & Center for Data Solutions, University of Florida College of Medicine, Jacksonville, FL, U.S.A. 3. Department of Surgery, Mayo Clinic, Jacksonville, FL, U.S.A. 4. Department of Health Science Research, Mayo Clinic, Jacksonville, FL, U.S.A. 5. 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
AIM: This study describes the demographic, socioeconomic, and tumor-specific characteristics of patients who refuse breast cancer surgery. MATERIALS AND METHODS: This is a retrospective study of breast cancer patients from 2004-2015 captured by the National Cancer Data Base. Demographic, socioeconomic, and tumor-specific predictors were compared between patients who refused breast cancer surgery versus those who agreed to surgery, using bivariate and multivariate models. RESULTS: A total of 2,445,870 patients met the inclusion criteria. On multivariate analysis, black and Asian patients had higher odds of refusing surgical treatment compared to whites (OR=2.16, CI=2.05-2.28, p<0.001), (OR=1.58, CI=1.41-1.76, p<0.001), respectively. Moreover, patients with government insurance (OR=1.97, CI=1.86-2.09, p<0.001) and uninsured patients (OR=3.91, CI=3.50-4.36, p<0.001) were found to have higher odds of surgical treatment refusal when compared to patients with private insurance. CONCLUSION: Specific demographic and disease-specific characteristics are related to refusing potentially life-saving breast cancer surgery. Copyright
AIM: This study describes the demographic, socioeconomic, and tumor-specific characteristics of patients who refuse breast cancer surgery. MATERIALS AND METHODS: This is a retrospective study of breast cancerpatients from 2004-2015 captured by the National Cancer Data Base. Demographic, socioeconomic, and tumor-specific predictors were compared between patients who refused breast cancer surgery versus those who agreed to surgery, using bivariate and multivariate models. RESULTS: A total of 2,445,870 patients met the inclusion criteria. On multivariate analysis, black and Asian patients had higher odds of refusing surgical treatment compared to whites (OR=2.16, CI=2.05-2.28, p<0.001), (OR=1.58, CI=1.41-1.76, p<0.001), respectively. Moreover, patients with government insurance (OR=1.97, CI=1.86-2.09, p<0.001) and uninsured patients (OR=3.91, CI=3.50-4.36, p<0.001) were found to have higher odds of surgical treatment refusal when compared to patients with private insurance. CONCLUSION: Specific demographic and disease-specific characteristics are related to refusing potentially life-saving breast cancer surgery. 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
Authors: Jonathan J Hue; Katherine Bingmer; Kavin Sugumar; Sarah C Markt; Luke D Rothermel; Jeffrey M Hardacre; John B Ammori; Jordan M Winter; Lee M Ocuin Journal: J Pancreat Cancer Date: 2021-04-12