Melissa L Santorelli1, Kim M Hirshfield2, Michael B Steinberg3, George G Rhoads4, Yong Lin5, Kitaw Demissie6. 1. Department of Epidemiology, School of Public Health, Rutgers, The State University of New Jersey, 683 Hoes Lane West, Piscataway. Electronic address: veziname@sph.rutgers.edu. 2. Rutgers Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, 195 Little Albany Street, New Brunswick; Rutgers Robert Wood Johnson Medical School, Rutgers, The State University of New Jersey, 125 Paterson Street, New Brunswick. 3. Rutgers Robert Wood Johnson Medical School, Rutgers, The State University of New Jersey, 125 Paterson Street, New Brunswick. 4. Department of Epidemiology, School of Public Health, Rutgers, The State University of New Jersey, 683 Hoes Lane West, Piscataway. 5. Department of Biostatistics, School of Public Health, Rutgers, The State University of New Jersey, 683 Hoes Lane West, Piscataway. 6. Department of Epidemiology, School of Public Health, Rutgers, The State University of New Jersey, 683 Hoes Lane West, Piscataway; Rutgers Cancer Institute of New Jersey, Rutgers, The State University of New Jersey, 195 Little Albany Street, New Brunswick.
Abstract
PURPOSE: The purpose of this study was to evaluate associations between hormonal therapy for breast cancer and subsequent diabetes incidence. METHODS: The Surveillance, Epidemiology and End Results-Medicare linked data were used. Stage I-III breast cancer patients 65 years or older who filled at least two prescriptions for an aromatase inhibitor (AI) or tamoxifen by the end of 2008, and within 12 months of breast cancer diagnosis, were selected. Women without cancer from a 5% random sample of Medicare beneficiaries were frequency matched to patients by age group, and new onset diabetes was monitored for 24 months postbaseline in both groups of women. RESULTS: Cox-proportional hazards analysis failed to show an association between AI use and subsequent diabetes onset after adjusting for age, race, and comorbidity (hazard ratio: 0.99; 95% confidence interval: 0.84-1.18). This study also failed to show an association between tamoxifen use and diabetes onset (hazard ratio: 0.79; 95% confidence interval: 0.54-1.17). CONCLUSIONS: Study findings provide evidence that postmenopausal AI and tamoxifen users do not experience an increased risk of diabetes in the 2 years after treatment initiation. Whether these findings will hold with longer duration follow-up deserves a closer look.
PURPOSE: The purpose of this study was to evaluate associations between hormonal therapy for breast cancer and subsequent diabetes incidence. METHODS: The Surveillance, Epidemiology and End Results-Medicare linked data were used. Stage I-III breast cancerpatients 65 years or older who filled at least two prescriptions for an aromatase inhibitor (AI) or tamoxifen by the end of 2008, and within 12 months of breast cancer diagnosis, were selected. Women without cancer from a 5% random sample of Medicare beneficiaries were frequency matched to patients by age group, and new onset diabetes was monitored for 24 months postbaseline in both groups of women. RESULTS: Cox-proportional hazards analysis failed to show an association between AI use and subsequent diabetes onset after adjusting for age, race, and comorbidity (hazard ratio: 0.99; 95% confidence interval: 0.84-1.18). This study also failed to show an association between tamoxifen use and diabetes onset (hazard ratio: 0.79; 95% confidence interval: 0.54-1.17). CONCLUSIONS: Study findings provide evidence that postmenopausal AI and tamoxifen users do not experience an increased risk of diabetes in the 2 years after treatment initiation. Whether these findings will hold with longer duration follow-up deserves a closer look.
Authors: Marilyn L Kwan; Richard K Cheng; Carlos Iribarren; Romain Neugebauer; Jamal S Rana; Mai Nguyen-Huynh; Zaixing Shi; Cecile A Laurent; Valerie S Lee; Janise M Roh; Hanjie Shen; Eileen Rillamas-Sun; Margarita Santiago-Torres; Dawn L Hershman; Lawrence H Kushi; Heather Greenlee Journal: J Clin Oncol Date: 2022-01-13 Impact factor: 50.717