S Djalalov1, J Beca2, E Amir3, M Krahn4, M E Trudeau5, J S Hoch6. 1. Canadian Centre for Applied Research in Cancer Control, Cancer Care Ontario, Toronto, ON. ; Centre for Excellence in Economic Analysis Research, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON. ; Pharmacoeconomics Research Unit, Cancer Care Ontario, Toronto, ON. 2. Centre for Excellence in Economic Analysis Research, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON. ; Pharmacoeconomics Research Unit, Cancer Care Ontario, Toronto, ON. ; Canadian Centre for Applied Research in Cancer Control, Cancer Care Ontario, Toronto, ON. 3. University of Toronto, Toronto, ON. ; Princess Margaret Hospital, Toronto, ON. 4. Canadian Centre for Applied Research in Cancer Control, Cancer Care Ontario, Toronto, ON. ; University of Toronto, Toronto, ON. ; The Toronto Health Economics and Technology Assessment Collaborative, Toronto, ON. 5. University of Toronto, Toronto, ON. ; Sunnybrook Health Sciences Centre, Toronto, ON. 6. Centre for Excellence in Economic Analysis Research, Li Ka Shing Knowledge Institute, St. Michael's Hospital, Toronto, ON. ; Pharmacoeconomics Research Unit, Cancer Care Ontario, Toronto, ON. ; Canadian Centre for Applied Research in Cancer Control, Cancer Care Ontario, Toronto, ON. ; University of Toronto, Toronto, ON.
Abstract
BACKGROUND: Aromatase inhibitor (ai) therapy has been subjected to numerous cost-effectiveness analyses. However, with most ais having reached the end of patent protection and with maturation of the clinical trials data, a re-analysis of ai cost-effectiveness and a consideration of ai use as part of sequential therapy is desirable. Our objective was to assess the cost-effectiveness of the 5-year upfront and sequential tamoxifen (tam) and ai hormonal strategies currently used for treating patients with estrogen receptor (er)-positive early breast cancer. METHODS: The cost-effectiveness analysis used a Markov model that took a Canadian health system perspective with a lifetime time horizon. The base case involved 65-year-old women with er-positive early breast cancer. Probabilistic sensitivity analyses were used to incorporate parameter uncertainties. An expected-value-of-perfect-information test was performed to identify future research directions. Outcomes were quality-adjusted life-years (qalys) and costs. RESULTS: The sequential tam-ai strategy was less costly than the other strategies, but less effective than upfront ai and more effective than upfront tam. Upfront ai was more effective and less costly than upfront tam because of less breast cancer recurrence and differences in adverse events. In an exploratory analysis that included a sequential ai-tam strategy, ai-tam dominated based on small numerical differences unlikely to be clinically significant; that strategy was thus not used in the base-case analysis. CONCLUSIONS: In postmenopausal women with er-positive early breast cancer, strategies using ais appear to provide more benefit than strategies using tam alone. Among the ai-containing strategies, sequential strategies using tam and an ai appear to provide benefits similar to those provided by upfront ai, but at a lower cost.
BACKGROUND: Aromatase inhibitor (ai) therapy has been subjected to numerous cost-effectiveness analyses. However, with most ais having reached the end of patent protection and with maturation of the clinical trials data, a re-analysis of ai cost-effectiveness and a consideration of ai use as part of sequential therapy is desirable. Our objective was to assess the cost-effectiveness of the 5-year upfront and sequential tamoxifen (tam) and ai hormonal strategies currently used for treating patients with estrogen receptor (er)-positive early breast cancer. METHODS: The cost-effectiveness analysis used a Markov model that took a Canadian health system perspective with a lifetime time horizon. The base case involved 65-year-old women with er-positive early breast cancer. Probabilistic sensitivity analyses were used to incorporate parameter uncertainties. An expected-value-of-perfect-information test was performed to identify future research directions. Outcomes were quality-adjusted life-years (qalys) and costs. RESULTS: The sequential tam-ai strategy was less costly than the other strategies, but less effective than upfront ai and more effective than upfront tam. Upfront ai was more effective and less costly than upfront tam because of less breast cancer recurrence and differences in adverse events. In an exploratory analysis that included a sequential ai-tam strategy, ai-tam dominated based on small numerical differences unlikely to be clinically significant; that strategy was thus not used in the base-case analysis. CONCLUSIONS: In postmenopausal women with er-positive early breast cancer, strategies using ais appear to provide more benefit than strategies using tam alone. Among the ai-containing strategies, sequential strategies using tam and an ai appear to provide benefits similar to those provided by upfront ai, but at a lower cost.
Entities:
Keywords:
Breast cancer; aromatase inhibitors; cost-effectiveness; tamoxifen
Authors: Raimund Jakesz; Walter Jonat; Michael Gnant; Martina Mittlboeck; Richard Greil; Christoph Tausch; Joern Hilfrich; Werner Kwasny; Christian Menzel; Hellmut Samonigg; Michael Seifert; Guenther Gademann; Manfred Kaufmann; Johann Wolfgang Journal: Lancet Date: 2005 Aug 6-12 Impact factor: 79.321
Authors: William D Leslie; Colleen J Metge; Mahmoud Azimaee; Lisa M Lix; Gregory S Finlayson; Suzanne N Morin; Patricia Caetano Journal: J Bone Miner Res Date: 2011-10 Impact factor: 6.741
Authors: Suzanne E Bentler; Li Liu; Maksym Obrizan; Elizabeth A Cook; Kara B Wright; John F Geweke; Elizabeth A Chrischilles; Claire E Pavlik; Robert B Wallace; Robert L Ohsfeldt; Michael P Jones; Gary E Rosenthal; Fredric D Wolinsky Journal: Am J Epidemiol Date: 2009-10-04 Impact factor: 4.897
Authors: Jack Cuzick; Ivana Sestak; Michael Baum; Aman Buzdar; Anthony Howell; Mitch Dowsett; John F Forbes Journal: Lancet Oncol Date: 2010-11-17 Impact factor: 41.316
Authors: Mitch Dowsett; Jack Cuzick; Jim Ingle; Alan Coates; John Forbes; Judith Bliss; Marc Buyse; Michael Baum; Aman Buzdar; Marco Colleoni; Charles Coombes; Claire Snowdon; Michael Gnant; Raimund Jakesz; Manfred Kaufmann; Francesco Boccardo; Jon Godwin; Christina Davies; Richard Peto Journal: J Clin Oncol Date: 2009-11-30 Impact factor: 44.544