Muhammad Waqas1, Andrew D Gong2, Bennett R Levy3, Rimal H Dossani4, Kunal Vakharia5, Justin M Cappuzzo6, Alexander Becker7, Ashish Sonig8, Vincent M Tutino9, Faisal Almayman10, Jason M Davies11, Kenneth V Snyder12, Adnan H Siddiqui13, Elad I Levy14. 1. Department of Neurosurgery, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, 100 High Street, Suite B4, Buffalo, NY 14203, USA; Department of Neurosurgery, Gates Vascular Institute, Kaleida Health, Buffalo, NY, USA. Electronic address: mwaqas@ubns.com. 2. Department of Neurosurgery, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, 100 High Street, Suite B4, Buffalo, NY 14203, USA; Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA. Electronic address: agong@buffalo.edu. 3. George Washington School of Medicine and Health Sciences, Washington, DC, USA. Electronic address: bennettlevy@gwmail.gwu.edu. 4. Department of Neurosurgery, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, 100 High Street, Suite B4, Buffalo, NY 14203, USA; Department of Neurosurgery, Gates Vascular Institute, Kaleida Health, Buffalo, NY, USA. 5. Department of Neurosurgery, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, 100 High Street, Suite B4, Buffalo, NY 14203, USA; Department of Neurosurgery, Gates Vascular Institute, Kaleida Health, Buffalo, NY, USA. Electronic address: kunalvakharia5@gmail.com. 6. Department of Neurosurgery, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, 100 High Street, Suite B4, Buffalo, NY 14203, USA; Department of Neurosurgery, Gates Vascular Institute, Kaleida Health, Buffalo, NY, USA. Electronic address: jcappuzzo@ubns.com. 7. Department of Neurosurgery, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, 100 High Street, Suite B4, Buffalo, NY 14203, USA; Department of Neurosurgery, Gates Vascular Institute, Kaleida Health, Buffalo, NY, USA. Electronic address: abecker@ubns.com. 8. Department of Neurosurgery, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, 100 High Street, Suite B4, Buffalo, NY 14203, USA; Department of Neurosurgery, Gates Vascular Institute, Kaleida Health, Buffalo, NY, USA. Electronic address: asonig@ubns.com. 9. Department of Neurosurgery, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, 100 High Street, Suite B4, Buffalo, NY 14203, USA; Department of Biomedical Engineering, University at Buffalo, Buffalo, NY, USA; Department of Pathology and Anatomical Sciences, University at Buffalo, State University of New York, Buffalo, NY, USA; Canon Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY USA. Electronic address: vincentt@buffalo.edu. 10. Department of Neurosurgery, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, 100 High Street, Suite B4, Buffalo, NY 14203, USA; Department of Neurosurgery, Gates Vascular Institute, Kaleida Health, Buffalo, NY, USA. Electronic address: falmayman@ubns.com. 11. Department of Neurosurgery, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, 100 High Street, Suite B4, Buffalo, NY 14203, USA; Department of Neurosurgery, Gates Vascular Institute, Kaleida Health, Buffalo, NY, USA; Canon Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY USA; Department of Bioinformatics, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA. 12. Department of Neurosurgery, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, 100 High Street, Suite B4, Buffalo, NY 14203, USA; Department of Neurosurgery, Gates Vascular Institute, Kaleida Health, Buffalo, NY, USA; Canon Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY USA. Electronic address: ksnyder@ubns.com. 13. Department of Neurosurgery, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, 100 High Street, Suite B4, Buffalo, NY 14203, USA; Department of Neurosurgery, Gates Vascular Institute, Kaleida Health, Buffalo, NY, USA; Canon Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY USA; Department of Radiology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA. Electronic address: asiddiqui@ubns.com. 14. Department of Neurosurgery, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, 100 High Street, Suite B4, Buffalo, NY 14203, USA; Department of Neurosurgery, Gates Vascular Institute, Kaleida Health, Buffalo, NY, USA; Canon Stroke and Vascular Research Center, University at Buffalo, Buffalo, NY USA; Department of Radiology, Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, Buffalo, NY, USA. Electronic address: elevy@ubns.com.
Abstract
OBJECTIVES: Cost-effectiveness of endovascular therapy (EVT) is a key consideration for broad use of this approach for emergent large vessel occlusion stroke. We evaluated the evidence on cost-effectiveness of EVT in comparison with best medical management from a global perspective. MATERIALS AND METHODS: This systematic review of studies published between January 2010 and May 2020 evaluated the cost effectiveness of EVT for patients with large vessel occlusion acute ischemic stroke. The gain in quality adjusted life year (QALY) and incremental cost-effectiveness ratio (ICER), expressed as cost per QALY resulting from EVT, were recorded. The study setting (country, economic perspective), decision model, and data sources used in economic models of EVT cost-effectiveness were recorded. RESULTS: Twenty-five original studies from 12 different countries were included in our review. Five of these studies were reported from a societal perspective; 18 were reported from a healthcare system perspective. Two studies used real-world data. The time horizon varied from 1 year to a lifetime; however, 18 studies reported a time horizon of >10 years. Twenty studies reported using outcome data from randomized, controlled clinical trials for their models. Nineteen studies reported using a Markov model. Incremental QALYs ranged from 0.09-3.5. All studies but 1 reported that EVT was cost-effective. CONCLUSIONS: Evidence from different countries and economic perspectives suggests that EVT for stroke treatment is cost-effective. Most cost-effectiveness studies are based on outcome data from randomized clinical trials. However, there is a need to study the cost-effectiveness of EVT based solely on real-world outcome data.
OBJECTIVES: Cost-effectiveness of endovascular therapy (EVT) is a key consideration for broad use of this approach for emergent large vessel occlusion stroke. We evaluated the evidence on cost-effectiveness of EVT in comparison with best medical management from a global perspective. MATERIALS AND METHODS: This systematic review of studies published between January 2010 and May 2020 evaluated the cost effectiveness of EVT for patients with large vessel occlusion acute ischemic stroke. The gain in quality adjusted life year (QALY) and incremental cost-effectiveness ratio (ICER), expressed as cost per QALY resulting from EVT, were recorded. The study setting (country, economic perspective), decision model, and data sources used in economic models of EVT cost-effectiveness were recorded. RESULTS: Twenty-five original studies from 12 different countries were included in our review. Five of these studies were reported from a societal perspective; 18 were reported from a healthcare system perspective. Two studies used real-world data. The time horizon varied from 1 year to a lifetime; however, 18 studies reported a time horizon of >10 years. Twenty studies reported using outcome data from randomized, controlled clinical trials for their models. Nineteen studies reported using a Markov model. Incremental QALYs ranged from 0.09-3.5. All studies but 1 reported that EVT was cost-effective. CONCLUSIONS: Evidence from different countries and economic perspectives suggests that EVT for stroke treatment is cost-effective. Most cost-effectiveness studies are based on outcome data from randomized clinical trials. However, there is a need to study the cost-effectiveness of EVT based solely on real-world outcome data.