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Cost–utility analysis of focal high‐intensity focussed ultrasound vs active surveillance for low‐ to intermediate‐risk prostate cancer using a Markov multi‐state model

Objectives To estimate the relative cost‐effectiveness of focal high‐intensity focussed ultrasound (F‐HIFU) compared to active surveillance (AS) in patients with low‐ to intermediate‐risk prostate cancer, in France. Patients and Methods A Markov multi‐state model was elaborated for this purpose. Our...

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Published in:BJU international 2019-12, Vol.124 (6), p.962-971
Main Authors: Bénard, Antoine, Duroux, Thomas, Robert, Grégoire
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description Objectives To estimate the relative cost‐effectiveness of focal high‐intensity focussed ultrasound (F‐HIFU) compared to active surveillance (AS) in patients with low‐ to intermediate‐risk prostate cancer, in France. Patients and Methods A Markov multi‐state model was elaborated for this purpose. Our analyses were conducted from the French National Health Insurance perspective, with a time horizon of 10 years and a 4% discount rate for cost and effectiveness. A secondary analysis used a 30‐year time horizon. Costs are presented in 2016 Euros (€), and effectiveness is expressed as quality‐adjusted life years (QALYs). Model parameters’ value (probabilities for transitions between health states, and cost and utility of health states) is supported by systematic literature reviews (PubMed) and random effect meta‐analyses. The cost of F‐HIFU in our model was the temporary tariff attributed by the French Ministry of Health to the overall treatment of prostate cancer by HIFU (€6047). Our model was analysed using Microsoft Excel 2010 (Microsoft Corp., Redmond, WA, USA). Uncertainty about the value of the model parameters was handled through probabilistic analyses. Results The five health states of our model were as follows: initial state (AS or F‐HIFU), radical prostatectomy, radiation therapy, metastasis, and death. Transition probabilities from the initial F‐HIFU state relied on four articles eligible for our meta‐analyses. All were non‐comparative studies. Utilities relied on a single cohort in San Diego, CA, USA. For a fictive cohort of 1000 individuals followed for 10 years, F‐HIFU would be €207 520 more costly and would yield 382 less QALYs than AS, which means that AS is cost‐effective when compared to F‐HIFU. For a threshold value varying from €0 to 100 000/QALY, the probability of AS being cost‐effective compared to F‐HIFU varied from 56.5% to 60%. This level of uncertainty was in the same range with a 30‐year time horizon. Conclusion Given existing published data, our results suggest that AS is cost‐effective compared to F‐HIFU in patients with low‐ and intermediate‐risk prostate cancer, but with high uncertainty. This uncertainty must be scaled down by continuing to supply the model with new published data and ideally through a randomised clinical trial that includes cost‐effectiveness analyses.
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Patients and Methods A Markov multi‐state model was elaborated for this purpose. Our analyses were conducted from the French National Health Insurance perspective, with a time horizon of 10 years and a 4% discount rate for cost and effectiveness. A secondary analysis used a 30‐year time horizon. Costs are presented in 2016 Euros (€), and effectiveness is expressed as quality‐adjusted life years (QALYs). Model parameters’ value (probabilities for transitions between health states, and cost and utility of health states) is supported by systematic literature reviews (PubMed) and random effect meta‐analyses. The cost of F‐HIFU in our model was the temporary tariff attributed by the French Ministry of Health to the overall treatment of prostate cancer by HIFU (€6047). Our model was analysed using Microsoft Excel 2010 (Microsoft Corp., Redmond, WA, USA). Uncertainty about the value of the model parameters was handled through probabilistic analyses. Results The five health states of our model were as follows: initial state (AS or F‐HIFU), radical prostatectomy, radiation therapy, metastasis, and death. Transition probabilities from the initial F‐HIFU state relied on four articles eligible for our meta‐analyses. All were non‐comparative studies. Utilities relied on a single cohort in San Diego, CA, USA. For a fictive cohort of 1000 individuals followed for 10 years, F‐HIFU would be €207 520 more costly and would yield 382 less QALYs than AS, which means that AS is cost‐effective when compared to F‐HIFU. For a threshold value varying from €0 to 100 000/QALY, the probability of AS being cost‐effective compared to F‐HIFU varied from 56.5% to 60%. This level of uncertainty was in the same range with a 30‐year time horizon. Conclusion Given existing published data, our results suggest that AS is cost‐effective compared to F‐HIFU in patients with low‐ and intermediate‐risk prostate cancer, but with high uncertainty. This uncertainty must be scaled down by continuing to supply the model with new published data and ideally through a randomised clinical trial that includes cost‐effectiveness analyses.</description><identifier>ISSN: 1464-4096</identifier><identifier>EISSN: 1464-410X</identifier><identifier>DOI: 10.1111/bju.14867</identifier><identifier>PMID: 31298775</identifier><language>eng</language><publisher>England: Wiley Subscription Services, Inc</publisher><subject>active surveillance ; Cancer surgery ; Cancer therapies ; cost‐utility ; decision analysis ; focal therapy ; high intensity focused ultrasound ; Literature reviews ; Metastases ; Patients ; PCSM ; Prostate Cancer ; Prostatectomy ; Radiation therapy ; Surveillance ; Ultrasonic imaging ; Ultrasound ; Urological surgery</subject><ispartof>BJU international, 2019-12, Vol.124 (6), p.962-971</ispartof><rights>2019 The Authors BJU International © 2019 BJU International Published by John Wiley &amp; Sons Ltd</rights><rights>2019 The Authors BJU International © 2019 BJU International Published by John Wiley &amp; Sons Ltd.</rights><rights>BJUI © 2019 BJU International</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c3537-edcba93ba7ea8911c48f8708deb7988d386bc53997786a749b9ff5bc7ed97a043</citedby><cites>FETCH-LOGICAL-c3537-edcba93ba7ea8911c48f8708deb7988d386bc53997786a749b9ff5bc7ed97a043</cites><orcidid>0000-0003-2289-8096</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/31298775$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Bénard, Antoine</creatorcontrib><creatorcontrib>Duroux, Thomas</creatorcontrib><creatorcontrib>Robert, Grégoire</creatorcontrib><title>Cost–utility analysis of focal high‐intensity focussed ultrasound vs active surveillance for low‐ to intermediate‐risk prostate cancer using a Markov multi‐state model</title><title>BJU international</title><addtitle>BJU Int</addtitle><description>Objectives To estimate the relative cost‐effectiveness of focal high‐intensity focussed ultrasound (F‐HIFU) compared to active surveillance (AS) in patients with low‐ to intermediate‐risk prostate cancer, in France. Patients and Methods A Markov multi‐state model was elaborated for this purpose. Our analyses were conducted from the French National Health Insurance perspective, with a time horizon of 10 years and a 4% discount rate for cost and effectiveness. A secondary analysis used a 30‐year time horizon. Costs are presented in 2016 Euros (€), and effectiveness is expressed as quality‐adjusted life years (QALYs). Model parameters’ value (probabilities for transitions between health states, and cost and utility of health states) is supported by systematic literature reviews (PubMed) and random effect meta‐analyses. The cost of F‐HIFU in our model was the temporary tariff attributed by the French Ministry of Health to the overall treatment of prostate cancer by HIFU (€6047). Our model was analysed using Microsoft Excel 2010 (Microsoft Corp., Redmond, WA, USA). Uncertainty about the value of the model parameters was handled through probabilistic analyses. Results The five health states of our model were as follows: initial state (AS or F‐HIFU), radical prostatectomy, radiation therapy, metastasis, and death. Transition probabilities from the initial F‐HIFU state relied on four articles eligible for our meta‐analyses. All were non‐comparative studies. Utilities relied on a single cohort in San Diego, CA, USA. For a fictive cohort of 1000 individuals followed for 10 years, F‐HIFU would be €207 520 more costly and would yield 382 less QALYs than AS, which means that AS is cost‐effective when compared to F‐HIFU. For a threshold value varying from €0 to 100 000/QALY, the probability of AS being cost‐effective compared to F‐HIFU varied from 56.5% to 60%. This level of uncertainty was in the same range with a 30‐year time horizon. Conclusion Given existing published data, our results suggest that AS is cost‐effective compared to F‐HIFU in patients with low‐ and intermediate‐risk prostate cancer, but with high uncertainty. This uncertainty must be scaled down by continuing to supply the model with new published data and ideally through a randomised clinical trial that includes cost‐effectiveness analyses.</description><subject>active surveillance</subject><subject>Cancer surgery</subject><subject>Cancer therapies</subject><subject>cost‐utility</subject><subject>decision analysis</subject><subject>focal therapy</subject><subject>high intensity focused ultrasound</subject><subject>Literature reviews</subject><subject>Metastases</subject><subject>Patients</subject><subject>PCSM</subject><subject>Prostate Cancer</subject><subject>Prostatectomy</subject><subject>Radiation therapy</subject><subject>Surveillance</subject><subject>Ultrasonic imaging</subject><subject>Ultrasound</subject><subject>Urological surgery</subject><issn>1464-4096</issn><issn>1464-410X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><recordid>eNp1kc1u1DAQxy0Eoh9w4AWQJS5w2NZeJ7F9pCs-ilr1QiVukeM4rbdOXDzxVnvrI1TiSXilPkknpOWAhC_2jH7zH8_8CXnD2QHHc9is8wEvVCWfkV1eVMWi4OzH86c309UO2QNYM4aJqnxJdgRfaiVluUt-ryKM97e_8uiDH7fUDCZswQONHe2iNYFe-ovL-9s7P4xugAnBdAZwLc1hTAZiHlq6AWrs6DeOQk4b50Mwg3WIJhriDZbTMdJJIvWu9WZ0mEoeruh1wv4YUzsVJJrBDxfU0FOTruKG9tjDIzszfWxdeEVedCaAe_1475Pzz5--r74uTs6-HK8-niysKIVcuNY2RovGSGeU5twWqlOSqdY1UivVClU1thRaS6kqIwvd6K4rGytdq6Vhhdgn72dd_OLP7GCsew_WTZO5mKFeLkspGZdLjui7f9B1zAk3iZTguGelSoHUh5myODMk19XXyfcmbWvO6snHGn2s__iI7NtHxdzgxv6ST8YhcDgDNz647f-V6qNv57PkAwASsRg</recordid><startdate>201912</startdate><enddate>201912</enddate><creator>Bénard, Antoine</creator><creator>Duroux, Thomas</creator><creator>Robert, Grégoire</creator><general>Wiley Subscription Services, Inc</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QP</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0003-2289-8096</orcidid></search><sort><creationdate>201912</creationdate><title>Cost–utility analysis of focal high‐intensity focussed ultrasound vs active surveillance for low‐ to intermediate‐risk prostate cancer using a Markov multi‐state model</title><author>Bénard, Antoine ; Duroux, Thomas ; Robert, Grégoire</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3537-edcba93ba7ea8911c48f8708deb7988d386bc53997786a749b9ff5bc7ed97a043</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2019</creationdate><topic>active surveillance</topic><topic>Cancer surgery</topic><topic>Cancer therapies</topic><topic>cost‐utility</topic><topic>decision analysis</topic><topic>focal therapy</topic><topic>high intensity focused ultrasound</topic><topic>Literature reviews</topic><topic>Metastases</topic><topic>Patients</topic><topic>PCSM</topic><topic>Prostate Cancer</topic><topic>Prostatectomy</topic><topic>Radiation therapy</topic><topic>Surveillance</topic><topic>Ultrasonic imaging</topic><topic>Ultrasound</topic><topic>Urological surgery</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bénard, Antoine</creatorcontrib><creatorcontrib>Duroux, Thomas</creatorcontrib><creatorcontrib>Robert, Grégoire</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Calcium &amp; Calcified Tissue Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>BJU international</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bénard, Antoine</au><au>Duroux, Thomas</au><au>Robert, Grégoire</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cost–utility analysis of focal high‐intensity focussed ultrasound vs active surveillance for low‐ to intermediate‐risk prostate cancer using a Markov multi‐state model</atitle><jtitle>BJU international</jtitle><addtitle>BJU Int</addtitle><date>2019-12</date><risdate>2019</risdate><volume>124</volume><issue>6</issue><spage>962</spage><epage>971</epage><pages>962-971</pages><issn>1464-4096</issn><eissn>1464-410X</eissn><abstract>Objectives To estimate the relative cost‐effectiveness of focal high‐intensity focussed ultrasound (F‐HIFU) compared to active surveillance (AS) in patients with low‐ to intermediate‐risk prostate cancer, in France. Patients and Methods A Markov multi‐state model was elaborated for this purpose. Our analyses were conducted from the French National Health Insurance perspective, with a time horizon of 10 years and a 4% discount rate for cost and effectiveness. A secondary analysis used a 30‐year time horizon. Costs are presented in 2016 Euros (€), and effectiveness is expressed as quality‐adjusted life years (QALYs). Model parameters’ value (probabilities for transitions between health states, and cost and utility of health states) is supported by systematic literature reviews (PubMed) and random effect meta‐analyses. The cost of F‐HIFU in our model was the temporary tariff attributed by the French Ministry of Health to the overall treatment of prostate cancer by HIFU (€6047). Our model was analysed using Microsoft Excel 2010 (Microsoft Corp., Redmond, WA, USA). Uncertainty about the value of the model parameters was handled through probabilistic analyses. Results The five health states of our model were as follows: initial state (AS or F‐HIFU), radical prostatectomy, radiation therapy, metastasis, and death. Transition probabilities from the initial F‐HIFU state relied on four articles eligible for our meta‐analyses. All were non‐comparative studies. Utilities relied on a single cohort in San Diego, CA, USA. For a fictive cohort of 1000 individuals followed for 10 years, F‐HIFU would be €207 520 more costly and would yield 382 less QALYs than AS, which means that AS is cost‐effective when compared to F‐HIFU. For a threshold value varying from €0 to 100 000/QALY, the probability of AS being cost‐effective compared to F‐HIFU varied from 56.5% to 60%. This level of uncertainty was in the same range with a 30‐year time horizon. Conclusion Given existing published data, our results suggest that AS is cost‐effective compared to F‐HIFU in patients with low‐ and intermediate‐risk prostate cancer, but with high uncertainty. This uncertainty must be scaled down by continuing to supply the model with new published data and ideally through a randomised clinical trial that includes cost‐effectiveness analyses.</abstract><cop>England</cop><pub>Wiley Subscription Services, Inc</pub><pmid>31298775</pmid><doi>10.1111/bju.14867</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0003-2289-8096</orcidid></addata></record>
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source Wiley-Blackwell Read & Publish Collection
subjects active surveillance
Cancer surgery
Cancer therapies
cost‐utility
decision analysis
focal therapy
high intensity focused ultrasound
Literature reviews
Metastases
Patients
PCSM
Prostate Cancer
Prostatectomy
Radiation therapy
Surveillance
Ultrasonic imaging
Ultrasound
Urological surgery
title Cost–utility analysis of focal high‐intensity focussed ultrasound vs active surveillance for low‐ to intermediate‐risk prostate cancer using a Markov multi‐state model
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