A Comparison Of Markov Cohort And Discrete Event Simulation Models In Cost-Effectiveness Analysis Of Sorafenib And Everolimus In 3rd Line Metastatic Renal-Cell Carcinoma In The Czech Republic
OBJECTIVES: Markov cohort (MC) and discrete-event simulation (DES) models are inherently different. Therefore, they are rarely used in economic evaluation of the same disease. Sorafenib and everolimus are cornerstones of current metastatic renal-cell carcinoma (mRCC) treatment in 2nd line, however,...
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description | OBJECTIVES: Markov cohort (MC) and discrete-event simulation (DES) models are inherently different. Therefore, they are rarely used in economic evaluation of the same disease. Sorafenib and everolimus are cornerstones of current metastatic renal-cell carcinoma (mRCC) treatment in 2nd line, however, there are limited effectiveness/efficacy and cost-effectiveness studies in 3rd line. The first objective was to compare MC and DES models in oncology, and the second to assess the cost-effectiveness of sorafenib versus everolimus in 3rd line mRCC. METHODS: We developed two mirror life-time cost-utility models using a) Markovian and b) DES approaches, which projected quality-adjusted life-years (QALYs) and costs from healthcare payers' perspective. In MC, we used weekly cycle length and three states, i.e. progression-free, progression, death. In DES, there were progression/death events instead of states. Transition probabilities, utilities and costs were derived from published literature/sources. Costs and outcomes were discounted by 3%. Probabilistic sensitivity analysis (PSA; 10,000 simulations) was performed with Czech willingness-to-pay threshold (WTP) equal to 645,000. RESULTS: Over a lifetime horizon, sorafenib is less costly but also slightly less effective than everolimus. In MC, sorafenib is less costly by €2,045 (€11,558 vs. €13,603) and slightly less effective by 0.0028 QALYs (0.7815 vs. 0.7843). In DES, sorafenib is less costly by €2,320 (€11,326 vs. €13,646) and slightly less effective by 0.0027 QALYs (0.7927 vs. 0.7954). The ICERs, expressed as savings per QALY lost, are equal to €792,646 (MC) and €874,585 (DES). The results of PSA showed that sorafenib is cost-effective with probability of 95% (MC) and 85% (DES) at the WTR CONCLUSIONS: Despite their differences, MC and DES models yields almost identical results in simple oncologic model. The slight disparity might be due to computational differences, half-cycle correction or cycle length. Finally, sorafenib clearly proved that it is a cost-effective intervention in 3rd line therapy of mRCC. |
doi_str_mv | 10.1016/j.jval.2017.08.2108 |
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Therefore, they are rarely used in economic evaluation of the same disease. Sorafenib and everolimus are cornerstones of current metastatic renal-cell carcinoma (mRCC) treatment in 2nd line, however, there are limited effectiveness/efficacy and cost-effectiveness studies in 3rd line. The first objective was to compare MC and DES models in oncology, and the second to assess the cost-effectiveness of sorafenib versus everolimus in 3rd line mRCC. METHODS: We developed two mirror life-time cost-utility models using a) Markovian and b) DES approaches, which projected quality-adjusted life-years (QALYs) and costs from healthcare payers' perspective. In MC, we used weekly cycle length and three states, i.e. progression-free, progression, death. In DES, there were progression/death events instead of states. Transition probabilities, utilities and costs were derived from published literature/sources. Costs and outcomes were discounted by 3%. Probabilistic sensitivity analysis (PSA; 10,000 simulations) was performed with Czech willingness-to-pay threshold (WTP) equal to 645,000. RESULTS: Over a lifetime horizon, sorafenib is less costly but also slightly less effective than everolimus. In MC, sorafenib is less costly by €2,045 (€11,558 vs. €13,603) and slightly less effective by 0.0028 QALYs (0.7815 vs. 0.7843). In DES, sorafenib is less costly by €2,320 (€11,326 vs. €13,646) and slightly less effective by 0.0027 QALYs (0.7927 vs. 0.7954). The ICERs, expressed as savings per QALY lost, are equal to €792,646 (MC) and €874,585 (DES). The results of PSA showed that sorafenib is cost-effective with probability of 95% (MC) and 85% (DES) at the WTR CONCLUSIONS: Despite their differences, MC and DES models yields almost identical results in simple oncologic model. The slight disparity might be due to computational differences, half-cycle correction or cycle length. Finally, sorafenib clearly proved that it is a cost-effective intervention in 3rd line therapy of mRCC.</description><identifier>ISSN: 1098-3015</identifier><identifier>EISSN: 1524-4733</identifier><identifier>DOI: 10.1016/j.jval.2017.08.2108</identifier><language>eng</language><publisher>Lawrenceville: Elsevier Science Ltd</publisher><subject>Cancer ; Cohort analysis ; Comparable worth ; Computer applications ; Cost analysis ; Death & dying ; Efficacy ; Health care ; Kidney cancer ; Kidney diseases ; Markov analysis ; Metastases ; Metastasis ; Oncology ; Quality adjusted life years ; Renal cell carcinoma ; Savings ; Sensitivity analysis ; Simulation ; Targeted cancer therapy ; Willingness to pay</subject><ispartof>Value in health, 2017-10, Vol.20 (9), p.A752-A753</ispartof><rights>Copyright Elsevier Science Ltd. Oct/Nov 2017</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925,30999</link.rule.ids></links><search><creatorcontrib>Mlcoch, T</creatorcontrib><creatorcontrib>Lamblova, K</creatorcontrib><creatorcontrib>Ornstova, E</creatorcontrib><creatorcontrib>Dolezal, T</creatorcontrib><title>A Comparison Of Markov Cohort And Discrete Event Simulation Models In Cost-Effectiveness Analysis Of Sorafenib And Everolimus In 3rd Line Metastatic Renal-Cell Carcinoma In The Czech Republic</title><title>Value in health</title><description>OBJECTIVES: Markov cohort (MC) and discrete-event simulation (DES) models are inherently different. Therefore, they are rarely used in economic evaluation of the same disease. Sorafenib and everolimus are cornerstones of current metastatic renal-cell carcinoma (mRCC) treatment in 2nd line, however, there are limited effectiveness/efficacy and cost-effectiveness studies in 3rd line. The first objective was to compare MC and DES models in oncology, and the second to assess the cost-effectiveness of sorafenib versus everolimus in 3rd line mRCC. METHODS: We developed two mirror life-time cost-utility models using a) Markovian and b) DES approaches, which projected quality-adjusted life-years (QALYs) and costs from healthcare payers' perspective. In MC, we used weekly cycle length and three states, i.e. progression-free, progression, death. In DES, there were progression/death events instead of states. Transition probabilities, utilities and costs were derived from published literature/sources. Costs and outcomes were discounted by 3%. Probabilistic sensitivity analysis (PSA; 10,000 simulations) was performed with Czech willingness-to-pay threshold (WTP) equal to 645,000. RESULTS: Over a lifetime horizon, sorafenib is less costly but also slightly less effective than everolimus. In MC, sorafenib is less costly by €2,045 (€11,558 vs. €13,603) and slightly less effective by 0.0028 QALYs (0.7815 vs. 0.7843). In DES, sorafenib is less costly by €2,320 (€11,326 vs. €13,646) and slightly less effective by 0.0027 QALYs (0.7927 vs. 0.7954). The ICERs, expressed as savings per QALY lost, are equal to €792,646 (MC) and €874,585 (DES). The results of PSA showed that sorafenib is cost-effective with probability of 95% (MC) and 85% (DES) at the WTR CONCLUSIONS: Despite their differences, MC and DES models yields almost identical results in simple oncologic model. The slight disparity might be due to computational differences, half-cycle correction or cycle length. Finally, sorafenib clearly proved that it is a cost-effective intervention in 3rd line therapy of mRCC.</description><subject>Cancer</subject><subject>Cohort analysis</subject><subject>Comparable worth</subject><subject>Computer applications</subject><subject>Cost analysis</subject><subject>Death & dying</subject><subject>Efficacy</subject><subject>Health care</subject><subject>Kidney cancer</subject><subject>Kidney diseases</subject><subject>Markov analysis</subject><subject>Metastases</subject><subject>Metastasis</subject><subject>Oncology</subject><subject>Quality adjusted life years</subject><subject>Renal cell carcinoma</subject><subject>Savings</subject><subject>Sensitivity analysis</subject><subject>Simulation</subject><subject>Targeted cancer therapy</subject><subject>Willingness to pay</subject><issn>1098-3015</issn><issn>1524-4733</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>7QJ</sourceid><recordid>eNotkd1q3DAQRk1ooWnaJ-iNoNd2NPKP5MvF3TaBXQJNei1kecTK0VpbSbuQvlxfrXLSKw3ifIdhvqL4ArQCCt3tXM0X5SpGgVdUVAyouCquoWVN2fC6fpdn2ouyptB-KD7GOFNKu5q118XfDRn88aSCjX4hD4bsVXj2l_x58CGRzTKRbzbqgAnJ9oJLIo_2eHYq2Yzv_YQukvsl4zGVW2NQJ5spjDFHlXuJNq7SRx-UwcWOr8LsCd5lzWu0DhPZ2QXJHpOKKZs1-Yk5XA7oHBlU0HbxR7WyTwckwx_Uh0yczqOz-lPx3igX8fP_96b49X37NNyVu4cf98NmV2oALkqmAMex70AwMMA5ItdTpwynE7Cp6Xsx6Qa6ZuxgFEoLJaZ2ao3pxn7MlzP1TfH1zXsK_vcZY5KzP4e8ZZQMoOaMM-CZqt8oHXyMAY08BXtU4UUClWtTcpZrU3JtSlIh16bqfxIfihw</recordid><startdate>201710</startdate><enddate>201710</enddate><creator>Mlcoch, T</creator><creator>Lamblova, K</creator><creator>Ornstova, E</creator><creator>Dolezal, T</creator><general>Elsevier Science Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7QJ</scope></search><sort><creationdate>201710</creationdate><title>A Comparison Of Markov Cohort And Discrete Event Simulation Models In Cost-Effectiveness Analysis Of Sorafenib And Everolimus In 3rd Line Metastatic Renal-Cell Carcinoma In The Czech Republic</title><author>Mlcoch, T ; Lamblova, K ; Ornstova, E ; Dolezal, T</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c1178-2a1ebb961821f177ee7cd6af70d12d4998dc4164b61b8ac8a8d5d5ff6b9b098f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Cancer</topic><topic>Cohort analysis</topic><topic>Comparable worth</topic><topic>Computer applications</topic><topic>Cost analysis</topic><topic>Death & dying</topic><topic>Efficacy</topic><topic>Health care</topic><topic>Kidney cancer</topic><topic>Kidney diseases</topic><topic>Markov analysis</topic><topic>Metastases</topic><topic>Metastasis</topic><topic>Oncology</topic><topic>Quality adjusted life years</topic><topic>Renal cell carcinoma</topic><topic>Savings</topic><topic>Sensitivity analysis</topic><topic>Simulation</topic><topic>Targeted cancer therapy</topic><topic>Willingness to pay</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Mlcoch, T</creatorcontrib><creatorcontrib>Lamblova, K</creatorcontrib><creatorcontrib>Ornstova, E</creatorcontrib><creatorcontrib>Dolezal, T</creatorcontrib><collection>CrossRef</collection><collection>Applied Social Sciences Index & Abstracts (ASSIA)</collection><jtitle>Value in health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Mlcoch, T</au><au>Lamblova, K</au><au>Ornstova, E</au><au>Dolezal, T</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Comparison Of Markov Cohort And Discrete Event Simulation Models In Cost-Effectiveness Analysis Of Sorafenib And Everolimus In 3rd Line Metastatic Renal-Cell Carcinoma In The Czech Republic</atitle><jtitle>Value in health</jtitle><date>2017-10</date><risdate>2017</risdate><volume>20</volume><issue>9</issue><spage>A752</spage><epage>A753</epage><pages>A752-A753</pages><issn>1098-3015</issn><eissn>1524-4733</eissn><abstract>OBJECTIVES: Markov cohort (MC) and discrete-event simulation (DES) models are inherently different. Therefore, they are rarely used in economic evaluation of the same disease. Sorafenib and everolimus are cornerstones of current metastatic renal-cell carcinoma (mRCC) treatment in 2nd line, however, there are limited effectiveness/efficacy and cost-effectiveness studies in 3rd line. The first objective was to compare MC and DES models in oncology, and the second to assess the cost-effectiveness of sorafenib versus everolimus in 3rd line mRCC. METHODS: We developed two mirror life-time cost-utility models using a) Markovian and b) DES approaches, which projected quality-adjusted life-years (QALYs) and costs from healthcare payers' perspective. In MC, we used weekly cycle length and three states, i.e. progression-free, progression, death. In DES, there were progression/death events instead of states. Transition probabilities, utilities and costs were derived from published literature/sources. Costs and outcomes were discounted by 3%. Probabilistic sensitivity analysis (PSA; 10,000 simulations) was performed with Czech willingness-to-pay threshold (WTP) equal to 645,000. RESULTS: Over a lifetime horizon, sorafenib is less costly but also slightly less effective than everolimus. In MC, sorafenib is less costly by €2,045 (€11,558 vs. €13,603) and slightly less effective by 0.0028 QALYs (0.7815 vs. 0.7843). In DES, sorafenib is less costly by €2,320 (€11,326 vs. €13,646) and slightly less effective by 0.0027 QALYs (0.7927 vs. 0.7954). The ICERs, expressed as savings per QALY lost, are equal to €792,646 (MC) and €874,585 (DES). The results of PSA showed that sorafenib is cost-effective with probability of 95% (MC) and 85% (DES) at the WTR CONCLUSIONS: Despite their differences, MC and DES models yields almost identical results in simple oncologic model. The slight disparity might be due to computational differences, half-cycle correction or cycle length. Finally, sorafenib clearly proved that it is a cost-effective intervention in 3rd line therapy of mRCC.</abstract><cop>Lawrenceville</cop><pub>Elsevier Science Ltd</pub><doi>10.1016/j.jval.2017.08.2108</doi><oa>free_for_read</oa></addata></record> |
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subjects | Cancer Cohort analysis Comparable worth Computer applications Cost analysis Death & dying Efficacy Health care Kidney cancer Kidney diseases Markov analysis Metastases Metastasis Oncology Quality adjusted life years Renal cell carcinoma Savings Sensitivity analysis Simulation Targeted cancer therapy Willingness to pay |
title | A Comparison Of Markov Cohort And Discrete Event Simulation Models In Cost-Effectiveness Analysis Of Sorafenib And Everolimus In 3rd Line Metastatic Renal-Cell Carcinoma In The Czech Republic |
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