Chenxia Xu, Jie Zhuang, Jianrong Shen, Hong Sun, Jiaqin Cai, Xiaoxia Wei
{"title":"中国和美国奥拉帕尼辅助靶向治疗BRCA突变her2阴性早期乳腺癌的成本-效用分析","authors":"Chenxia Xu, Jie Zhuang, Jianrong Shen, Hong Sun, Jiaqin Cai, Xiaoxia Wei","doi":"10.1186/s12962-025-00617-9","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Olaparib, an inhibitor of poly (ADP-ribose) polymerase (PARP), has demonstrated promising outcomes in treating HER2-negative early-stage breast cancer with BRCA mutations. However, a comprehensive evaluation of its cost-effectiveness in the context of the United States and China has yet to be undertaken. This study seeks to fill this research void by performing a thorough cost-utility analysis.</p><p><strong>Methods: </strong>This investigation takes as its foundation the findings from the OlympiA trial. We obtained survival curves from this trial and used the Weibull distribution function to calculate transition probabilities. Relevant literature provided the necessary data on costs, utility values, and discount rates applicable to both the United States and China. We utilized TreeAge software to construct Markov models for each country, simulating the progression of early-stage breast cancer. These models underwent extensive examination through multi-way analysis, cost-utility analysis, Monte Carlo simulations, one-way and two-way sensitivity analyses, as well as probabilistic sensitivity analysis.</p><p><strong>Results: </strong>The cost-utility analysis of the Chinese Markov model revealed that the total expenditure for the Olaparib cohort amounted to 384,274.75 RMB, generating 6.41 QALYs. Conversely, the placebo group incurred a total cost of 60,264.10 RMB, resulting in 6.34 QALYs. The Incremental Cost-Utility Ratio (ICUR) between the two cohorts stood at 5,007,332.36 RMB/QALY, which is significantly higher than thrice the Gross Domestic Product (GDP) per capita of China in 2022, set at 257,094 RMB. As for the U.S. model, the Olaparib group had a total expenditure of 245,604.01 USD, yielding 7.53 QALYs, while the placebo cohort had a total cost of 93,019.92 USD, generating 7.45 QALYs. The ICUR for the two groups was calculated at 1,891,974.19 USD/QALY, substantially surpassing the U.S. Willingness-To-Pay (WTP) threshold of 150,000 USD/QALY.</p><p><strong>Conclusions: </strong>When evaluated in the context of healthcare economics in both China and the United States, the implementation of an Olaparib-based treatment strategy for early-stage HER2-negative breast cancer with BRCA mutations does not present a cost-effective solution in either nation.</p>","PeriodicalId":47054,"journal":{"name":"Cost Effectiveness and Resource Allocation","volume":"23 1","pages":"16"},"PeriodicalIF":1.7000,"publicationDate":"2025-04-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11993938/pdf/","citationCount":"0","resultStr":"{\"title\":\"Cost-utility analysis of olaparib assisted targeted therapy for BRCA mutation HER2-negative early breast cancer in China and in the United States.\",\"authors\":\"Chenxia Xu, Jie Zhuang, Jianrong Shen, Hong Sun, Jiaqin Cai, Xiaoxia Wei\",\"doi\":\"10.1186/s12962-025-00617-9\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Olaparib, an inhibitor of poly (ADP-ribose) polymerase (PARP), has demonstrated promising outcomes in treating HER2-negative early-stage breast cancer with BRCA mutations. However, a comprehensive evaluation of its cost-effectiveness in the context of the United States and China has yet to be undertaken. This study seeks to fill this research void by performing a thorough cost-utility analysis.</p><p><strong>Methods: </strong>This investigation takes as its foundation the findings from the OlympiA trial. We obtained survival curves from this trial and used the Weibull distribution function to calculate transition probabilities. Relevant literature provided the necessary data on costs, utility values, and discount rates applicable to both the United States and China. We utilized TreeAge software to construct Markov models for each country, simulating the progression of early-stage breast cancer. These models underwent extensive examination through multi-way analysis, cost-utility analysis, Monte Carlo simulations, one-way and two-way sensitivity analyses, as well as probabilistic sensitivity analysis.</p><p><strong>Results: </strong>The cost-utility analysis of the Chinese Markov model revealed that the total expenditure for the Olaparib cohort amounted to 384,274.75 RMB, generating 6.41 QALYs. Conversely, the placebo group incurred a total cost of 60,264.10 RMB, resulting in 6.34 QALYs. The Incremental Cost-Utility Ratio (ICUR) between the two cohorts stood at 5,007,332.36 RMB/QALY, which is significantly higher than thrice the Gross Domestic Product (GDP) per capita of China in 2022, set at 257,094 RMB. As for the U.S. model, the Olaparib group had a total expenditure of 245,604.01 USD, yielding 7.53 QALYs, while the placebo cohort had a total cost of 93,019.92 USD, generating 7.45 QALYs. The ICUR for the two groups was calculated at 1,891,974.19 USD/QALY, substantially surpassing the U.S. Willingness-To-Pay (WTP) threshold of 150,000 USD/QALY.</p><p><strong>Conclusions: </strong>When evaluated in the context of healthcare economics in both China and the United States, the implementation of an Olaparib-based treatment strategy for early-stage HER2-negative breast cancer with BRCA mutations does not present a cost-effective solution in either nation.</p>\",\"PeriodicalId\":47054,\"journal\":{\"name\":\"Cost Effectiveness and Resource Allocation\",\"volume\":\"23 1\",\"pages\":\"16\"},\"PeriodicalIF\":1.7000,\"publicationDate\":\"2025-04-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11993938/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Cost Effectiveness and Resource Allocation\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1186/s12962-025-00617-9\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"HEALTH POLICY & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cost Effectiveness and Resource Allocation","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12962-025-00617-9","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"HEALTH POLICY & SERVICES","Score":null,"Total":0}
Cost-utility analysis of olaparib assisted targeted therapy for BRCA mutation HER2-negative early breast cancer in China and in the United States.
Background: Olaparib, an inhibitor of poly (ADP-ribose) polymerase (PARP), has demonstrated promising outcomes in treating HER2-negative early-stage breast cancer with BRCA mutations. However, a comprehensive evaluation of its cost-effectiveness in the context of the United States and China has yet to be undertaken. This study seeks to fill this research void by performing a thorough cost-utility analysis.
Methods: This investigation takes as its foundation the findings from the OlympiA trial. We obtained survival curves from this trial and used the Weibull distribution function to calculate transition probabilities. Relevant literature provided the necessary data on costs, utility values, and discount rates applicable to both the United States and China. We utilized TreeAge software to construct Markov models for each country, simulating the progression of early-stage breast cancer. These models underwent extensive examination through multi-way analysis, cost-utility analysis, Monte Carlo simulations, one-way and two-way sensitivity analyses, as well as probabilistic sensitivity analysis.
Results: The cost-utility analysis of the Chinese Markov model revealed that the total expenditure for the Olaparib cohort amounted to 384,274.75 RMB, generating 6.41 QALYs. Conversely, the placebo group incurred a total cost of 60,264.10 RMB, resulting in 6.34 QALYs. The Incremental Cost-Utility Ratio (ICUR) between the two cohorts stood at 5,007,332.36 RMB/QALY, which is significantly higher than thrice the Gross Domestic Product (GDP) per capita of China in 2022, set at 257,094 RMB. As for the U.S. model, the Olaparib group had a total expenditure of 245,604.01 USD, yielding 7.53 QALYs, while the placebo cohort had a total cost of 93,019.92 USD, generating 7.45 QALYs. The ICUR for the two groups was calculated at 1,891,974.19 USD/QALY, substantially surpassing the U.S. Willingness-To-Pay (WTP) threshold of 150,000 USD/QALY.
Conclusions: When evaluated in the context of healthcare economics in both China and the United States, the implementation of an Olaparib-based treatment strategy for early-stage HER2-negative breast cancer with BRCA mutations does not present a cost-effective solution in either nation.
期刊介绍:
Cost Effectiveness and Resource Allocation is an Open Access, peer-reviewed, online journal that considers manuscripts on all aspects of cost-effectiveness analysis, including conceptual or methodological work, economic evaluations, and policy analysis related to resource allocation at a national or international level. Cost Effectiveness and Resource Allocation is aimed at health economists, health services researchers, and policy-makers with an interest in enhancing the flow and transfer of knowledge relating to efficiency in the health sector. Manuscripts are encouraged from researchers based in low- and middle-income countries, with a view to increasing the international economic evidence base for health.