Henrique Lima Couto, Ludmila Peres Gargano, Vilmar Marques de Oliveira, Bertha Andrade Coelho, Eduardo Carvalho Pessoa, Augusto Tufi Hassan, Agnaldo Lopes Silva, Linei Augusta Brolini Delle Urban, Luciano Chala Fernandes, Nisha Sharma, Ritse Mann, Stuart A McIntosh, Fernando Zanghelini
{"title":"巴西乳腺癌筛查中数字乳腺断层成像与合成乳腺 X 线照相术的成本效益分析。","authors":"Henrique Lima Couto, Ludmila Peres Gargano, Vilmar Marques de Oliveira, Bertha Andrade Coelho, Eduardo Carvalho Pessoa, Augusto Tufi Hassan, Agnaldo Lopes Silva, Linei Augusta Brolini Delle Urban, Luciano Chala Fernandes, Nisha Sharma, Ritse Mann, Stuart A McIntosh, Fernando Zanghelini","doi":"10.1007/s41669-023-00470-7","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Literature meta-analysis results show that digital breast tomosynthesis (DBT) combined with synthesized two-dimensional (s2D) mammograms can reduce recalls and improve breast cancer detection. Uncertainty regarding the screening of patients with breast cancer presents a health economic challenge, both in terms of healthcare resource use and quality of life impact on patients.</p><p><strong>Objective: </strong>This study aims to estimate the cost effectiveness of DBT + s2D versus digital mammography (DM) used in a biennial breast cancer screening setting of women aged 40-69 years with scattered areas of fibroglandular breast density and heterogeneous dense breasts in the Brazilian supplementary health system.</p><p><strong>Methods: </strong>A cost-effectiveness analysis was performed on the basis of clinical data obtained from a systematic review with meta-analysis performed to evaluate the analytical validity and clinical utility of DBT + s2D compared with DM. The search was conducted in the PubMed, Cochrane Library and Embase databases, with the main descriptors of the technology, a comparator, and the clinical condition in question, on 9 June 2022. The hybrid economic model (decision tree plus Markov model) simulated costs and outcomes over a lifetime for women aged 40-69 years with scattered areas of fibroglandular breast density and heterogeneous dense breasts. We analyzed incremental cost-effectiveness ratio (ICER) to measure the incremental cost difference per quality-adjusted life year (QALY) of adding DBT + s2D to breast cancer screening.</p><p><strong>Results: </strong>DBT + s2D incurred a cost saving of € 954.02 per patient, in the time horizon of 30 years, compared with DM, and gained 5.1989 QALYs, which would be considered a dominant intervention. These results were confirmed in sensitivity analyses.</p><p><strong>Conclusion: </strong>Switching from DM to biennial DBT + s2D was cost effective. Furthermore, reductions in false-positive recall rates should also be considered in decision making.</p>","PeriodicalId":19770,"journal":{"name":"PharmacoEconomics Open","volume":" ","pages":"403-416"},"PeriodicalIF":2.0000,"publicationDate":"2024-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11058155/pdf/","citationCount":"0","resultStr":"{\"title\":\"Cost-Effectiveness Analysis of Digital Breast Tomosynthesis Added to Synthetic Mammography in Breast Cancer Screening in Brazil.\",\"authors\":\"Henrique Lima Couto, Ludmila Peres Gargano, Vilmar Marques de Oliveira, Bertha Andrade Coelho, Eduardo Carvalho Pessoa, Augusto Tufi Hassan, Agnaldo Lopes Silva, Linei Augusta Brolini Delle Urban, Luciano Chala Fernandes, Nisha Sharma, Ritse Mann, Stuart A McIntosh, Fernando Zanghelini\",\"doi\":\"10.1007/s41669-023-00470-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Literature meta-analysis results show that digital breast tomosynthesis (DBT) combined with synthesized two-dimensional (s2D) mammograms can reduce recalls and improve breast cancer detection. 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Cost-Effectiveness Analysis of Digital Breast Tomosynthesis Added to Synthetic Mammography in Breast Cancer Screening in Brazil.
Background: Literature meta-analysis results show that digital breast tomosynthesis (DBT) combined with synthesized two-dimensional (s2D) mammograms can reduce recalls and improve breast cancer detection. Uncertainty regarding the screening of patients with breast cancer presents a health economic challenge, both in terms of healthcare resource use and quality of life impact on patients.
Objective: This study aims to estimate the cost effectiveness of DBT + s2D versus digital mammography (DM) used in a biennial breast cancer screening setting of women aged 40-69 years with scattered areas of fibroglandular breast density and heterogeneous dense breasts in the Brazilian supplementary health system.
Methods: A cost-effectiveness analysis was performed on the basis of clinical data obtained from a systematic review with meta-analysis performed to evaluate the analytical validity and clinical utility of DBT + s2D compared with DM. The search was conducted in the PubMed, Cochrane Library and Embase databases, with the main descriptors of the technology, a comparator, and the clinical condition in question, on 9 June 2022. The hybrid economic model (decision tree plus Markov model) simulated costs and outcomes over a lifetime for women aged 40-69 years with scattered areas of fibroglandular breast density and heterogeneous dense breasts. We analyzed incremental cost-effectiveness ratio (ICER) to measure the incremental cost difference per quality-adjusted life year (QALY) of adding DBT + s2D to breast cancer screening.
Results: DBT + s2D incurred a cost saving of € 954.02 per patient, in the time horizon of 30 years, compared with DM, and gained 5.1989 QALYs, which would be considered a dominant intervention. These results were confirmed in sensitivity analyses.
Conclusion: Switching from DM to biennial DBT + s2D was cost effective. Furthermore, reductions in false-positive recall rates should also be considered in decision making.
期刊介绍：
PharmacoEconomics - Open focuses on applied research on the economic implications and health outcomes associated with drugs, devices and other healthcare interventions. The journal includes, but is not limited to, the following research areas:Economic analysis of healthcare interventionsHealth outcomes researchCost-of-illness studiesQuality-of-life studiesAdditional digital features (including animated abstracts, video abstracts, slide decks, audio slides, instructional videos, infographics, podcasts and animations) can be published with articles; these are designed to increase the visibility, readership and educational value of the journal’s content. In addition, articles published in PharmacoEconomics -Open may be accompanied by plain language summaries to assist readers who have some knowledge of, but not in-depth expertise in, the area to understand important medical advances.All manuscripts are subject to peer review by international experts. Letters to the Editor are welcomed and will be considered for publication.
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