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Cost-effectiveness analysis of Oncotype DX from a Brazilian private medicine perspective: a GBECAM multicenter retrospective study

BACKGROUND: Oncotype DX (ODX) is a validated assay for the prediction of risk of recurrence and benefit of chemotherapy (CT) in both node negative (N0) and 1–3 positive nodes (N1), hormone receptor positive (HR+), human epidermal growth factor receptor 2-negative (HER2−) early breast cancer (eBC). D...

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Autores principales: Oliveira, Leandro Jonata Carvalho, Megid, Thais Baccili Cury, Rosa, Daniela Dornelles, Magliano, Carlos Alberto da Silva, Assad, Daniele Xavier, Argolo, Daniel Fontes, Sanches, Solange Moraes, Testa, Laura, Bines, José, Kaliks, Rafael, Caleffi, Maira, de Melo Gagliato, Debora, Sahade, Marina, Barroso-Sousa, Romualdo, Corrêa, Tatiana Strava, Shimada, Andrea Kazumi, Batista, Daniel Negrini, Musse Gomes, Daniel, Cesca, Marcelle Goldner, Gaudêncio, Débora, Moura, Larissa Matos Almeida, de Araújo, Julio Antonio Pereira, Katz, Artur, Mano, Max Senna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9806428/
https://www.ncbi.nlm.nih.gov/pubmed/36601632
http://dx.doi.org/10.1177/17588359221141760
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author Oliveira, Leandro Jonata Carvalho
Megid, Thais Baccili Cury
Rosa, Daniela Dornelles
Magliano, Carlos Alberto da Silva
Assad, Daniele Xavier
Argolo, Daniel Fontes
Sanches, Solange Moraes
Testa, Laura
Bines, José
Kaliks, Rafael
Caleffi, Maira
de Melo Gagliato, Debora
Sahade, Marina
Barroso-Sousa, Romualdo
Corrêa, Tatiana Strava
Shimada, Andrea Kazumi
Batista, Daniel Negrini
Musse Gomes, Daniel
Cesca, Marcelle Goldner
Gaudêncio, Débora
Moura, Larissa Matos Almeida
de Araújo, Julio Antonio Pereira
Katz, Artur
Mano, Max Senna
author_facet Oliveira, Leandro Jonata Carvalho
Megid, Thais Baccili Cury
Rosa, Daniela Dornelles
Magliano, Carlos Alberto da Silva
Assad, Daniele Xavier
Argolo, Daniel Fontes
Sanches, Solange Moraes
Testa, Laura
Bines, José
Kaliks, Rafael
Caleffi, Maira
de Melo Gagliato, Debora
Sahade, Marina
Barroso-Sousa, Romualdo
Corrêa, Tatiana Strava
Shimada, Andrea Kazumi
Batista, Daniel Negrini
Musse Gomes, Daniel
Cesca, Marcelle Goldner
Gaudêncio, Débora
Moura, Larissa Matos Almeida
de Araújo, Julio Antonio Pereira
Katz, Artur
Mano, Max Senna
author_sort Oliveira, Leandro Jonata Carvalho
collection PubMed
description BACKGROUND: Oncotype DX (ODX) is a validated assay for the prediction of risk of recurrence and benefit of chemotherapy (CT) in both node negative (N0) and 1–3 positive nodes (N1), hormone receptor positive (HR+), human epidermal growth factor receptor 2-negative (HER2−) early breast cancer (eBC). Due to limited access to genomic assays in Brazil, treatment decisions remain largely driven by traditional clinicopathologic risk factors. ODX has been reported to be cost-effective in different health system, but limited data are available considering the reality of middle-income countries such as Brazil. We aim to evaluate the cost-effectiveness of ODX across strata of clinical risk groups using data from a dataset of patients from Brazilian institutions. METHODS: Clinicopathologic and ODX information were analyzed for patients with T1–T3, N0–N1, HR+/HER2− eBC who had an ODX performed between 2005 and 2020. Projections of CT indication by clinicopathologic criteria were based on binary clinical risk categorization based on the Adjuvant! Algorithm. The ODX score was correlated with the indication of CT according to TAILORx and RxPONDER data. Two decision-tree models were developed. In the first model, low and high clinical risk patients were included while in the second, only high clinical risk patients were included. The cost for ODX and CT was based on the Brazilian private medicine perspective. RESULTS: In all, 645 patients were analyzed; 411 patients (63.7%) had low clinical risk and 234 patients (36.3%) had high clinical risk disease. The ODX indicated low (<11), intermediate (11–25), and high (>25) risk in 119 (18.4%), 415 (64.3%), and 111 (17.2%) patients, respectively. Among 645 patients analyzed in the first model, ODX was effective (5.6% reduction in CT indication) though with an incremental cost of United States Dollar (US$) 2288.87 per patient. Among 234 patients analyzed in the second model (high clinical risk only), ODX led to a 57.7% reduction in CT indication and reduced costs by US$ 4350.66 per patient. CONCLUSIONS: Our study suggests that ODX is cost-saving for patients with high clinical risk HR+/HER2− eBC and cost-attractive for the overall population in the Brazilian private medicine perspective. Its incorporation into routine practice should be strongly considered by healthcare providers.
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spelling pubmed-98064282023-01-03 Cost-effectiveness analysis of Oncotype DX from a Brazilian private medicine perspective: a GBECAM multicenter retrospective study Oliveira, Leandro Jonata Carvalho Megid, Thais Baccili Cury Rosa, Daniela Dornelles Magliano, Carlos Alberto da Silva Assad, Daniele Xavier Argolo, Daniel Fontes Sanches, Solange Moraes Testa, Laura Bines, José Kaliks, Rafael Caleffi, Maira de Melo Gagliato, Debora Sahade, Marina Barroso-Sousa, Romualdo Corrêa, Tatiana Strava Shimada, Andrea Kazumi Batista, Daniel Negrini Musse Gomes, Daniel Cesca, Marcelle Goldner Gaudêncio, Débora Moura, Larissa Matos Almeida de Araújo, Julio Antonio Pereira Katz, Artur Mano, Max Senna Ther Adv Med Oncol Original Research BACKGROUND: Oncotype DX (ODX) is a validated assay for the prediction of risk of recurrence and benefit of chemotherapy (CT) in both node negative (N0) and 1–3 positive nodes (N1), hormone receptor positive (HR+), human epidermal growth factor receptor 2-negative (HER2−) early breast cancer (eBC). Due to limited access to genomic assays in Brazil, treatment decisions remain largely driven by traditional clinicopathologic risk factors. ODX has been reported to be cost-effective in different health system, but limited data are available considering the reality of middle-income countries such as Brazil. We aim to evaluate the cost-effectiveness of ODX across strata of clinical risk groups using data from a dataset of patients from Brazilian institutions. METHODS: Clinicopathologic and ODX information were analyzed for patients with T1–T3, N0–N1, HR+/HER2− eBC who had an ODX performed between 2005 and 2020. Projections of CT indication by clinicopathologic criteria were based on binary clinical risk categorization based on the Adjuvant! Algorithm. The ODX score was correlated with the indication of CT according to TAILORx and RxPONDER data. Two decision-tree models were developed. In the first model, low and high clinical risk patients were included while in the second, only high clinical risk patients were included. The cost for ODX and CT was based on the Brazilian private medicine perspective. RESULTS: In all, 645 patients were analyzed; 411 patients (63.7%) had low clinical risk and 234 patients (36.3%) had high clinical risk disease. The ODX indicated low (<11), intermediate (11–25), and high (>25) risk in 119 (18.4%), 415 (64.3%), and 111 (17.2%) patients, respectively. Among 645 patients analyzed in the first model, ODX was effective (5.6% reduction in CT indication) though with an incremental cost of United States Dollar (US$) 2288.87 per patient. Among 234 patients analyzed in the second model (high clinical risk only), ODX led to a 57.7% reduction in CT indication and reduced costs by US$ 4350.66 per patient. CONCLUSIONS: Our study suggests that ODX is cost-saving for patients with high clinical risk HR+/HER2− eBC and cost-attractive for the overall population in the Brazilian private medicine perspective. Its incorporation into routine practice should be strongly considered by healthcare providers. SAGE Publications 2022-12-26 /pmc/articles/PMC9806428/ /pubmed/36601632 http://dx.doi.org/10.1177/17588359221141760 Text en © The Author(s), 2022. https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access page (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
Oliveira, Leandro Jonata Carvalho
Megid, Thais Baccili Cury
Rosa, Daniela Dornelles
Magliano, Carlos Alberto da Silva
Assad, Daniele Xavier
Argolo, Daniel Fontes
Sanches, Solange Moraes
Testa, Laura
Bines, José
Kaliks, Rafael
Caleffi, Maira
de Melo Gagliato, Debora
Sahade, Marina
Barroso-Sousa, Romualdo
Corrêa, Tatiana Strava
Shimada, Andrea Kazumi
Batista, Daniel Negrini
Musse Gomes, Daniel
Cesca, Marcelle Goldner
Gaudêncio, Débora
Moura, Larissa Matos Almeida
de Araújo, Julio Antonio Pereira
Katz, Artur
Mano, Max Senna
Cost-effectiveness analysis of Oncotype DX from a Brazilian private medicine perspective: a GBECAM multicenter retrospective study
title Cost-effectiveness analysis of Oncotype DX from a Brazilian private medicine perspective: a GBECAM multicenter retrospective study
title_full Cost-effectiveness analysis of Oncotype DX from a Brazilian private medicine perspective: a GBECAM multicenter retrospective study
title_fullStr Cost-effectiveness analysis of Oncotype DX from a Brazilian private medicine perspective: a GBECAM multicenter retrospective study
title_full_unstemmed Cost-effectiveness analysis of Oncotype DX from a Brazilian private medicine perspective: a GBECAM multicenter retrospective study
title_short Cost-effectiveness analysis of Oncotype DX from a Brazilian private medicine perspective: a GBECAM multicenter retrospective study
title_sort cost-effectiveness analysis of oncotype dx from a brazilian private medicine perspective: a gbecam multicenter retrospective study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9806428/
https://www.ncbi.nlm.nih.gov/pubmed/36601632
http://dx.doi.org/10.1177/17588359221141760
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