Evidence map›Paper›PMID 36601632›Full record

ArticleTherapeutic advances in medical oncology2022

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

Leandro Jonata Carvalho Oliveira, Thais Baccili Cury Megid, Daniela Dornelles Rosa, Carlos Alberto da Silva Magliano, Daniele Xavier Assad, Daniel Fontes Argolo, Solange Moraes Sanches, Laura Testa, José Bines, Rafael Kaliks and 14 more

Open access · goldAbstract read
In one paragraph

Article in Therapeutic advances in medical oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 35% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
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  3. Article
  4. Observational
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors at 8 institutions in 1 country.

Leandro Jonata Carvalho OliveiraCentro de Oncologia - Hospital Sírio-Libanês, Rua Dona Adma Jafet, 91, São Paulo, 01308-050, Brazil.ORCID https://orcid.org/0000-0001-6344-3544
Thais Baccili Cury MegidCentro de Oncologia - Hospital Sírio-Libanês, São Paulo, Brazil.
Daniela Dornelles RosaGrupo Brasileiro de Estudos em Câncer de Mama (GBECAM), São Paulo, Brazil.
Carlos Alberto da Silva MaglianoInstituto Nacional de Cardiologia, Rio de Janeiro, Brazil.
Daniele Xavier AssadGrupo Brasileiro de Estudos em Câncer de Mama (GBECAM), São Paulo, Brazil.
Daniel Fontes ArgoloGrupo Brasileiro de Estudos em Câncer de Mama (GBECAM), São Paulo, Brazil.
Solange Moraes SanchesGrupo Brasileiro de Estudos em Câncer de Mama (GBECAM), São Paulo, Brazil AC.
Laura TestaGrupo Brasileiro de Estudos em Câncer de Mama (GBECAM), São Paulo, Brazil.
José BinesGrupo Brasileiro de Estudos em Câncer de Mama (GBECAM), São Paulo, Brazil.
Rafael KaliksGrupo Brasileiro de Estudos em Câncer de Mama (GBECAM), São Paulo, Brazil.
Maira CaleffiServiço de Oncologia, Hospital Moinhos de Vento, Porto Alegre, Brazil.
Debora de Melo GagliatoGrupo Brasileiro de Estudos em Câncer de Mama (GBECAM), São Paulo, Brazil.
Marina SahadeCentro de Oncologia - Hospital Sírio-Libanês, São Paulo, Brazil.
Romualdo Barroso-SousaGrupo Brasileiro de Estudos em Câncer de Mama (GBECAM), São Paulo, Brazil.
Tatiana Strava CorrêaCentro de Oncologia - Hospital Sírio-Libanês, Brasília, Brazil.
Andrea Kazumi ShimadaCentro de Oncologia - Hospital Sírio-Libanês, São Paulo, Brazil.
Daniel Negrini BatistaClínica OncoStar - Rede D'Or São Luiz, São Paulo, Brazil.
Daniel Musse GomesClínica São Vicente - Rede D'Or São Luiz, Rio de Janeiro, Brazil.
Marcelle Goldner CescaAC Camargo Cancer Center, São Paulo, Brazil.
Débora GaudêncioClínica CLION - Grupo CAM, Salvador, Brazil.
Larissa Matos Almeida MouraClínica CLION - Grupo CAM, Salvador, Brazil.
Julio Antonio Pereira de AraújoCentro de Oncologia - Hospital Beneficência Portuguesa, São Paulo, Brazil.
Artur KatzCentro de Oncologia - Hospital Sírio-Libanês, São Paulo, Brazil.
Max Senna ManoCentro de Oncologia - Hospital Sírio-Libanês, São Paulo, Brazil.
Hospital Sírio-Libanês · BRD’Or Institute for Research and Education · BRSociedade Brasileira de Oncologia Clínica · BRAC Camargo Hospital · BRBeneficência Portuguesa de São Paulo · BRHospital Moinhos de Vento · BRHospital Israelita Albert Einstein · BRInstituto Nacional de Cardiologia · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Indexed as

cost-effectiveness analysisearly breast cancergene expression signatureshormone receptor positive breast cancerOncotype DX

Identifiers

PMID36601632
PMCPMC9806428
OpenAlexW4312358985

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.