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The impact of sociodemographic factors and health insurance coverage in the diagnosis and clinicopathological characteristics of breast cancer in Brazil: AMAZONA III study (GBECAM 0115).
Rosa, Daniela Dornelles; Bines, José; Werutsky, Gustavo; Barrios, Carlos Henrique; Cronemberger, Eduardo; Queiroz, Geraldo Silva; de Lima, Vladmir C Cordeiro; Freitas-Júnior, Ruffo; Couto, José d'Oliveira; Emerenciano, Karla; Resende, Heloísa; Crocamo, Susane; Reinert, Tomás; Van Eyil, Brigitte; Nerón, Yeni; Dybal, Vanessa; Lazaretti, Nicolas; de Cassia Costamilan, Rita; de Andrade, Diocésio Alves Pinto; Mathias, Clarissa; Vacaro, Giovana Zerwes; Borges, Giuliano; Morelle, Alessandra; Caleffi, Maira; Filho, Carlos Sampaio; Mano, Max S; Zaffaroni, Facundo; de Jesus, Rafaela Gomes; Simon, Sergio Daniel.
Affiliation
  • Rosa DD; Hospital Moinhos de Vento (HMV), Tiradentes Street, 333 - 2nd floor, Porto Alegre, RS, 90035-001, Brazil. dornellesrosa@gmail.com.
  • Bines J; Instituto Nacional do Câncer (INCA), Rio de Janeiro, Brazil.
  • Werutsky G; Latin American Cooperative Oncology Group (LACOG), Porto Alegre, Brazil.
  • Barrios CH; Latin American Cooperative Oncology Group (LACOG), Porto Alegre, Brazil.
  • Cronemberger E; Centro Regional Integrado de Oncologia (CRIO), Fortaleza, Brazil.
  • Queiroz GS; Hospital Araújo Jorge, Goiás, Brazil.
  • de Lima VCC; A.C. Camargo Cancer Center, São Paulo, Brazil.
  • Freitas-Júnior R; Universidade Federal de Goiás, Goiânia, Brazil.
  • Couto JD; Hospital do Câncer de Londrina, Londrina, Brazil.
  • Emerenciano K; Liga Norte Riograndense, Natal, Brazil.
  • Resende H; Hospital Jardim Amalia, Volta Redonda, Brazil.
  • Crocamo S; Oncoclínica RJ, Rio de Janeiro, Brazil.
  • Reinert T; Centro de Pesquisa e Educação da Serra Gaúcha- DeVita, Caixas do Sul, Brazil.
  • Van Eyil B; Instituto do Câncer Dr Arnaldo, São Paulo, Brazil.
  • Nerón Y; Centro de Pesquisas Oncológicas (CEPON), Florianópolis, Brazil.
  • Dybal V; Clínica AMO, Salvador, Brazil.
  • Lazaretti N; Instituto do Câncer Hospital São Vicente, Passo Fundo, Brazil.
  • de Cassia Costamilan R; Universidade de Caxias do Sul, Caxias do Sul, Brazil.
  • de Andrade DAP; Instituo Oncológico de Ribeirão Preto, Ribeirão Preto, Brazil.
  • Mathias C; Núcleo Oncológico da Bahia/ Oncoclínicas, Lauro de Freitas, Brazil.
  • Vacaro GZ; Instituto do Câncer Hospital São Vicente, Passo Fundo, Brazil.
  • Borges G; Clínica de Neoplasias Litoral, Itajaí, Brazil.
  • Morelle A; Hospital Moinhos de Vento (HMV), Tiradentes Street, 333 - 2nd floor, Porto Alegre, RS, 90035-001, Brazil.
  • Caleffi M; Hospital Moinhos de Vento (HMV), Tiradentes Street, 333 - 2nd floor, Porto Alegre, RS, 90035-001, Brazil.
  • Filho CS; Clínica AMO, Salvador, Brazil.
  • Mano MS; Hospital Sírio-Libanês, São Paulo, Brazil.
  • Zaffaroni F; Latin American Cooperative Oncology Group (LACOG), Porto Alegre, Brazil.
  • de Jesus RG; Latin American Cooperative Oncology Group (LACOG), Porto Alegre, Brazil.
  • Simon SD; Hospital Israelita Albert Einstein, São Paulo, Brazil.
Breast Cancer Res Treat ; 183(3): 749-757, 2020 Oct.
Article in En | MEDLINE | ID: mdl-32728860
ABSTRACT

PURPOSE:

In Brazil, the available cancer registries are deficient in number and quality and, hence, little information is known regarding sociodemographic, clinicopathological characteristics, treatment patterns, and outcomes of breast cancer (BC) patients. We performed the AMAZONA III/ GBECAM 0115 study and in this analysis, we describe patients' characteristics at diagnosis and their association with health insurance type.

METHODS:

This is a prospective cohort study developed in 23 sites in Brazil including women with newly diagnosed invasive BC from January 2016 to March 2018. In order to compare healthcare insurance type, we considered patients who were treated under the Brazilian public health system as publicly insured, and women who had private insurance or paid for their treatment as privately insured.

RESULTS:

A total of 2950 patients were included in the study. Median age at diagnosis was 53.9 years; 63.1% were publicly insured. The majority of patients (68.6%) had stage II-III breast cancer and ductal carcinoma histology (80.9%). The most common breast cancer subtype was luminal A-like (48.0%) followed by luminal B-HER2 positive-like (17.0%) and triple-negative (15.6%). Luminal A was more frequent in private (53.7% vs. 44.2%, p < .0001) than public, whereas Luminal B HER2-positive (19.2% vs. 14.2%, p = 0.0012) and HER2-positive (8.8% vs. 5.1%, p = 0.0009) were more common in patients with public health system coverage. Only 34% of patients were diagnosed by screening exams. Privately insured patients were more frequently diagnosed with stage I disease when compared to publicly insured patients; publicly insured patients had more stage III (33.5% vs. 14.7%; p-value < 0.0001) disease than privately insured ones. Breast cancer was detected by symptoms more frequently in publicly than in privately insured patients (74.2% vs 25.8%, respectively; p-value < 0.0001).

CONCLUSIONS:

Patients with public health coverage were diagnosed with symptomatic disease, later stages and more aggressive subtypes when compared to privately insured patients.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Amazona Type of study: Diagnostic_studies / Observational_studies / Risk_factors_studies Limits: Animals / Female / Humans Country/Region as subject: America do sul / Brasil Language: En Journal: Breast Cancer Res Treat Year: 2020 Type: Article Affiliation country: Brazil

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Breast Neoplasms / Amazona Type of study: Diagnostic_studies / Observational_studies / Risk_factors_studies Limits: Animals / Female / Humans Country/Region as subject: America do sul / Brasil Language: En Journal: Breast Cancer Res Treat Year: 2020 Type: Article Affiliation country: Brazil