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. 2022 Oct 14:12:04061.
doi: 10.7189/jogh.12.04061.

10-year opportunistic mammographic screening scenario in Brazil and its impact on breast cancer early detection: a nationwide population-based study

Affiliations

10-year opportunistic mammographic screening scenario in Brazil and its impact on breast cancer early detection: a nationwide population-based study

Isabela Campeti Cuoghi et al. J Glob Health. .

Abstract

Background: Mammographic screening has been used to reduce breast cancer mortality worldwide and remains the main modality for the early detection of this disease. Women from low- and middle-income countries still lack access to periodic mammograms and efficient health care. This cross-sectional study aimed to explore opportunistic mammographic coverage in Brazil, while considering the privately insured population and its association with early breast cancer (EBC) detection.

Methods: Data on population, gross domestic product (GDP), number of mammograms performed under the Sistema Único de Saúde (SUS) public health system or private system, and women diagnosed with early-stage breast cancer from 2010 to 2019 were retrieved from publicly available databases.

Results: A total of 39 555 636 mammograms with an average of 3 955 564 ± 395 704 mammograms were obtained per year from 2010 to 2019 in Brazil. Most examinations (58.6%) were performed in the target population (50-69 years old), while 32% were performed in women aged 40-49, and 9.4% were performed in women <40 years or >70 years of age. The 10-year mammogram coverage was 30.6% in the target population and 24.8% in the population aged 40-49 years, with significant variation across states and municipalities. The overall EBC detection rates in Brazil were 30.6% in populations aged 50-70 and 24.8% in those aged 40-50 years. We observed a positive correlation between coverage and EBC detection rate (r = 0.68; P = 0.0001 (50-70 years) and r = 0.75; P < 0.0001 (40-50 years)). According to the GDP, the municipalities with higher GDP per capita had higher mammogram coverage (P < 0.0001).

Conclusions: The coverage of mammographic screening for women under the SUS is far below the international guidelines. Additionally, a significant number of mammograms have been performed in non-target populations. This scenario reflects the problematic screening programs in developing countries and reflects low rates of EBC diagnosis. As Brazil is a continental country with heterogeneous socioeconomic indicators, we observed significant variations in the number of mammograms performed by age groups when separated by states and municipalities. Even when considering supplemental health system coverage, municipalities with higher GDP per capita were associated with higher mammogram coverage.

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Conflict of interest statement

Disclosure of interest: The authors have completed the ICMJE Disclosure of Interest Form (available upon request from the corresponding author) and disclose no relevant interest.

Figures

Figure 1
Figure 1
Total number of mammograms (Panel A) and mammogram coverage (Panel B) from 2010 to 2019 in Brazil in the female population aged 40 to 69 years.
Figure 2
Figure 2
Distribution of screening mammograms according to age groups for every state in Brazil. AC – Acre, AL – Alagoas, AM – Amazonas, AP – Amapá, BA – Bahia, CE – Ceará, DF – Distrito Federal, ES – Espírito Santo, GO – Goiás, MA – Maranhão, MT – Mato Grosso, MS – Mato Grosso do Sul, MG – Minas Gerais, PA – Pará, PB – Paraíba, PR – Paraná, PE – Pernambuco, PI – Piauí, RJ – Rio de Janeiro, RN – Rio Grande do Norte, RO – Rondônia, RR – Roraima, RS – Rio Grande do Sul, SC – Santa Catarina, SE – Sergipe, SP – São Paulo, TO – Tocantins
Figure 3
Figure 3
Distribution of mammogram coverage in women from 50 to 69 years old; Panel A – across all states in Brazil, Panel B – municipalities in Brazil.
Figure 4
Figure 4
Correlation between mammogram coverage and the early breast cancer (EBC) detection rate across all Brazilian states.
Figure 5
Figure 5
Correlation between mammogram coverage and the early breast cancer (EBC) detection rate across Brazilian counties.
Figure 6
Figure 6
Gross domestic product (GDP) per capita quartile (Panel A) and population density quartile (Panel B) distribution according to the mammogram coverage quartiles.

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