Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Meta-Analysis
. 2024 Jul 1;25(7):2219-2227.
doi: 10.31557/APJCP.2024.25.7.2219.

Mortality of Young Women due to Breast Cancer in Low, Middle and High-Income Countries: Systematic Literature Review and Meta-Analysis

Juliana Dalcin Donini E Silva  1 , Raissa Bocchi Pedroso  1 , Fernando Castilho Pelloso  2 , Maria Dalva De Barros Carvalho  1 , Thais Da Silva Santos  3 , Amanda De Carvalho Dutra  1 , Kely Paviani Stevanato  1 , Vlaudimir Dias Marques  1 , Luciano De Andrade  1 , Daniela Cristina De Medeiros Araújo  4 , Lander Dos Santos  1 , Deise Helena Pelloso Borghesan  4 , Helena Fiats Ribeiro  1 , Camila Wohlenberg Canparoto  1 , Jorge Juarez Vieira Teixeira  1 , Fernanda Hoffmann Marques  5 , Sandra Marisa Pelloso  1
Affiliations
Meta-Analysis

Mortality of Young Women due to Breast Cancer in Low, Middle and High-Income Countries: Systematic Literature Review and Meta-Analysis

Juliana Dalcin Donini E Silva et al. Asian Pac J Cancer Prev. .

Abstract

Objective: To identify the difference in breast cancer mortality rates among young women according to countries' economic classification.

Methods: A systematic literature review included retrospective studies on breast cancer mortality rates in women aged 20 to 49 years. Databases used were PubMed, Web of Science, Scopus, and Virtual Health Library, with articles selected in English, Portuguese, and Spanish. The study selection and analysis were conducted by two pairs of researchers. Data from 54 countries were extracted, including 39 high-income, 12 upper-middle-income, and 3 lower-middle-income countries. A meta-analysis was performed with the quantitative data from two studies.

Results: Six articles met the inclusion criteria. Four were analyzed descriptively due to data diversity, and two were included in the meta-analysis. The pooled mortality rate for high-income countries was 10.2 per 100,000 women (95% CI: 9.8-10.6), while for upper-middle-income countries, it was 15.5 per 100,000 women (95% CI: 14.9-16.1). Lower-middle-income countries had a pooled mortality rate of 20.3 per 100,000 women (95% CI: 19.5-21.1). The decrease in mortality rates in high-income countries was statistically significant (p<0.05).

Conclusion: Mortality rates for breast cancer among young women have decreased significantly in high-income countries but have increased in lower-income countries. This disparity underscores the impact of insufficient investment in preventive measures, health promotion, early diagnosis, and treatment on young women's mortality in lower-income countries.

Keywords: Breast Neoplasms; Country´ s economic classification; Epidemiology.

PubMed Disclaimer

Conflict of interest statement

The authors declare no potential conflicts of interest.

Figures

Figure 1
Figure 1
Flow Diagram of the Systematic Review Steps. Observational studies, that mentioned breast cancer mortality rate in young women (20-49 years) across the world.
Figure 2
Figure 2
Distribution of Studies According to Country of Elaboration and Mortality Rate. Quality assessment of the included studies.
Figure 3
Figure 3
Forest Plot of the Mortality Rate of High-Income Countries (ES, effect size estimate); (CI, interval confidence).
Figure 4
Figure 4
Forest Plot of the Mortality Rate of Upper-Middle-income Countries (ES, effect size estimate); (CI, interval confidence).
Figure 5
Figure 5
Forest Plot of the Mortality Rate of Low-Income Countries (ES, effect size estimate); (CI, interval confidence).
See this image and copyright information in PMC

References

    1. Brazil. Ministry of Health. National Cancer Institute (INCA) 2016 estimate: incidence of cancer in Brazil. 2016.
    1. Ghoncheh M, Mohammadian-Hafshejani A, Salehiniya H. Incidence and mortality of breast cancer and their relationship to development in asia. Asian Pac J Cancer Prev. 2015;16(14):6081–7. - PubMed
    1. DeSantis CE, Ma J, Goding Sauer A, Newman LA, Jemal A. Breast cancer statistics, 2017, racial disparity in mortality by state. CA Cancer J Clin. 2017;67(6):439–48. - PubMed
    1. Anastasiadi Z, Lianos GD, Ignatiadou E, Harissis HV, Mitsis M. Breast cancer in young women: An overview. Updates Surg. 2017;69(3):313–7. - PubMed
    1. Sung H, Ferlay J, Siegel RL, Laversanne M, Soerjomataram I, Jemal A, et al. Global cancer statistics 2020: Globocan estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2021;71(3):209–49. - PubMed