Spatiotemporal analysis of mortality from malignant ovarian neoplasms in Brazil, 2001–2021
DOI:
https://doi.org/10.5327/JBG-2965-3711-164Keywords:
spatio-temporal analysis, ovarian neoplasms, mortality registriesAbstract
Introduction: Malignant ovarian neoplasms represent a relevant public health problem, characterized by high mortality, frequent late diagnosis, and marked regional inequalities, reinforcing the need for epidemiological and spatial analyses in Brazil. Objective: To analyze the spatial distribution and epidemiological profile of mortality from malignant ovarian neoplasms in Brazilian municipalities between 2001 and 2021. Methods: This was a descriptive observational epidemiological study with spatial analysis that, included female deaths from malignant ovarian neoplasms classified according to the International Classification of Diseases (ICD-10) code C56, recorded in Brazil between 2001 and 2021. Data were obtained from the Brazilian Mortality Information System and the Brazilian Institute of Geography and Statistics to calculate crude and age-standardized municipal mortality rates. Sociodemographic variables and characteristics of deaths were evaluated. Temporal trends were analyzed using the Joinpoint Regression Program, while spatial analyses were performed in GeoDa, with the construction of thematic maps, local empirical Bayesian smoothing, and identification of spatial clusters using the global and local Moran indices. Results: During the study period, 65,150 deaths from malignant ovarian neoplasms were recorded in Brazil. Mortality was highest among women aged 60–69 years (25.07%), predominantly white (61.78%) and married (36.38%). A heterogeneous spatial distribution was observed, with higher mortality rates concentrated in the South and Southeast regions and foci of higher mortality in the Northeast. Conclusion: Spatial clusters and municipalities with high mortality from malignant ovarian neoplasms were identified, underscoring the need for region-specific strategies to address local disparities.
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References
1. Zachow Bühring CA, Wagner LS, Silva IK, Mendes GA. Câncer de ovário: uma revisão integrativa de literatura. Rev Interdiscip Ensino Pesq Ext. 2021;9(1):199-211. https://doi.org/10.33053/revint.v9i1.641
2. Machado CC, Brandão CA, Rosa KM, Lemieszek MB, Anschau F. Câncer de Ovário Ovarian Cancer [Internet]. Acta Med. 2017;38(2). [acessado em 02 out. 2025]. Disponível em: https://docs.bvsalud.org/biblioref/2018/05/883250/ca-de-ovario-finalb_rev.pdf
3. Ferreyra CG, Bordini AC, Sakano M, Euzébio R, Pascalicchio JC, Teixeira LC, et al. Câncer do ovário: registro do Hospital Pérola Byington. Arq Med Hosp Fac Ciênc Med Santa Casa de São Paulo. 2007;52(2):44-7.
4. Valbusa DE, Abreu AGM, Moreira FAV, Eyer IMO, Melo JP, Pedroni JL, et al. Câncer de ovário: fisiopatologia e manejo terapêutico. Braz J Develop. 2023;9(1):641-56. https://doi.org/10.34117/bjdv9n1-047
5. Reis FJC. Rastreamento e diagnóstico das neoplasias de ovário: papel dos marcadores tumorais. Rev Bras Ginecol Obstet. 2005;27(4):222-7. https://doi.org/10.1590/S0100-72032005000400010
6. Rodrigues GJR, Lasmar ALT, Rezende BES, Martins BCS, Mussi HG, Rabello LN, et al. A relevância da implementação de um programa de rastreamento de câncer de ovário: uma revisão narrativa. REAS. 2021;13(9):e8390. https://doi.org/10.25248/reas.e8390.2021
7. Kurnit KC, Fleming GF, Lengyel E. Updates and New Options in Advanced Epithelial Ovarian Cancer Treatment. Obstet Gynecol. 2020;137(1):108-21. https://doi.org/10.1097/aog.0000000000004173
8. Brasil. Ministério da Saúde. Departamento de Informática do Sistema Único de Saúde (DATASUS). Informações de Saúde (TABNET) [Internet]. Brasília: Ministério da Saúde; [acessado em 02 out. 2025]. Disponível em: https://datasus.saude.gov.br/informacoes-de-saude-tabnet/
9. Siegel RL, Miller KD, Wagle NS, Jemal A. Cancer statistics, 2023. CA Cancer J Clin. 2023;73(1):17-48. https://doi.org/10.3322/caac.21763
10. 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. https://doi.org/10.3322/caac.21660
11. Pearce CL, Rossing MA, Lee AW, Ness RB, Webb PM, Chenevix-Trench G, et al. Combined and Interactive Effects of Environmental and GWAS-Identified Risk Factors in Ovarian Cancer. Cancer Epidemiol Biomarkers Prev. 2013;22(5):880-90. https://doi.org/10.1158/1055-9965.epi-12-1030-t
12. Torre LA, Trabert B, DeSantis CE, Miller KD, Samimi G, Runowicz CD, et al. Ovarian cancer statistics, 2018. CA Cancer J Clin. 2018;68(4):284-96. https://doi.org/10.3322/caac.21456
13. Santos MAP, Fernandes FCGM, Santos EGO, Souza DLB, Barbosa IR. Tendências de Incidência e Mortalidade por Câncer de Ovário nos Países da América Latina. Rev Bras Cancerol. 2020;66(4):e06813. https://doi.org/10.32635/2176-9745.RBC.2020v66n4.813
14. Reid BM, Permuth JB, Sellers TA. Epidemiology of ovarian cancer: a review. Cancer Biol Med. 2017;14(1):9-32. https://doi.org/10.20892/j.issn.2095-3941.2016.0084
15. Lheureux S, Braunstein M, Oza AM. Epithelial ovarian cancer: Evolution of management in the era of precision medicine. CA Cancer J Clin. 2019;69(4):280-304. https://doi.org/10.3322/caac.21559
16. Ayuso-Álvarez A, García-Pérez J, Triviño-Juárez JM, Larrinaga-Torrontegui U, González-Sánchez M, Ramis R, et al. Association between proximity to industrial chemical installations and cancer mortality in Spain. Environ Pollut. 2020;260:113869. https://doi.org/10.1016/j.envpol.2019.113869
17. Wei YF, Ning L, Xu YL, Ma J, Li DR, Feng ZF, et al. Worldwide patterns and trends in ovarian cancer incidence by histological subtype: a population-based analysis from 1988 to 2017. EClinicalMedicine. 2024;79:102983. https://doi.org/10.1016/j.eclinm.2024.102983
18. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2018. CA Cancer J Clin. 2018 Jan;68(1):7-30. https://doi.org/10.3322/caac.21442
19. Huang L, Cronin KA, Johnson KA, Mariotto AB, Feuer EJ. Improved survival time: What can survival cure models tell us about population-based survival improvements in late-stage colorectal, ovarian, and testicular cancer? Cancer. 2008 Apr 7;112(10):2289-300. https://doi.org/10.1002/cncr.23425
20. Singh GK, Jemal A. Socioeconomic and Racial/Ethnic Disparities in Cancer Mortality, Incidence, and Survival in the United States, 1950–2014: Over Six Decades of Changing Patterns and Widening Inequalities. J Environ Public Health. 2017;2017:2819372. https://doi.org/10.1155/2017/2819372
21. Fidler MM, Bray F, Soerjomataram I. The global cancer burden and human development: A review. Scand J Public Health. 2017;46(1):27-36. https://doi.org/10.1177/1403494817715400
22. Zajacova A, Lawrence EM. The Relationship between Education and Health: Reducing Disparities through a Contextual Approach. Annual Rev Public Health. 2018;39(1):273-89. https://doi.org/10.1146/annurev-publhealth-031816-044628
