Relationship between Screening, Diagnostic Mammograms, Hospital Admissions, and Mortality Rates from Breast Cancer.

Autor:	Stevanato KP; Health Sciences Center, State University of Maringá-UEM, Maringá 87020-900, Brazil., Ribeiro HF; Health Sciences Center, State University of Maringá-UEM, Maringá 87020-900, Brazil., Santos LD; Health Sciences Center, State University of Maringá-UEM, Maringá 87020-900, Brazil., Pelloso FC; Secretary Health Curitiba, Curitiba 80060-240, Brazil., Borba PB; Department of Medicine, University of Marilia-UNIMAR, Marilia 17525-902, Brazil., Borghesan DHP; Department of Aesthetics and Cosmetics, Catholic College of Mato Grosso, Várzea Grande 78070-200, Brazil., Carvalho MDB; Health Sciences Center, State University of Maringá-UEM, Maringá 87020-900, Brazil., Pedroso RB; Health Sciences Center, State University of Maringá-UEM, Maringá 87020-900, Brazil., Pujals C; Health Sciences Center, State University of Maringá-UEM, Maringá 87020-900, Brazil., Pelloso SM; Health Sciences Center, State University of Maringá-UEM, Maringá 87020-900, Brazil.
Jazyk:	angličtina
Zdroj:	International journal of environmental research and public health [Int J Environ Res Public Health] 2024 Jul 31; Vol. 21 (8). Date of Electronic Publication: 2024 Jul 31.
DOI:	10.3390/ijerph21081006
Abstrakt:	Background: Breast cancer is the most common type of cancer worldwide. If diagnosed and treated early, it has a high chance of cure, and for this, screening tests are necessary, namely mammograms, which are the most commonly used. The objective of this study was to analyze the association between the number of screening and diagnostic mammograms and the number of hospitalizations and deaths from breast cancer. Methods: This is a cross-sectional, analytical, retrospective study with secondary data made available by the Ministry of Health. Pearson correlation analysis was employed to assess whether the number of mammograms is associated with the number of deaths and hospitalizations, Poisson regression was used to assess whether an increase in the number of mammograms and hospitalizations is related to the number of deaths, and the Cox-Stuart test was used to analyze the temporal trend of the variables under study and the projection of time series. Results: There was a strong positive correlation for all age groups when relating the variables hospitalizations and deaths, a moderate-to-strong correlation for the variables mammography and hospitalization, and a weak correlation for the variables mammography and death. There was no statistical significance in the relationship between the number of mammograms and deaths, whereas the hospitalization variable had a significant impact in relation to death, increasing the chance by 0.015%. There has also been a significant growth trend in the variables deaths and hospitalizations in Brazil over the years. Conclusions: A growing trend was identified from 2013 to 2021, both in hospitalizations and deaths, thus suggesting that strategies aimed at reformulating public health policies are necessary for earlier diagnosis in order to improve the treatment of breast cancer and the prognosis of the disease.
Databáze:	MEDLINE
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