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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.

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Background: Patients in serious condition due to COVID-19 often require special care in intensive care units (ICUs). This disease has affected over 758 million people and resulted in 6.8 million deaths worldwide. Additionally, the progression of the disease may vary from individual to individual, that is, it is essential to identify the clinical parameters that indicate a good prognosis for the patient. Machine learning (ML) algorithms have been used for analyzing complex medical data and identifying prognostic indicators. However, there is still an urgent need for a model to elucidate the predictors related to patient outcomes. Therefore, this research aimed to verify, through ML, the variables involved in the discharge of patients admitted to the ICU due to COVID-19. Methods: In this study, 126 variables were collected with information on demography, hospital length stay and outcome, chronic diseases and tumors, comorbidities and risk factors, complications and adverse events, health care, and vital indicators of patients admitted to an ICU in southern Brazil. These variables were filtered and then selected by a ML algorithm known as decision trees to identify the optimal set of variables for predicting patient discharge using logistic regression. Finally, a confusion matrix was performed to evaluate the model's performance for the selected variables. Results: Of the 532 patients evaluated, 180 were discharged: female (16.92%), with a central venous catheter (23.68%), with a bladder catheter (26.13%), and with an average of 8.46- and 23.65-days using bladder catheter and submitted to mechanical ventilation, respectively. In addition, the chances of discharge increase by 14% for each additional day in the hospital, by 136% for female patients, 716% when there is no bladder catheter, and 737% when no central venous catheter is used. However, the chances of discharge decrease by 3% for each additional year of age and by 9% for each other day of mechanical ventilation. The performance of the training data presented a balanced accuracy of 0.81, sensitivity of 0.74, specificity of 0.88, and the kappa value was 0.64. The test performance had a balanced accuracy of 0.85, sensitivity 0.75, specificity 0.95, and kappa value of 0.73. The McNemar test found that there were no significant differences in the error rates in the training and test data, suggesting good classification. This work showed that female, the absence of a central venous catheter and bladder catheter, shorter mechanical ventilation, and bladder catheter duration were associated with a greater chance of hospital discharge. These results may help develop measures that lead to a good prognosis for the patient.

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Colorectal cancer (CRC) is the leading cause of death due to cancer worldwide. In Brazil, it is the second most frequent cancer in men and women, with a mortality reaching 9.4% of those diagnosed. The aim of this study was to analyze the spatial heterogeneity of CRC deaths among municipalities in south Brazil, from 2015 to 2019, in different age groups (50-59 years, 60-69 years, 70-79 years, and 80 years old or more) and identify the associated variables. Global Spatial Autocorrelation (Moran's I) and Local Spatial Autocorrelation (LISA) analyses were used to evaluate the spatial correlation between municipalities and CRC mortality. Ordinary Least Squares (OLS) and Geographically Weighted Regression (GWR) were applied to evaluate global and local correlations between CRC deaths, sociodemographic, and coverage of health care services. For all age groups, our results found areas with high CRC rates surrounded by areas with similarly high rates mainly in the Rio Grande do Sul state. Even as factors associated with CRC mortality varied according to age group, our results suggested that improved access to specialized health centers, the presence of family health strategy teams, and higher rates of colonoscopies are protective factors against colorectal cancer mortality in southern Brazil.

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BACKGROUND: Lung cancer (LC) is one of the main causes of mortality in Brazil; geographic, cultural, socioeconomic and health access factors can affect the development of the disease. We explored the geospatial distribution of LC mortality, and associated factors, between 2015 and 2019, in Parana state, Brazil. METHODS AND FINDINGS: We obtained mortality (from the Brazilian Health Informatics Department) and population rates (from the Brazilian Institute of Geography and Statistics [IBGE]) in people over 40 years old, accessibility of oncology centers by municipality, disease diagnosis rate (from Brazilian Ministry of Health), the tobacco production rate (IBGE) and Parana Municipal Performance Index (IPDM) (from Parana Institute for Economic and Social Development). Global Moran's Index and Local Indicators of Spatial Association were performed to evaluate the spatial distribution of LC mortality in Parana state. Ordinary Least Squares Regression and Geographically Weighted Regression were used to verify spatial association between LC mortality and socioeconomic indicators and health service coverage. A strong spatial autocorrelation of LC mortality was observed, with the detection of a large cluster of high LC mortality in the South of Parana state. Spatial regression analysis showed that all independent variables analyzed were directly related to LC mortality by municipality in Paraná. CONCLUSIONS: There is a disparity in the LC mortality in Parana state, and inequality of socioeconomic and accessibility to health care services could be associated with it. Our findings may help health managers to intensify actions in regions with vulnerability in the detection and treatment of LC.

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Heavy truck drivers represent a social group of great importance to any country's economy. Their professional activity requires a high level of dedication. Due to the irregular hours in their work routine and adopted habits, they mostly predispose them to a diversity of health problems. The purpose of this study is to perform a systematic review and meta-analysis aiming to identify the prevalence of diabetes, hypertension, and obesity in Latin American Truck Drivers. We searched the PubMed, Web of Science, Scopus and LILACS databases, for scientific publications articles, as reported by The PRISMA Statement. From 1,382, 7 studies were included according to the established criteria. The hypertension prevalence found was 34.2%, diabetes was of 9.2% and the highest prevalence found was for overweight and obesity (56%). Meta-analysis presented that drivers have a higher prevalence of overweight or obesity when compared to eutrophic individuals and that drivers with diabetes and hyperglycemia have a lower prevalence. Due to their work activity, their access to the health system is compromised limiting any type of monitoring of their health. This study showed that there is, in Latin America, an investment and assistance gap, both in the health sector and in the research section, for this professional category, which is so important to the economy of these countries. These data should help to identify the difficulties faced by this professional in health assistance, road safety, public safety, leisure and social life. This research also highlighted that they are young and already have the first sign of non-transmissible chronic diseases, which is overweight and obesity.

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Objective: Compare the breast cancer mortality rate and the rate of mammograms with socioeconomic factors, in Brazilian´s Federative Units, during the period of 2015 to 2021. Methods: This is an ecological study, of a descriptive nature, which covers the 27 Brazilian federative units, using secondary data extracted from the DATASUS System. The information analyzed was mammography data, breast cancer mortality, demographic and economic data of the resident population and women over 20 years of age. Results: There is a direct relationship between mortality rate and mammograms rates in the Federative Units. The data obtained for Brazil presents a total of 133,048 deaths from breast cancer and 17,324,526 mammography exams in the period from 2015 to 2021. In other words, Brazil presents a standardized mortality rate value, 19.25 deaths per 100,000 women. Regarding the mammography rate, the value of the exam-specific mammography rate was 2,506.55 per 100,000 women. In relation to socioeconomic data by mortality rate group, higher mortality rates from breast cancer present higher rates in the variables: income rate by State (2,594.86), people with income (63.5), average percentage of women with more over 50 years old (29.5%), women with average years of education (6.64), white population (55.1%) and mammography exam rate (2873.20). When analysing the highest rates of mammography exam rates, higher rates are observed income rate by State (2,161.47), people with income (62.5%), average percentage of women over 50 years old (28.6%), women with an average number of years of education (5.8). Conclusion: Brazil has a high mortality rate due to breast cancer, when compared to other countries. The reasons are diverse, such as the modern, industrialized and populous lifestyle. The Federative Units with the highest mortality rate also have high rates of mammograms, that is, in the Federative Units with "better" sociodemographic conditions, the South and Southeast.

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OBJECTIVES: to analyze colorectal cancer mortality trends in women in Brazil and its regions and states. METHODS: ecological, time-series study with trend analysis of deaths caused by colorectal cancer in women in Brazil and its regions and states between 2008 and 2019. Polynomial regression was used to treat the data. RESULTS: 48,225 deaths of women caused by colorectal cancer were examined. There was an increasing mortality trend in Brazilian women, with regional differences that resulted from socioeconomic, political, and cultural inequalities. The South Region stood out with the highest rate (7.32) in 2008, which increased to 8.65 in 2019, followed by the Southeast Region, whose rates were 6.72 and 9.05 in 2008 and 2019, respectively. CONCLUSIONS: colorectal cancer mortality increased, which indicates the need to expand public policies oriented toward screening and early diagnosis of colorectal cancer in women.

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OBJECTIVE: To analyze the characteristics associated with vaccination against Covid-19 in pregnant and postpartum women with Severe Acute Respiratory Syndrome in Brazil and to investigate a possible association between vaccination and the clinical course and outcome of the disease. METHODS: Retrospective cohort study of hospitalized pregnant and postpartum women diagnosed with Severe Acute Respiratory Syndrome (SARS) by SARS-CoV-2, presenting onset of signs and symptoms between May and October 2021. Secondary data were used, available in the Influenza Epidemiological Surveillance Information System (SIVEP-Gripe). Data were analyzed using the SPSS statistical program, medians were applied to present continuous variables and frequencies, and proportions were calculated for categorical variables, using logistic and multivariate regression analysis. RESULTS: The final study population included 3,585 pregnant and postpartum women, of whom 596 (16.6) were vaccinated: 443 (74.3%) received one dose and 153 (25.7%) received two doses. They were factors associated with non-vaccination against Covid-19 age ≤ 19 anos (OR: 2.57; IC95% 1.40;4.71), non-white women (OR: 1.34; IC95% 1.07;1.67) and those who required ventilatory support (OR: 1.51; IC95% 1.19;1.90) and invasive ventilation (OR: 2.05; IC95% 1.37;3.08). On the other hand, vaccination was associated with advanced maternal age (OR: 0.60; IC95% 0.48;0.76), presence of comorbidities (OR: 0.57; IC95% 0.45;0.72) and loss of taste (OR: 0.63; IC95% 0.48;0.82). CONCLUSIONS: Demographic, ethnic-racial and clinical characteristics were associated with the vaccination status of pregnant and postpartum women with SARS by SARS-CoV-2 in Brazil. Vaccination against Covid-19 in the obstetric population has already shown positive results in the evolution of severe cases, which reiterates its importance. It is essential that health services advance vaccination against Covid-19 in the obstetric population, especially adolescentes and non-white women.

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OBJECTIVE: To perform a scoping review of the applicability of the Gail model in different countries for different ethnicities. METHODS: The review was conducted based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) checklist and search strategies based on the PICOS approach. The reviewed articles were included if they were published between 2013 and 2018 in English, Portuguese, or Spanish; were original articles available in full online; and described the use of the Gail model. The PubMed, Embase, and Web of Science data bases were searched. RESULTS: A total of 38 articles eligible for analysis were identified, of which 16 used the Gail model to assess breast cancer risk in women, eight analyzed the applicability of this tool in their population, seven compared the tool and/or modified it according to the specific risk factors of their population, and seven cited the model in determining eligibility for chemoprevention. CONCLUSION: The Gail model has different applicabilities Greater effectiveness and breast cancer risk are found in developed countries.

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Abstract Aims: To identify the histopathological alterations in organs of Wistar rats to evaluate toxic effects of use of Annonamuricata Raw Leaf Extract (AMRLE) alone or in association with DMBA. Settings and Design: Sixty female Wistar rats were used, separated into groups and treated with a single dose of 65 mg/kg of DMBA and/or with 50; 100 and 200 mg/kg of AMRLE. Hematoxylin-Eosin (HE) and 1% methylene blue stains were used in the histopathological analysis and quantification of Aberrant Crypts (ACs) and Aberrant Crypt Focus (ACF). Fischer and Kruskal Wallis tests were used in the statistical analysis. Results: The administration of 65 mg/kg of DMBA and/or 50, 100 and 200 mg/kg of AMRLE did not influence weight development. Some histopathological alterations (hepatic steatosis; inflammatory foci in the liver, kidney and lung; pulmonary lymphoid hyperplasia, ectasia and hyperplasia in mammary gland epithelium) and the development of ACs and ACF in the intestinal colon were observed in all groups, except in the group negative control, with no statistical difference between analysed groups. Conclusions: Histopathological alterations and the formation of ACs and ACF did not show a statistically significant difference between the groups analysed. However, although AMRLE has antioxidant effects due to the presence of phenolic components, there was still the formation of some pathological processes that may be related to the isolated toxic action of DMBA and/or associated with other components of AMRLE, since these changes were not seen in the negative control group.

Resumen Objetivos: Identificar las alteraciones histopatológicas en órganos de ratas Wistar para evaluar los efectos tóxicos del uso del Extracto de Hoja Cruda de Annona muricata (AMRLE) solo o en asociación con DMBA. Configuración y diseño: Se utilizaron sesenta ratas hembras Wistar, se separaron en grupos y se trataron con una dosis única de 65 mg/kg de DMBA y/o con 50, 100 y 200 mg/kg de AMRLE. Se utilizaron tinciones de hematoxilina-eosina (HE) y azul de metileno al 1% en el análisis histopatológico y la cuantificación de criptas aberrantes (CA) y focus de criptas aberrantes (FCA). En el análisis estadístico se utilizaron las pruebas de Fischer y Kruskal Wallis. Resultados: La administración de 65 mg/kg de DMBA y/o 50, 100 y 200 mg/kg de AMRLE no influyó en el desarrollo del peso. Se observaron algunas alteraciones histopatológicas (esteatosis hepática; focus inflamatórios en el hígado, riñón y pulmón; hiperplasia, ectasia en epitelio de la glándula mamaria e hiperplasia linfoide pulmonar) y el desarrollo de CA y FCA en el colon intestinal en todos los grupos, excepto en el grupo control negativo, sin diferencias estadísticas entre los grupos analizados. Conclusiones: Las alteraciones histopatológicas y la formación de CA y FCA no mostraron diferencias estadísticamente significativas entre los grupos analizados. Sin embargo, aunque AMRLE tiene efectos antioxidantes debido a la presencia de componentes fenólicos, aún existe la formación de algunos procesos patológicos que pueden estar relacionados con la acción tóxica aislada del DMBA y/o asociados con otros componentes de AMRLE, ya que estos cambios no fueron observados en el grupo control negativo.

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