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Our objectives with this study were to describe the spatial distribution of mammographic screening coverage across small geographical areas (micro-regions) in Brazil, and to analyze whether the observed differences were associated with spatial inequities in socioeconomic conditions, provision of health care, and healthcare services utilization. We performed an area-based ecological study on mammographic screening coverage in the period of 2010-2011 regarding socioeconomic and healthcare variables. The units of analysis were the 438 health micro-regions in Brazil. Spatial regression models were used to study these relationships. There was marked variability in mammographic coverage across micro-regions (median = 21.6%; interquartile range: 8.1%-37.9%). Multivariable analyses identified high household income inequality, low number of radiologists/100,000 inhabitants, low number of mammography machines/10,000 inhabitants, and low number of mammograms performed by each machine as independent correlates of poor mammographic coverage at the micro-region level. There was evidence of strong spatial dependence of these associations, with changes in one micro-region affecting neighboring micro-regions, and also of geographical heterogeneities. There were substantial inequities in access to mammographic screening across micro-regions in Brazil, in 2010-2011, with coverage being higher in those with smaller wealth inequities and better access to health care.

The Brazilian Ministry of Health recommends biennial mammographic screening for women aged between 50 and 69 years. Since screening is opportunistic in the country, the actual periodicity varies. This study sought to test a methodology for estimating over-screening due to excessive periodicity, defined as a smaller than recommended interval between exams, and its association with socio-demographic characteristics. A cohort of women who underwent mammography in 2010, and whose result was normal, was assembled through probabilistic linkage SISMAMA records based on a set of personal identifiers. We used data from women living in the micro health region of Juiz de Fora/Lima Duarte/Bom Jardim, Minas Gerais State, Brazil, who were followed in the System until the end of 2012. The rate of over-screening was 150/1,000 women/year (95%CI: 144.9-155.9), affecting 21% of women. Over-screening increased by 24% during Pink October campaigns (adjusted HR = 1.24; 95%CI: 1.15-1.35). The shorter the time passed since the last mammogram, the greater the odds of over-screening. Compared with women who had never had a mammogram prior to 2010, women who had had one in the previous 2 years were two times more likely to be over-screened (adjusted HR = 2.01; 95%CI: 1.74-2.31) whilst those who had had a mammogram ≤ 1 year previously were three times more likely to be over-screened (adjusted HR = 3.27; 95%CI: 2.87-3.73). Over-screening was substantial in this population, excessively exposing women to the risks of screening with no additional benefits and overestimating mammogram coverage. The methodology proved to be successful and should be applied to representative populations in order to guide breast cancer control policies.

The study's objectives were to investigate the association between race/color and 10-year survival in women with breast cancer and the role of staging as mediator. This was a hospital cohort with 481 women with invasive breast cancer diagnosed from 2003 to 2005. Comparisons were made between white and black women as to sociodemographic characteristics and staging, using the chi-square test, and 10-year survival, using Kaplan-Meier and Cox regression methods. For the race/color variable, direct and indirect effects were estimated, mediated by staging, with adjustment for the socioeconomic status of the woman's area of residence and age, using the potential responses (counterfactual) model and Cox multiple regression. Black women living in low-income census tracts were more likely to use the public health care system and to be diagnosed at more advanced stages. Breast cancer-specific 10-year survival was 64.3% (95%CI: 60.0; 68.9), with a significant difference between whites (69.5%; 95%CI: 64.8; 74.6) and blacks (44; 95%CI: 35.2%; 55.1). In the multivariate models adjusted for income and age, black women had worse prognosis (HR = 2.09; 95%CI: 1.76; 2.51), and the proportion mediated by staging was 40% (95%CI: 37; 42). There is racial disparity in 10-year breast cancer survival in Brazilian women, mediated mainly by more advanced staging at diagnosis in black women. This highlights the need to expand both the coverage and the quality of breast cancer screening and to facilitate access to early diagnosis and treatment in order to reduce racial inequality.

Breast cancer is the most frequent neoplasm in women, and some studies have shown social inequalities in incidence and survival, which are poorly investigated in Brazil. To assess iniquity in prognosis, a hospital-based cohort study was carried out. Follow-up was made by active search in medical records and in the Mortality Information System, phone calls, and consultation on Individual Tax-Collection Record status. Survival functions were estimated by the Kaplan-Meier method, and the Cox proportional hazards model was employed for prognostic assessment. Disease-specific survival was estimated at 76.3% (95%CI: 71.9-81.0) in 5 years. Women seen at public facilities had worse prognosis (HR = 1.79; 95%CI: 1.09-2.94), which was particularly due to the disease being diagnosed at a more advanced stage. These findings point to inequalities of access to screening actions, as women of lower social conditions with later diagnostic and therefore with worse prognostic.

This study identifies the period and cohort effects on the decreasing mortality trend of cancer of the uterine cervix and of the uterus, part unspecified, in the state of Minas Gerais, Brazil, during the period 1980-2005. 11,243 cases were included. A non-parametric method was used to calculate Z statistics and p-values. The cohorts were assessed one by one and also in blocks of three, so as to allow for a larger number of comparisons to be made. Greater than expected mortality reduction was observed for the cohort blocks of women born in 1913-1920; 1927-1936; 1937-1946; 1949-1956; 1963-1970; and 1969-1976. For the 1901-1908 and 1921-1928 cohort blocks a smaller than expected mortality decrease was found. As for period effect, we found a greater than expected reduction for the 2000-2001 period, in comparison with the previous one. The study suggests the existence of a significant cohort effect on mortality due to cancer of the uterine cervix in the study population, and such results have been placed in their social and political contexts.

The purpose of this study was to analyze five-year survival and the main prognostic factors among women with invasive breast cancer diagnosed from 1998 to 2000 that had undergone surgical treatment in the city of Juiz de Fora, Minas Gerais State, Brazil. Study variables were: age, skin color, place of residence, tumor-related variables, and treatment-related variables. Survival functions were calculated by the Kaplan-Meier method, and multivariate analysis was performed using the Cox proportional hazard model. Disease-specific survival was 81.8%. Tumor size and lymph node involvement were the main independent prognostic factors in the study population, with increased risk of death for women with tumor size greater than 2.0 cm (HR = 1.97; 95%CI: 1.26-3.07) and positive axillary lymph nodes (HR = 4.04; 95%CI: 2.55-6.39). The results emphasize the need for earlier diagnosis and treatment. Access to screening at different levels of care, mainly for women at high risk, should be a key priority for the Unified National Health System in Brazil.

This study evaluated the cervical cancer mortality trend from 1980 to 2005 in the State of Minas Gerais, Brazil. The demographic and mortality data available on the website of the Statistics Department of the Unified National Health System (DATASUS) were used to estimate the mortality rate for uterine cervical cancer and unspecified uterine cancer for the State during the period. Linear regression was performed, with mortality rate as the response variable and year of diagnosis as the explanatory variable. Mortality varied from 9.18/100,000 in 1980 to 5.70/100,000 in 2005. The log-linear model showed a 1.93% annual reduction in mortality due to cervical cancer for the State during the study period (p = 0.000), and this drop was observed mainly in cases classified as unspecified uterine cancer. The downward mortality trend observed for this disease suggests improved access to timely and adequate diagnosis and treatment in Minas Gerais in recent years, although coverage of screening is still unsatisfactory.