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Objective. To evaluate, using semiparametric methodologies of survival analysis, the relationship between covariates and time to death of patients with breast cancer, as well as the determination discriminatory power in the conditional inference tree of patients who had cancer. Methods. A retrospective cohort study was conducted using data collected from medical records of women who had breast cancer and underwent treatment between 2005 and 2015 at the Hospital da Fundação de Assistencial da Paraíba in Campina Grande, State of Paraiba, Brazil. Survival curves were estimated using the Kaplan-Meier method, Cox regression, and conditional decision tree. Results. Women with triple-negative molecular subtypes had a shorter survival time compared to women with positive hormone receptors. The addition of hormone therapy reduced the risk of a patient dying by 5.5%, and the risk of a HER2-positive patient dying was 34.5% lower compared to those who were negative for this gene. Patients undergoing hormone therapy had a median survival time of 4 753 days. Conclusions. This paper shows a favorable scenario for the use of immunotherapy for patients with HER2 overexpression. Further studies could assess the effectiveness of immunotherapy in patients with other conditions, to favor the prognosis and better quality of life for the patient. [ABSTRACT FROM AUTHOR]

Objective. To identify individual- and health services-related factors associated with deaths in subjects diagnosed with tuberculosis (TB). Methods. A nonconcurrent cohort study with passive follow-up was conducted using a probabilistic linkage method to analyze a sample of patients diagnosed and reported as having TB in 2006 and followed up until 2008. New cases, cases with previous treatment (readmission after loss to follow-up or relapse), and transfers across health services were included. Proportional hazards models were used to estimate the independent effect of covariates related to the individual and to the health services on mortality from all causes. Results. Age above 60 years, admission to a hospital with emergency services, HIV-associated TB, and readmission to an outpatient facility after disease relapse or loss to follow-up were identified as risk factors for death. Variables related to process and results indicators of Brazil's National TB Program were not associated with mortality from all causes. Conclusions. Advanced age, previous treatment for TB, and treatment at a secondary-level outpatient facility or a hospital with emergency services on site were associated with mortality in TB patients. Better strategies to improve TB care delivered at health units are needed to prevent death from TB, especially among the elderly. [ABSTRACT FROM AUTHOR]

Objectives. To better understand the role that health care plays in breast cancer survival by investigating the effects that hormone therapy adherence and other select health care variables, adjusted for clinical and sociodemographic factors, had among a population of women in Rio de Janeiro, Brazil. Methods. This was a longitudinal study based on secondary data of 5 861 women treated with hormone therapy (tamoxifen or aromatase inhibitors) at the National Cancer Institute of Brazil (INCA), from 1 January 2004 - 29 October 2010. Four different sources of data were integrated for analysis: INCA Pharmacy Sector Dispensation System; Hospital-based Cancer Registry; Integrated Hospital System and INCA Absolute System; and Mortality Information System. Analyses explored the effects of adherence to hormone therapy, disease care aspects, and sociodemographic, behavioral, and clinical variables, on the time of survival, using Kaplan-Meier and Cox proportional hazards models. Results. The general survival rate was 94% in the first year after initiation of hormone therapy, and 71% in the fifth year. The Cox model indicated a higher hazard of death among women smokers, with more hospitalizations, more exams, and, among those who used, who used only aromatase inhibitors, as hormone therapy modality. The hazard was lower among women with a partner (stable relationship), a high school or college education a family history of cancer, and those who were treated by a mastologist, oncologist, and/or psychotherapist, who underwent surgery, and who adhered to hormone therapy. Conclusions. The study indicated more vulnerable sub-groups and the aspects of care that provide best results, bringing new knowledge to improve assistance to this group of women. [ABSTRACT FROM AUTHOR]

Objective. To identify disparities—using recursive partitioning (RP)—in early survival for children with leukemias treated in Argentina, and to depict the main characteristics of the most vulnerable groups. Methods. This secondary data analysis evaluated 12-month survival (12-ms) in 3 987 children diagnosed between 2000 and 2008 with lymphoid leukemia (LL) and myeloid leukemia (ML) and registered in Argentina’s population-based oncopediatric registry. Prognostic groups based on age at diagnosis, gender, socioeconomic index of the province of residence, and migration to a different province to receive health care were identified using the RP method. Results. Overall 12-ms for LL and ML cases was 83.7% and 59.9% respectively. RP detected major gaps in 12-ms. Among 1-10-year-old LL patients from poorer provinces, 12-ms for those who did and did not migrate was 87.0% and 78.2% respectively. Survival of ML patients < 2 years old from provinces with a low/medium socioeconomic index was 38.9% compared to 62.1% for those in the same age group from richer provinces. For 2-14-year-old ML patients living in poor provinces, patient migration was associated with a 30% increase in 12-ms. Conclusions. Major disparities in leukemia survival among Argentine children were found. Patient migration and socioeconomic index of residence province were associated with survival. The RP method was instrumental in identifying and characterizing vulnerable groups. [ABSTRACT FROM AUTHOR]