O câncer de mama tem sido um dos maiores problemas de saúde pública em todo o mundo, sendo provavelmente o mais temido pelas mulheres devido a sua alta freqüência e pelos seus efeitos psicológicos 1. Em termos epidemiológicos, o
Objective:To describe the flow and costs associated with the diagnosis and treatment of patients with breast cancer who come from the public healthcare system and were treated at Hospital Israelita Albert Einstein.Methods:Between August 2009, and December 2011, 51 patients referred by the Unified Public Healthcare System (SUS) had access to Hospital Israelita Albert Einstein for diagnostic radiology, medical oncology, radiotherapy, and oncologic/ breast reconstruction surgery. The data were collected retrospectively from the hospital records, patient charts, pharmacy records, and from the hospital billing system.Results:The total sum spent for diagnosis and treatment of these 51 patients was US$ 1,457,500.00. This value encompassed expenses with a total of 85 hospitalizations, 2,875 outpatient visits, 16 emergency room visits, and all expenses associated with these stays at the hospital. The expenditure for treatment of each patient submitted to biopsy, breast conserving surgery, adjuvant chemotherapy without trastuzumab (a regime with taxane followed by anthracycline), radiotherapy, and 5 years of tamoxifen was approximately US$ 25,500.00.Conclusion:Strategies for cost-reduction of treatment in the private setting are necessary to enable future large-scale public-private partnerships in oncology.
Background. In Brazil, cancer is the second most common cause of death. Most patients in resource-limited countries are diagnosed in advanced stages. Current guidelines advocate for EGFR mutation testing in all patients with metastatic adenocarcinoma. Tyrosine kinase inhibitors are recommended in patients with advanced or metastatic disease harboring sensitizing mutations. In Brazil, there are limited data regarding the frequency of EGFR testing and the changes in patterns of testing overtime. Materials and Methods. This was an observational, retrospective study. We obtained deidentified data from a commercial database, which included 11,684 patients with non-small cell lung cancer treated between 2011 and 2016 in both public and private settings. We analyzed the frequency of EGFR mutation testing over time. We also directly studied 3,664 tumor samples, which were analyzed between 2011 and 2013. These samples were tested for EGFR mutations through an access program to tyrosine kinase inhibitors in Brazil.Results. Overall, 38% of patients were tested for EGFR mutations; 76% of them were seen in the private sector, and 24% were seen in the public center. The frequency of testing for EGFR mutations increased significantly over time: 13% (287/2,228 patients) in 2011, 34% (738/2,142) in 2012, 39% (822/2,092) in 2013, 44% (866/1,972) in 2014, 53% (1,165/2,184) in 2015, and 42% (1,359/3,226) in 2016. EGFR mutations were detected in 25.5% of analyzed samples (857/3,364). Deletions in Exon 19 were the most frequent mutations, detected in 54% of patients (463/857). Conclusion. Our findings suggest that the frequency of EGFR mutation in this cohort was lower than that found in Asia but higher than in North American and Western European populations. The most commonly found mutations were in Exon 19 and Exon 21. Our study shows that fewer than half of patients are being tested and that the disparity is greater in the public sector. The Oncologist 2019;24:e137-e141 Implications for Practice: These data not only indicate the shortage of testing but also show that the rates of positivity in those tested seem to be higher than in other cohorts for which data have been published. This study further supports the idea that awareness and access to testing should be improved in order to improve survival rates in lung cancer in Brazil.
Objective: To evaluate the effect of waiting time (WT) to radiotherapy (RT) on overall survival (OS) of glioblastoma (GBM) patients as a reliable prognostic variable in Brazil, a scenario of medical disparities. Method: Retrospective study of 115 GBM patients from two different health-care institutions (one public and one private) in Brazil who underwent post-operative RT. Results: Median WT to RT was 6 weeks (range, 1.3-17.6). The median OS for WT # 6 weeks was 13.5 months (95%CI , 9.1-17.9) and for WT . 6 weeks was 14.2 months (95%CI, 11.2-17.2) (HR 1.165, 95%CI 0.770-1.762; p = 0.470). In the multivariate analysis, the variables associated with survival were KPS (p , 0.001), extent of resection (p = 0.009) and the adjuvant treatment (p = 0.001). The KPS interacted with WT to RT (HR 0.128, 95%CI 0.034-0.476; p = 0.002), showing that the benefit of KPS on OS depends on the WT to RT. Conclusion: No prognostic impact of WT to RT could be detected on the OS. Although there are no data to ensure that delays to RT are tolerable, we may reassure patients that the time-length to initiate treatment does not seem to influence the control of the disease, particularly in face of other prognostic factors.Keywords: glioblastoma, radiotherapy, waiting time, delay, prognosis, survival. RESUMOObjetivo: Avaliar o efeito do tempo de espera (TE) até radioterapia na sobrevida global de pacientes com glioblastoma como um fator prognóstico confiável. Método: Estudo retrospectivo de 115 pacientes com glioblastoma, que foram submetidos à radioterapia pós-operatória, em dois serviços diferentes no Brasil (um público e outro privado). Resultados: Mediana de TE para radioterapia foi de 6 semanas (variação, 1,3-17,6). A mediana de sobrevida para TE # 6 semanas foi de 13,5 meses (IC95%, 9,1-17,9) e para TE . 6 semanas foi de 14,2 meses (IC95%, 11,2-17,2) (HR 1,165, 0,762; p = 0,470). Na análise multivariada, as variáveis associadas à sobrevida foram perfomance status (p , 0,001), extensão da ressecção (p = 0,009) e tratamento adjuvante (p = 0,001). Conclusão: Não se observou impacto prognóstico para TE até a radioterapia na sobrevida. Diante de outros fatores prognósticos, é possível assegurar de que o espaço de tempo até a radioterapia não parece influenciar o controle da doença.Palavras-chave: glioblastoma, radioterapia, tempo de espera, atraso, prognóstico, sobrevida.
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