12 research outputs found

    Fatores prognósticos no carcinoma espinocelular de cavidade oral Prognostic factors in squamous cell carcinoma of the oral cavity

    No full text
    Devido à incerteza da evolução do câncer oral é que os pesquisadores procuram fatores que possam influenciar no prognóstico. OBJETIVO: Avaliar em pacientes com carcinoma espinocelular de cavidade oral variáveis que possam influenciar no tempo de sobrevida. MATERIAIS E MÉTODOS: Analisados dados de 45 pacientes no período de Janeiro de 2001 a Janeiro de 2006. As curvas de sobrevida foram estimadas pelo método de Kaplan-Meier e para compará-las os testes de log-rank e o modelo de regressão de Cox. Desenho do Estudo: Análise retrospectiva. RESULTADOS: A sobrevida global foi de 39% em 5 anos. Apenas as variáveis, metástase cervical (p=0,017), radioterapia pós-operatória (p=0,056) e margens comprometidas (p=0,004) tiveram significância estatística. A sobrevida foi menor em pacientes: com metástase cervical; com margens comprometidas e os submetidos à radioterapia pós-operatória, ou seja, nos tumores mais agressivos. Após ajustamento, a radioterapia não mostrou significância estatística. Provavelmente a sobrevida de 39% seja pelo elevado número de pacientes com metástase (52,2%) e pelo fato da amostra ser basicamente de cânceres de língua e assoalho (82%), os de controle mais difícil. CONCLUSÃO: A metástase cervical e o comprometimento das margens cirúrgicas são os fatores prognósticos no carcinoma de cavidade oral que influenciaram na sobrevida.<br>Researchers have been looking for factors that can influence the prognosis of oral cancer, because its outcome is highly uncertain. AIM: To evaluate variables that can impact the survival rate of patients with squamous-cell carcinoma of the oral cavity. MATERIAL AND METHODS: Data analysis of 45 patients from January, 2001 to January, 2006. Survival rate curves have been estimated using the Kaplan-Meier method and they have been compared through the log-rank test and the Cox regression standard. Study design: Retrospective analysis. RESULTS: Total five-year survival rate was of 39% fpr these patients. Only the neck metastases (p=0.017), postoperative radiotherapy (p=0.056) and diseased margin(p=0.004) variables had statistic relevance. Survival rate was lower in patients with neck metastases, margins involved and those who underwent postoperative radiotherapy, in other words, those with the most aggressive tumors. After adjustment, radiotherapy did not prove to be statistically relevant. It is likely that the survival rate of 39% was due to the high number of patients with metastasis (52%) and because the samples were mostly of tongue and mouth floor diseases (82%), which are the hardest to control. CONCLUSION: Neck metastases and diseased margins of oral cavity carcinomas are the prognostic factors that can most impact the survival rate

    Mineração de dados e características da mortalidade infantil Data mining and characteristics of infant mortality

    No full text
    O estudo busca identificar padrões de características materno-fetais na predição da mortalidade infantil, por meio da incorporação de técnicas inovadoras, como a Mineração de Dados, que se mostram relevantes em Saúde Pública. Foi elaborada uma base de dados, com óbitos infantis analisados pelos Comitês de Prevenção da Mortalidade Infantil de 2000 a 2004, a partir da integração dos Sistemas de Informações de Nascidos Vivos, da Mortalidade e da Investigação da Mortalidade Infantil no Estado do Paraná. O programa da mineração foi o WEKA, de uso livre. A mineração faz busca em banco de dados e fornece regras que devem ser analisadas para transformação em informação útil. Após a mineração, selecionaram-se 4.230 regras, por exemplo: mãe adolescente e peso ao nascer < 2.500g, ou parto pós-termo e mãe adolescente com outro filho, ou com afecções maternas, aumentam o risco para óbito neonatal. Vê-se a necessidade de estabelecer maior atenção às adolescentes, às crianças com peso ao nascer < 2.500g, pós-termo e filhas de mães com afecções maternas, confirmando resultados de outros estudos.<br>This study aims to identify patterns in maternal and fetal characteristics in the prediction of infant mortality by incorporating innovative techniques like data mining, with proven relevance for public health. A database was developed with infant deaths from 2000 to 2004 analyzed by the Committees for the Prevention of Infant Mortality, based on integration of the Information System on Live Births (SINASC), Mortality Information System, and Investigation of Infant Mortality in the State of Paraná. The data mining software was WEKA (open source). The data mining conducts a database search and provides rules to be analyzed to transform the data into useful information. After mining, 4,230 rules were selected: teenage pregnancy plus birth weight < 2,500g, or post-term birth plus teenage mother with a previous child or intercurrent conditions increase the risk of neonatal death. The results highlight the need for greater attention to teenage mothers, newborns with birth weight < 2,500g, post-term neonates, and infants of mothers with intercurrent conditions, thus corroborating other studies

    Phylogeny, biogeography and divergence times in Passiflora (Passifloraceae)

    Get PDF
    As part of a long-term investigation on the evolution of Passiflora L., we investigated the divergence ages of the genus and diversification of its subgenera, relating them with biogeographical and/or historical events, and other characteristics of this taxon. The main aim of the present work was to evaluate the biogeographic distribution of this genus to better understand its evolutionary history. This is the first time that representatives from South American and Old World Passifloraceae genera have been studied as a group comprising a total of 106 widely distributed species, with representative samples of the four suggested subgenera. Seven DNA regions were studied, comprising 7,431 nucleotides from plastidial, mitochondrial and nuclear genomes. Divergence time estimates were obtained by using a Bayesian Markov Chain Monte Carlo method and a random local clock model for each partition. Three major subgenera have been shown to be monophyletic and here we are proposing to include another subgenus in the Passiflora infrageneric classification. In general, divergence among the four subgenera in Passiflora is very ancient, ranging from ~32 to ~38 Mya, and Passifloraceae seems to follow a biogeographic scenario proposed for several plant groups, originating in Africa, crossing to Europe/Asia and arriving in the New World by way of land bridges. Our results indicated that Passiflora ancestors arrived in Central America and diversified quickly from there, with many long distance dispersion events
    corecore