3 research outputs found
Mapeamento da produção científica sobre a agricultura familiar nos programas de pós-graduações: teses defendidas no Brasil, 2000-2009
No full textDissertação (mestrado) - Universidade Federal de Santa Catarina, Centro de Ciências da Educação. Programa de Pós-Graduação em Ciência da InformaçãoA pesquisa concerne num mapeamento da produção científica em teses de doutorado sobre agricultura familiar produzidas no período de 2000 a 2009 nos programas de pós-graduação reconhecidos pela Capes no Brasil. Elege como fonte para a coleta de dados o Banco de Teses e Dissertações da Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES). Quanto a metodologia a pesquisa é exploratória, com abordagem qualiquantitativa, o procedimento técnico é documental e quanto a análise de conteúdo usou-se o método de Bardin. Caracteriza as teses com base nas seguintes variáveis: gênero da autoria, origem dos trabalhos (universidade, programa, área do conhecimento, linha de pesquisa), orientadores e suas abordagens. Compõem o corpus da pesquisa 154 teses que possuem como foco principal de abordagem a agricultura familiar. As teses foram selecionadas nessa perspectiva a partir da estratégia restrita de busca para a recuperação com o termo: agricultura familiar. Os resultados mostram que: o desenvolvimento de teses com a temática com o foco principal em agricultura familiar teve crescimento gradual no número anual de produções a partir de 2000, com intensificação a partir de 2007, atingindo no ano de 2009, 33 defesas. Em relação à região de sua defesa destacam-se as instituições localizadas nas regiões Sul (UFPR, UFRGS, UFSC, UFPEL, UEL, UNISINOS) e Sudeste (UNICAMP, UNESP, UFV, USP, UFRRJ, PUCSP, UFRJ, UFSCAR, UFLA, UFMG), que são responsáveis por 73% do total das teses. Os orientadores mais produtivos nessa temática estão vinculados às instituições UFPR, UNICAMP, UNB, UFRGS, UFSC, UNESP, UFPB, UEL. As áreas do conhecimento dos programas que se destacam na pesquisa da temática agricultura familiar são Sociologia (23 teses), Agronomia (22 teses) e Cursos Interdisciplinares (15 teses), embora tenha sido objeto de abordagem em 30 diferentes áreas do conhecimento. Observa-se que 58% dessas teses foram produzidas por homens; na análise temática foram identificadas 121 teses que tratam de temas relacionados mais diretamente ao desenvolvimento rural e 21 à produção rural propriamente dita. Abordagens únicas de 12 teses foram agrupadas em uma categoria denominada outros. No cômputo geral sobressaíram as abordagens cujo enfoque principal foi dirigido para ações, políticas e atores como abordagens voltadas para o desenvolvimento rural, abrangendo 73 teses nas quais estão incluídos trabalhos que trataram de ações educativas (16 teses); políticas públicas (13 teses), gestão (10 teses), assentamento (7 teses), associativismo (7 teses), enfoques direcionados a atores específicos (6 teses), trabalho (6 teses), pluriatividade (5 teses) e legislação (3 teses). Conclui que o mapeamento realizado possibilitou inventariar a produção realizada no período analisado e mostrar indícios de que as abordagens são influenciadas pelo meio e pelo contexto, visto que os estados com maior número de produção em teses sobre a temática agricultura familiar são os que apresentam a atividade deste segmento da economia mais estruturada e desenvolvidaThis thesis gathers data from doctoral dissertations about familiar agriculture defended at Brazilian graduate programs recognized by the Committee for Postgraduate Courses in Higher Education (CAPES) in the period of 2000 to 2009. The bank of thesis and dissertations from CAPES was consulted to gather the data. The doctoral dissertations were then organized according to the variables of gender of the author, work origin (university, program, area of investigation, line of research), advisors, and to their content. The corpus has 157 doctoral dissertations whose main focus was on familiar agriculture since it was the expression adopted to search for the dissertations. The results indicate that (a) the number of doctoral dissertations about familiar agriculture gradually increase from the year 2000, especially after the year 2007, gathering a number of 33 doctoral dissertations in the year 2009; (b) among universities where the doctoral defenses occurred appear universities such as UFPR, UFRGS, UFSC, UFPEL, UEL, UNISINOS from the South of Brazil, and UNICAMP, UNESP, UFV, USP, UFRRJ, PUC-SP, UFRJ, UFSCAR, UFLA, UFMG from the Southeast of the country responsible for about 73% of the doctoral dissertations on familiar agriculture; (c) among the professors, who are considered to be more productive in this area, work at UFPR, UNICAMP, UNB, UFRGS, UFSC, UNESP, UFPB, UEL; among the areas of investigation, 33 doctoral dissertations were defended at the graduate programs in Sociology, 22 in graduate programs in Agronomy, 15 in interdisciplinary programs but the theme familiar agriculture was studies in 31 different programs; (d) 58% of the dissertations were written by men; (e) 122 dissertations discussed any aspect of rural development, 21 discussed the rural production itself and the remaining ones discussed specific themes and were thus grouped in another group called Others; (f) among the 73 dissertations that discussed the theme of rural development, sixteen of them discussed theme of education, thirteen discussed public policies, ten discussed management, seven discussed settlement, seven discussed associations, six were devoted to specific actors, six discussed work, five discussed pluriactivity and three discussed legislation. Thus, I concluded that it was possible to search for the dissertations defended in the period from 2000 to 2009 and bring initial evidences that themes investigated are influenced by the context since the majority of the dissertations on familiar agriculture have been defended in which it represents an important segment on their economy and is better structure and develope
Temporal validation of the MMCD score to predict kidney replacement therapy and in-hospital mortality in COVID-19 patients
No full textBackground: Acute kidney injury has been described as a common complication in patients hospitalized with COVID-19, which may lead to the need for kidney replacement therapy (KRT) in its most severe forms. Our group developed and validated the MMCD score in Brazilian COVID-19 patients to predict KRT, which showed excellent performance using data from 2020. This study aimed to validate the MMCD score in a large cohort of patients hospitalized with COVID-19 in a different pandemic phase and assess its performance to predict in-hospital mortality. Methods: This study is part of the “Brazilian COVID-19 Registry”, a retrospective observational cohort of consecutive patients hospitalized for laboratory-confirmed COVID-19 in 25 Brazilian hospitals between March 2021 and August 2022. The primary outcome was KRT during hospitalization and the secondary was in-hospital mortality. We also searched literature for other prediction models for KRT, to assess the results in our database. Performance was assessed using area under the receiving operator characteristic curve (AUROC) and the Brier score. Results: A total of 9422 patients were included, 53.8% were men, with a median age of 59 (IQR 48–70) years old. The incidence of KRT was 8.8% and in-hospital mortality was 18.1%. The MMCD score had excellent discrimination and overall performance to predict KRT (AUROC: 0.916 [95% CI 0.909–0.924]; Brier score = 0.057). Despite the excellent discrimination and overall performance (AUROC: 0.922 [95% CI 0.914–0.929]; Brier score = 0.100), the calibration was not satisfactory concerning in-hospital mortality. A random forest model was applied in the database, with inferior performance to predict KRT requirement (AUROC: 0.71 [95% CI 0.69–0.73]). Conclusion: The MMCD score is not appropriate for in-hospital mortality but demonstrates an excellent predictive ability to predict KRT in COVID-19 patients. The instrument is low cost, objective, fast and accurate, and can contribute to supporting clinical decisions in the efficient allocation of assistance resources in patients with COVID-19.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Medical School and University Hospital Universidade Federal de Minas Gerais, Av. Professor Alfredo Balena, 190Department of Internal Medicine Medical School Universidade Federal de Minas Gerais, Av. Professor Alfredo Balena, 190Institute for Health Technology Assessment (IATS/ CNPq), R. Ramiro Barcelos, 2359Department of Statistics Universidade Federal de Minas Gerais, Av. Presidente Antônio Carlos, 6627Universidade Federal Dos Vales Do Jequitinhonha E Mucuri (UFVJM), R. Cruzeiro, 01. , Minas GeraisHospital Risoleta Tolentino Neves, R. das Gabirobas, 01Faculdade de Ciências Médicas de Minas Gerais, Al. Ezequiel Dias, 275, Minas GeraisHospitais da Rede Mater Dei, Av. Do Contorno, 9000Hospital Metropolitano Odilon Behrens, R. Formiga, 50Hospital Júlia Kubitschek, Av. Professor Alfredo Balena, 190Hospital Santa Rosália, R. Do Cruzeiro, 01Computer Science Department Universidade Federal de Minas Gerais, Av. Presidente Antônio Carlos, 6627Botucatu Medical School Universidade Estadual Paulista “Júlio de Mesquita Filho”, Av. Prof. Mário Rubens Guimarães MontenegroHospital São João de Deus (Fundação Geraldo Correa), R. Do Cobre, 800Hospital SOS Cárdio, Rod. SC-401, 121Hospital Mãe de Deus, R. José de Alencar, 286Hospital Universitário Canoas, Av. Farroupilha, 8001Hospital Nossa Senhora da Conceição, Av. Francisco Trein, 326Hospital Metropolitano Doutor Célio de Castro, R. Dona Luiza, 311Hospital Santo Antônio, Pç. Dr. Márcio Carvalho Lopes Filho, 501Universidade José Do Rosário Vellano (UNIFENAS), R. Boaventura, 50Santa Casa de Misericórdia de Belo Horizonte, Av. Francisco Sales, 1111Medical School Universidade Federal da Fronteira Sul, SC-484 Km 02Hospital Universitário de Santa Maria, Av. Roraima, 1000, Prédio 22Hospital Universitário Ciências Médicas de Minas Gerais, R. Dos Aimorés, 2896Hospital Bruno Born, Av. Benjamin Constant, 881Hospital Santa Cruz, R. Fernando Abott, 174Hospital João XXIII, Av. Professor Alfredo Balena, 400Hospital Eduardo de Menezes, R. Dr. Cristiano Rezende, 2213Orizonti Instituto de Saúde E Longevidade, Av. José Do Patrocínio Pontes, 1355Hospital Semper, Al. Ezequiel Dias, 389Telehealth Center University Hospital Universidade Federal de Minas Gerais, Av. Professor Alfredo Balena, 110Botucatu Medical School Universidade Estadual Paulista “Júlio de Mesquita Filho”, Av. Prof. Mário Rubens Guimarães Montenegr
Additional file 1 of Temporal validation of the MMCD score to predict kidney replacement therapy and in-hospital mortality in COVID-19 patients
No full textAdditional file 1: Table S1. Demographic, clinical characteristics, and outcomes of the patients hospitalized with COVID-19, considering death and discharge, 2021/2022
