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Algorithm for the treatment of type 2 diabetes: a position statement of Brazilian Diabetes Society.
Lerario, Antonio C; Chacra, Antonio R; Pimazoni-Netto, Augusto; Malerbi, Domingos; Gross, Jorge L; Oliveira, José Ep; Gomes, Marilia B; Santos, Raul D; Fonseca, Reine Mc; Betti, Roberto; Raduan, Roberto.
Afiliação
  • Lerario AC; Medicine School of State University of Rio de Janeiro, Rio de Janeiro, Brazil. mariliabgomes@uol.com.br.
Diabetol Metab Syndr ; 2(1): 35, 2010 Jun 08.
Article em En | MEDLINE | ID: mdl-20529311
The Brazilian Diabetes Society is starting an innovative project of quantitative assessment of medical arguments of and implementing a new way of elaborating SBD Position Statements. The final aim of this particular project is to propose a new Brazilian algorithm for the treatment of type 2 diabetes, based on the opinions of endocrinologists surveyed from a poll conducted on the Brazilian Diabetes Society website regarding the latest algorithm proposed by American Diabetes Association /European Association for the Study of Diabetes, published in January 2009.An additional source used, as a basis for the new algorithm, was to assess the acceptability of controversial arguments published in international literature, through a panel of renowned Brazilian specialists. Thirty controversial arguments in diabetes have been selected with their respective references, where each argument was assessed and scored according to its acceptability level and personal conviction of each member of the evaluation panel.This methodology was adapted using a similar approach to the one adopted in the recent position statement by the American College of Cardiology on coronary revascularization, of which not only cardiologists took part, but also specialists of other related areas.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies País/Região como assunto: America do sul / Brasil Idioma: En Ano de publicação: 2010 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies País/Região como assunto: America do sul / Brasil Idioma: En Ano de publicação: 2010 Tipo de documento: Article