Artigo Acesso aberto Produção Nacional

Efficacy and safety of pharmacological interventions in metabolic syndrome: protocol for systematic review and network meta-analysis

2018; Volume: 2; Issue: 4 Linguagem: Inglês

10.15761/gmo.1000138

ISSN

2515-4737

Autores

Leonardo Roever, Elmiro Santos Resende, AngelicaLemo Debs Diniz, Nilson Penha‐Silva, João Lucas O’Connell, Fernanda Rodrigues de Souza, Poliana Rodrigues Alves Duarte, Paulo Fernando Silva Gomes, Hugo Ribeiro Zanetti, Anaisa Silva Roerver-Borges, Fernando César Veloso, Thiago Montes Fidale, Antonio Casella–Filho, Paulo Magno Martins Dourado, Antônio Carlos Palandri Chagas, Sadeq Ali‐Hasan‐Al‐Saegh, Paulo Eduardo Ocke Reis, Rogério de MeloCosta Pinto, Gustavo B.F. Oliveira, Álvaro Avezum, Mansueto Neto, André Rodrigues Durães, Rose Mary Ferreira Lisboa da Silva, Antônio José Grande, Celise Denardi, Renato D. Lópes, Nitesh Nerlekar, Shahab Alizadeh, Adrían V. Hernández, Maria Inês da Rosa, Gary Tse, Tong Liu, Giuseppe Biondi‐Zoccai,

Tópico(s)

Meta-analysis and systematic reviews

Resumo

Introduction:The prevalence of metabolic syndrome (MetS) and MetS-related stroke is set to increase dramatically in coming decades.MetS is a complex disease that includes endothelial dysfunction, insulin resistance, diabetes, hypertension, ectopic obesity, and dyslipidaemia and an increased risk of cardiovascular events.This study aims to fill this gap of research by conducting a Bayesian network meta-analysis to compare major drugs to treat MetS. Methods and analysis:We will search the PubMed, EMBASE, Cochrane Library, Web of Science, Embase, google scholar, clinical trials registry (ClinicalTrials.gov) for unpublished or undergoing research listed in registry platforms.Randomized controlled trials (RCTs) on the drug therapy of MetS with outcome measures including diagnostic criteria of MetS will be included.The quality of included RTCs will be evaluated according to the Cochrane Collaboration's risk of bias tool.Traditional pairwise meta-analysis and Bayesian network meta-analysis will be conducted to compare the efficacies of antidiabetic drugs.Sensitivity analysis on the sample size of RCTs, meta-regression analysis on the follow-up periods, dosages and baselines of outcome measure, contradiction analysis between pairwise and network meta-analyses, and publication bias analysis, will be performed.Randomized controlled trials (RCTs) on the drug therapy of MetS with outcome measures criteria of MetS diagnostic will be included.The quality of included RTCs will be evaluated according to the Cochrane Collaboration's risk of bias tool.Traditional pairwise meta-analysis and Bayesian network meta-analysis will be conducted to compare the efficacies of drugs.Sensitivity analysis on the sample size of RCTs, meta-regression analysis on the follow-up periods, dosages and baselines of outcome measure, contradiction analysis between pairwise and network meta-analyses, and publication bias analysis, will be performed.

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