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Meta Analysis
High-density lipoprotein-cholesterol functionality and metabolic syndrome: Protocol for review and meta-analysis.
- Leonardo Roever, Elmiro Santos Resende, Angélica Lemos Debs Diniz, Nilson Penha-Silva, João Lucas O'Connell, Paulo Fernando Silva Gomes, Hugo Ribeiro Zanetti, Anaisa Silva Roerver-Borges, Fernando César Veloso, Fernanda Rodrigues de Souza, Poliana Rodrigues Alves Duarte, Thiago Montes Fidale, Antonio Casella-Filho, Paulo Magno Martins Dourado, Antonio Carlos Palandri Chagas, Sadeq Ali-Hasan-Al-Saegh, Paulo Eduardo Ocke Reis, Rogério de Melo Costa Pinto, Gustavo B F Oliveira, Álvaro Avezum, Mansueto Neto, André Rodrigues Durães, SilvaRose Mary Ferreira Lisboa daRMFLD, Antonio José Grande, Celise Denardi, Renato Delascio Lopes, Nitesh Nerlekar, Shahab Alizadeh, Adrian V Hernandez, RosaMaria Inês daMID, Giuseppe Biondi-Zoccai, and Brazilian Network of Research in Meta-analysis (BRAMETIS).
- Federal University of Uberlândia, Department of Clinical Research, Heart Institute (InCor), Master Institute of Education President Antonio Carlos, IMEPAC, Araguari Department of Clinical Research, HCFMUSP- University of São Paulo Medical School, Department of Cardiology, São Paulo Department of Cardiology, Faculty of Medicine ABC, Santo André, Brazil Department of Cardiology, Cardiovascular Research Center, Shahid Sadoughi University of Medical Sciences, Yazd, Iran Department of Specialized and General Surgery, Fluminense Federal University, Rio de Janeiro Department of Clinical Research, Dante Pazzanese Institute of Cardiology, São Paulo Department of Health and Sciences, Graduate Program in Medicine and Health, Federal University of Bahia, Bahia Department of Cardiology, Federal University of Minas Gerais, MG Department of Medicine, Federal University of Mato Grosso, MT Department of Clinical Research, FOP Unicamp, Sao Paulo, Brazil Department of Clinical Research, Division of Cardiology, Duke University Medical Center, Durham, NC Department of Cardiology, Monash Cardiovascular Research Centre and MonashHeart, Clayton, Victoria, Australia Department of Medicine, Tehran University of Medical Sciences, Tehran, Iran Department of Comparative Effectiveness and Outcomes Research Health Outcomes, University of Connecticut/Hartford Hospital Evidence-Based Practice Center, Hartford, CT Laboratory of Epidemiology, University of Extremo Sul Catarinense, Criciúma, Brazil Department of Medico-Surgical Sciences and Biotechnologies, Sapienza University of Rome, Latina Department of Angiocardioneurology, IRCCS Neuromed, Pozzilli, Italy.
- Medicine (Baltimore). 2018 Jun 1; 97 (24): e11094e11094.
IntroductionThe 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. One function of high-density lipoprotein (HDL) cholesterol (HDL-C) is the cholesterol-efflux pathway, which is the pathway where cholesterol is removed from macrophages within the arterial walls back into the bloodstream and out to the liver. As one of the key functions of HDL, their hypothesis was that if they could measure HDL-C-efflux capacity, they would have a better handle on the role of HDL in atherosclerosis. However, there are no systematic analyses or well-conducted meta-analyses to evaluate the relationship between HDL-C functionality and MetS. The aim of this study is to examine this association of HDL-C functionality with MetS in different ages and sex.Methods And AnalysisThe update systematic review and meta-analysis will be conducted using published studies that will be identified from electronic databases (i.e., PubMed, EMBASE, Web of Science, and Google Scholar). Studies that examined the association between HDL-C functionality and MetS; focused on cohort, case-control, and cross-sectional studies; were conducted among in adults aged 40 to 70 years; provided sufficient data for calculating odds ratio or relative risk with a 95% confidence interval; were published as original articles written in English or other languages; and have been published until January 2018 will be included. Study selection, data collection, quality assessment, and statistical syntheses will be conducted based on discussions among investigators.Ethics And DisseminationEthics approval was not required for this study because it was based on published studies. The results and findings of this study will be submitted and published in a scientific peer-reviewed journal.Trial Registration NumberPROSPERO (CRD42018083465).
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