Dataset Information

Metabolic syndrome and risk of stroke: Protocol for an update systematic review and meta-analysis.

ABSTRACT:

Introduction

The metabolic syndrome is composed of several cardiovascular risk factors and has a high prevalence throughout the world. However, there are no systematic analyses or well-conducted meta-analyses to evaluate the relationship between metabolic syndrome and stroke. The aim of this study is to examine this association of metabolic syndrome with stroke in different ages and sex.

Methods and analysis

The 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 metabolic syndrome and stroke, had a longitudinal or prospective cohort design, were conducted among in adults aged 40 to 70 years, provided sufficient data for calculating ORs or relative risk with a 95% CI, were published as original articles written in English or other languages, and have been published until December 2017 will be included. Study selection, data collection, quality assessment, and statistical syntheses will be conducted based on discussions among investigators.

Ethics and dissemination

Ethics 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. The findings from this study could be useful for assessing metabolic syndrome risk factors in stroke, and determining approaches for prevention of stroke in the future.

SUBMITTER: Roever L

PROVIDER: S-EPMC5908602 | biostudies-literature | 2018 Apr

REPOSITORIES: biostudies-literature

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Publications

Metabolic syndrome and risk of stroke: Protocol for an update systematic review and meta-analysis.

Roever Leonardo L Resende Elmiro Santos ES Diniz Angélica Lemos Debs ALD Penha-Silva Nilson N O'Connell João Lucas JL Gomes Paulo Fernando Silva PFS Zanetti Hugo Ribeiro HR Roerver-Borges Anaisa Silva AS Veloso Fernando César FC Fidale Thiago Montes TM Casella-Filho Antonio A Dourado Paulo Magno Martins PMM Chagas Antonio Carlos Palandri ACP Ali-Hasan-Al-Saegh Sadeq S Reis Paulo Eduardo Ocke PEO Pinto Rogério de Melo RM Oliveira Gustavo B F GBF Avezum Álvaro Á Neto Mansueto M Durães André A Silva Rose Mary Ferreira Lisboa da RMFLD Grande Antonio José AJ Denardi Celise C Lopes Renato Delascio RD Nerlekar Nitesh N Alizadeh Shahab S Hernandez Adrian V AV Biondi-Zoccai Giuseppe G

Medicine 20180401 15

<h4>Introduction</h4>The metabolic syndrome is composed of several cardiovascular risk factors and has a high prevalence throughout the world. However, there are no systematic analyses or well-conducted meta-analyses to evaluate the relationship between metabolic syndrome and stroke. The aim of this study is to examine this association of metabolic syndrome with stroke in different ages and sex.<h4>Methods and analysis</h4>The update systematic review and meta-analysis will be conducted using pu ...[more]

PMID: 29642227

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Project description:Background and purposeOverweight/obesity is a modified risk factor for stroke. This systematic review and meta-analysis aimed to assess the impact of different obesity phenotypes on stroke risk in adults.MethodsThe PubMed, Embase, and Cochrane Library databases were searched from their inception to 7 March 2021 to identify the prospective cohort studies investigating stroke risk among different metabolic overweight/obesity phenotypes. The methodological quality of the included studies was evaluated using the Newcastle-Ottawa Scale. Pooled hazard ratios (HRs) with 95% confidence intervals (CIs) were calculated using a random-effects model.ResultsA total of eleven prospective cohorts (n = 5,609,945 participants) were included in the systematic review, nine of which were included in the meta-analysis. All metabolically unhealthy phenotypes had a higher risk of stroke than the metabolically healthy normal-weight phenotypes, including metabolically unhealthy normal weight (HR = 1.63, 95% CI: 1.41-1.89, I2 = 89.74%, n = 7 cohort studies, 1,042,542 participants), metabolically unhealthy overweight (HR = 1.94, 95% CI: 1.58-2.40, I2 = 91.17%, n = 4 cohort studies, 676,166 participants), and metabolically unhealthy obese (HR = 1.99, 95% CI: 1.66-2.40, I2 = 93.49%, n = 6 cohort studies, 1,035,420 participants) phenotypes. However, no risk of stroke was observed in the populations with metabolically healthy overweight (MHOW) (HR = 1.07, 95% CI: 1.00-1.14, I2 = 69.50%, n = 5 studies, 4,171,943 participants) and metabolically healthy obese (MHO) (HR = 1.07, 95% CI: 0.99-1.16, I2 = 54.82%, n = 8 studies, 5,333,485 participants) phenotypes. The subgroup analyses for the MHO studies suggested that the risk of stroke increased only when the MHO participants were mainly females, from North America, and when the World Health Organization standard was applied to define obesity. In the subgroup analysis of the risk of stroke in MHOW, a longer follow-up duration was also associated with a higher risk of stroke.ConclusionThe risk of stroke increase for all metabolically unhealthy phenotypes irrespective of the body mass index (BMI). The associated risk of stroke with metabolic health but high BMI shows substantial heterogeneity, which requires future research considering the impact of sex and transition of the metabolic status on the risk of stroke.Systematic review registrationThe study protocol was prospectively registered in PROSPERO (No. CRD42021251021).

Project description:BACKGROUND:Metabolic syndrome (MetS) is defined as an accumulation of risk factors that include chronic hypertension, dyslipidaemia, insulin resistance and obesity and leads to an increased risk for diabetes, cardiovascular disease and stroke. MetS is widespread and estimated to affect up to a quarter of the global population. Patients with MetS who undergo surgery are associated with an increased risk of postoperative complications when compared with patients with a non-MetS profile. An emerging body of literature points to MetS being associated with a greater risk of postoperative pulmonary complications (PPC) in the surgical patient. PPC are associated with increased postoperative morbidity and mortality, Intensive care unit (ICU) admission, length of stay (ICU and hospital), health care costs, resource usage, unplanned re-intubation and prolonged ventilatory time. METHODS/DESIGN:We will search for relevant studies in the following electronic bibliographic databases: EMBASE, MEDLINE, Cumulative Index to Nursing and Allied Health Literature (CINAHL) and Scopus as well as scan the reference lists of included studies for potential additional literature. Two authors will independently screen titles and abstracts to identify potentially relevant studies for inclusion based on predefined inclusion and exclusion criteria. The Cochrane Collaboration Review Manager (Review Manager 5) statistical software will be used to conduct this systematic review and meta-analysis and generate forest plots to demonstrate comparison of findings across studies included for meta-analysis. Subgroup and sensitivity analysis will be performed to assess the heterogeneity of included studies. A descriptive synthesis of the statistical data will be provided to summarise the results and findings of the systematic review and meta-analysis. DISCUSSION:This review will be the first to report and summarise the risk for and incidence of PPC in adult patients with MetS undergoing surgery across a range of surgical specialities. The results have the potential to inform the development of evidenced-based interventions to improve the management of PPC in the surgical patient with MetS. Findings from this systematic review and meta-analysis will inform a subsequent Delphi study on priorities and responses to PPC in patients with MetS. We will also disseminate our results through publication in scientific peer-reviewed journals, conference presentations and promotion throughout our network of surgical safety champions in clinical settings. SYSTEMATIC REVIEW REGISTRATION:PROSPERO CRD42019120279.

Dataset Information

Metabolic syndrome and risk of stroke: Protocol for an update systematic review and meta-analysis.

Introduction

Methods and analysis

Ethics and dissemination

Publications

Metabolic syndrome and risk of stroke: Protocol for an update systematic review and meta-analysis.

Similar Datasets

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