Literature DB >> 33545979

The effects and acceptability of different exercise modes on glycemic control in type 2 diabetes mellitus: A protocol for systematic review and network meta-analysis.

Yuanlong Shen1, Lina Yu1, Zhen Hua2, Ningxin Jia1, Yanan Zhou1, Xiaosheng Dong3, Meng Ding1.   

Abstract

INTRODUCTION: Exercise has been believed to have positive effects on blood glucose control in patients with type 2 diabetes mellitus. However, few medical evidences have been found to ascertain which type of exercise has the best effect on blood glucose control in diabetes and which type of exercise is more acceptable. The purpose of this study is to compare the effects and acceptability of different exercise modes on glycemic control in type 2 diabetes patients by using systematic review and network meta-analysis. METHODS AND ANALYSIS: Relevant randomized controlled trial studies will be searched from PubMed, EMbase, CochraneCENTRAL, CNKI, VIP, and Chinese medical paper libraries. Primary outcome indicators: glycosylated hemoglobin and dropout rate of the research (number of dropouts/numbers of initially enrolled subjects). Secondary outcome measures: fasting blood glucose, body weight, total cholesterol (TC), low-density lipoprotein cholesterol (LDL), high-density lipoprotein cholesterol, triglycerides (TG), diastolic pressure, systolic pressure (SBP). Two reviewers are arranged to screen Title, Abstract, and then review full text to further extract data. Standard meta-analysis and network meta-analysis of the data are performed afterward. Methodological quality assessment is planned to be conducted using Cochrane risk of bias tool. The outcome will be analyzed statistically according to Bayesian analysis methods. After that, subgroup analysis is conducted on the duration of intervention, whether there is supervision of intervention, frequency of intervention per week, age, gender, and medication use. TRIAL REGISTRATION NUMBER: PROSPERO CRD42020175181. DISCUSSION: The systematic review and network meta-analysis include evidence of the impact of different exercise modes on blood glucose control in type 2 diabetes mellitus. There are 2 innovative points in this study. One is to conduct a classified study on exercise in as much detail as possible, and the other is to study the acceptability of different exercise modes. The network meta-analysis will reduce the uncertainty of intervention and enable clinicians, sports practitioners, and patients to choose more effective and suitable exercise methods. ETHICS AND DISSEMINATION: The findings of the study will be disseminated through publications in peer-reviewed journals and scientific conferences and symposia. Further, no ethical approval is required in this study.
Copyright © 2021 the Author(s). Published by Wolters Kluwer Health, Inc.

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Mesh:

Year:  2021        PMID: 33545979      PMCID: PMC7837820          DOI: 10.1097/MD.0000000000023963

Source DB:  PubMed          Journal:  Medicine (Baltimore)        ISSN: 0025-7974            Impact factor:   1.889


  35 in total

1.  GRADE guidelines: 1. Introduction-GRADE evidence profiles and summary of findings tables.

Authors:  Gordon Guyatt; Andrew D Oxman; Elie A Akl; Regina Kunz; Gunn Vist; Jan Brozek; Susan Norris; Yngve Falck-Ytter; Paul Glasziou; Hans DeBeer; Roman Jaeschke; David Rind; Joerg Meerpohl; Philipp Dahm; Holger J Schünemann
Journal:  J Clin Epidemiol       Date:  2010-12-31       Impact factor: 6.437

Review 2.  The effects of high-intensity interval training on glucose regulation and insulin resistance: a meta-analysis.

Authors:  C Jelleyman; T Yates; G O'Donovan; L J Gray; J A King; K Khunti; M J Davies
Journal:  Obes Rev       Date:  2015-11       Impact factor: 9.213

3.  Impact of Exercise Training on Cardiac Function Among Patients With Type 2 Diabetes: A SYSTEMATIC REVIEW AND META-ANALYSIS.

Authors:  Vidhu Anand; Sushil Garg; Jalaj Garg; Shah Bano; Marc Pritzker
Journal:  J Cardiopulm Rehabil Prev       Date:  2018-11       Impact factor: 2.081

4.  The Cochrane Collaboration's tool for assessing risk of bias in randomised trials.

Authors:  Julian P T Higgins; Douglas G Altman; Peter C Gøtzsche; Peter Jüni; David Moher; Andrew D Oxman; Jelena Savovic; Kenneth F Schulz; Laura Weeks; Jonathan A C Sterne
Journal:  BMJ       Date:  2011-10-18

5.  Consistency and inconsistency in network meta-analysis: concepts and models for multi-arm studies.

Authors:  J P T Higgins; D Jackson; J K Barrett; G Lu; A E Ades; I R White
Journal:  Res Synth Methods       Date:  2012-06       Impact factor: 5.273

Review 6.  Network meta-analysis using R: a review of currently available automated packages.

Authors:  Binod Neupane; Danielle Richer; Ashley Joel Bonner; Taddele Kibret; Joseph Beyene
Journal:  PLoS One       Date:  2014-12-26       Impact factor: 3.240

Review 7.  Clinical outcomes and glycaemic responses to different aerobic exercise training intensities in type II diabetes: a systematic review and meta-analysis.

Authors:  Aimee Grace; Erick Chan; Francesco Giallauria; Petra L Graham; Neil A Smart
Journal:  Cardiovasc Diabetol       Date:  2017-03-14       Impact factor: 9.951

8.  Aerobic Interval Training and Cardiometabolic Health in Patients with Type 2 Diabetes: A Meta-Analysis.

Authors:  Shanhu Qiu; Xue Cai; Zilin Sun; Martina Zügel; Jürgen M Steinacker; Uwe Schumann
Journal:  Front Physiol       Date:  2017-11-23       Impact factor: 4.566

Review 9.  The Role of Aerobic Training Variables Progression on Glycemic Control of Patients with Type 2 Diabetes: a Systematic Review with Meta-analysis.

Authors:  Rodrigo Sudatti Delevatti; Cláudia Gomes Bracht; Salime Donida Chedid Lisboa; Rochelle Rocha Costa; Elisa Corrêa Marson; Nathalie Netto; Luiz Fernando Martins Kruel
Journal:  Sports Med Open       Date:  2019-06-07

10.  Association of traditional Chinese exercises with glycemic responses in people with type 2 diabetes: A systematic review and meta-analysis of randomized controlled trials.

Authors:  Ge Song; Changcheng Chen; Juan Zhang; Lin Chang; Dong Zhu; Xueqiang Wang
Journal:  J Sport Health Sci       Date:  2018-08-25       Impact factor: 7.179

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