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      Association of Helicobacter pylori infection with the risk of metabolic syndrome and insulin resistance: an updated systematic review and meta-analysis

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          Abstract

          Background

          Conflicting results of recent studies on the association between Helicobacter pylori ( H. pylori) infection and the risk of insulin resistance and metabolic syndrome explored the need for updated meta-analysis on this issue. Therefore, this systematic review aimed to estimate the pooled effect of H. pylori infection on the risk of insulin resistance and metabolic syndrome.

          Methods

          To identify case–control studies and cohort studies evaluating the association of H. pylori infection with insulin resistance and metabolic syndrome, a comprehensive literature search was performed from international databases including Medline (PubMed), Web of Sciences, Scopus, EMBASE, and CINHAL from January 1990 until January 2021. We used odds ratio with its 95% confidence interval to quantify the effect of case–control studies and risk ratio with its 95% CI for the effect of cohort studies.

          Results

          22 studies with 206,911 participants were included for meta-analysis. The pooled estimate of odds ratio between H. pylori infection and metabolic syndrome in case–control studies was 1.19 (95% CI 1.05–1.35; I 2 = 0%), and in cohort studies, the pooled risk ratio was 1.31 (95% CI 1.13–1.51; I 2 = 0%). Besides, case–control studies showed the pooled odds ratio of 1.54 (95% CI 1.19–1.98; I 2 = 6.88%) for the association between H. pylori infection and insulin resistance.

          Conclusion

          In this meta-analysis, the results showed that there was a possibility of metabolic syndrome and insulin resistance in case of H. pylori infection.

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          Most cited references90

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          Measuring inconsistency in meta-analyses.

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            Quantifying heterogeneity in a meta-analysis.

            The extent of heterogeneity in a meta-analysis partly determines the difficulty in drawing overall conclusions. This extent may be measured by estimating a between-study variance, but interpretation is then specific to a particular treatment effect metric. A test for the existence of heterogeneity exists, but depends on the number of studies in the meta-analysis. We develop measures of the impact of heterogeneity on a meta-analysis, from mathematical criteria, that are independent of the number of studies and the treatment effect metric. We derive and propose three suitable statistics: H is the square root of the chi2 heterogeneity statistic divided by its degrees of freedom; R is the ratio of the standard error of the underlying mean from a random effects meta-analysis to the standard error of a fixed effect meta-analytic estimate, and I2 is a transformation of (H) that describes the proportion of total variation in study estimates that is due to heterogeneity. We discuss interpretation, interval estimates and other properties of these measures and examine them in five example data sets showing different amounts of heterogeneity. We conclude that H and I2, which can usually be calculated for published meta-analyses, are particularly useful summaries of the impact of heterogeneity. One or both should be presented in published meta-analyses in preference to the test for heterogeneity. Copyright 2002 John Wiley & Sons, Ltd.
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              Updated guidance for trusted systematic reviews: a new edition of the Cochrane Handbook for Systematic Reviews of Interventions

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                Author and article information

                Contributors
                mobinaz98@yahoo.com
                baradaran98@gmail.com
                dehghan.hojat@yahoo.com
                parisakohnehpooshi@gmail.com
                Lotfollahsaed@yahoo.com
                moradkhaniasra@gmail.com
                farhadmepid@yahoo.com
                Yousefmoradi211@yahoo.com
                Journal
                Diabetol Metab Syndr
                Diabetol Metab Syndr
                Diabetology & Metabolic Syndrome
                BioMed Central (London )
                1758-5996
                18 December 2021
                18 December 2021
                2021
                : 13
                : 145
                Affiliations
                [1 ]GRID grid.484406.a, ISNI 0000 0004 0417 6812, Student Research Committee, , Kurdistan University of Medical Sciences, ; Sanandaj, Iran
                [2 ]GRID grid.7107.1, ISNI 0000 0004 1936 7291, Ageing Clinical & Experimental Research Team, Institute of Applied Health Sciences, , University of Aberdeen, ; Aberdeen, UK
                [3 ]GRID grid.411746.1, ISNI 0000 0004 4911 7066, Endocrine Research Center, Institute of Endocrinology and Metabolism, , Iran University of Medical Sciences, ; Sanandaj, Iran
                [4 ]GRID grid.411705.6, ISNI 0000 0001 0166 0922, Students Scientific Research Center, , Tehran University of Medical Sciences, ; Tehran, Iran
                [5 ]GRID grid.484406.a, ISNI 0000 0004 0417 6812, Department of Endocrinology, Faculty of Medicine, , Kurdistan University of Medical Science, ; Sanandaj, Iran
                [6 ]GRID grid.484406.a, ISNI 0000 0004 0417 6812, Social Determinants of Health Research Center, Research Institute for Health Development, , Kurdistan University of Medical Science, ; Sanandaj, Iran
                [7 ]GRID grid.484406.a, ISNI 0000 0004 0417 6812, Department of Biostatics and Epidemiology, Faculty of Medicine, , Kurdistan University of Medical Science, ; Sanandaj, Iran
                Author information
                http://orcid.org/0000-0002-2936-5930
                Article
                765
                10.1186/s13098-021-00765-x
                8684139
                34922625
                0354780d-25ce-4094-b4fd-6ef4fe774178
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 6 August 2021
                : 30 November 2021
                Categories
                Research
                Custom metadata
                © The Author(s) 2021

                Nutrition & Dietetics
                helicobacter pylori,insulin resistance,metabolic syndrome,systematic review,meta-analysis

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