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      Umbrella review protocol: Global burden and risk factors of erectile dysfunction in diabetic population

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          Abstract

          Background

          Erectile dysfunction (ED) is no longer a whisper in the shadows; it's a rising tide threatening the sexual health of millions of men in different regions. This worrying trend shows no signs of slowing down, with projections claiming a staggering 322 million men globally could be affected in the near future. In the cases of diabetes, the condition worsens and has a potent cocktail of physical and psychological distress, chipping away at men's confidence, self‐esteem, and mental health. This urgent issue demands immediate attention and action. Thus, this umbrella review intended to estimate the current burden of ED and associated risk factors among diabetic patients in the global context.

          Methods

          Following PRISMA guidelines will be searched for relevant Systematic Review and Meta‐analysis studies in PubMed, Embase, Scopus, Web of Science, Cochrane Database of Systematic Reviews, and Google Scholar. The quality of the included studies will be assessed using the new regress tool, the Assessment of Multiple Systematic Reviews 2 tool. To estimate the pooled prevalence of ED, we will employ a weighted inverse variance random‐effects model. We will further conduct subgroup analyses, assess heterogeneity and publication bias, and perform sensitivity analyses to strengthen the robustness of our findings. Prediction intervals will also calculated to estimate the range within which future observations will likely fall. In all statistical analyses, the statistical significance will be declared at p value < 0.05.

          Discussion

          This umbrella review of systemic review and meta‐analysis will be the first to systematically explore and integrate evidence regarding the burden of ED and associated risk factors in the diabetic population in a global context. By estimating the worldwide burden and identifying risk factors of ED in this population, the study will contribute to uncovering the hidden burden. Thereby, the issue will get international attention to reduce its consequences on the sexual health of the diabetic population. Besides, it will also provide input and direction for future research outlook.

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          Most cited references42

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          Measuring inconsistency in meta-analyses.

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            Bias in meta-analysis detected by a simple, graphical test

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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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                Author and article information

                Contributors
                tegene2013@gmail.com
                Journal
                Health Sci Rep
                Health Sci Rep
                10.1002/(ISSN)2398-8835
                HSR2
                Health Science Reports
                John Wiley and Sons Inc. (Hoboken )
                2398-8835
                30 May 2024
                June 2024
                : 7
                : 6 ( doiID: 10.1002/hsr2.v7.6 )
                : e2159
                Affiliations
                [ 1 ] Department of Nursing, College of Health Science Woldia University Woldia Ethiopia
                Author notes
                [*] [* ] Correspondence Tegene Atamenta Kitaw, Department of Nursing, College of Health Science, Woldia University, Woldia, Ethiopia.

                Email: tegene2013@ 123456gmail.com

                Author information
                http://orcid.org/0000-0002-7199-1249
                http://orcid.org/0000-0003-0833-2504
                Article
                HSR22159
                10.1002/hsr2.2159
                11139671
                38826618
                2325ecb6-ce05-4376-9cd7-9b4b0587e7b1
                © 2024 The Authors. Health Science Reports published by Wiley Periodicals LLC.

                This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

                History
                : 13 April 2024
                : 18 January 2024
                : 16 May 2024
                Page count
                Figures: 0, Tables: 1, Pages: 7, Words: 4733
                Categories
                Study Protocols
                Study Protocols
                Custom metadata
                2.0
                June 2024
                Converter:WILEY_ML3GV2_TO_JATSPMC version:6.4.3 mode:remove_FC converted:31.05.2024

                associated risk factors,diabetic patients,erectile dysfunction,global burden,protocol

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