Dataset Information

Prevalence of type 2 diabetes mellitus among hepatitis C virus-infected patients: a protocol for systematic review and meta-analysis.

ABSTRACT:

Introduction

The ever-increasing global hepatitis C infection is fueling the burden of diabetes mellitus, which exaggerates various complications and may be a cause of death for millions. Several studies have reported that hepatitis C virus infection is an important risk factor for the development of diabetes mellitus. However, the results of fragmented studies reported variable and inconsistent findings on the prevalence of type 2 diabetes mellitus among hepatitis C virus-infected patients. Therefore, this protocol for meta-analysis will determine the overall pooled prevalence of type 2 diabetes mellitus in patients infected with hepatitis C virus.

Methods and analysis

This systematic review and meta-analysis will include original articles of cohort and cross-sectional studies published in English. A systematic search will be performed in PubMed, Science Direct, Scopus, and Google Scholar. A fixed/random-effects meta-analysis model will be used to estimate the global pooled prevalence of type 2 diabetes mellitus among hepatitis C virus-infected patients. Sensitivity analysis will be conducted to check the stability of the summary estimate. Heterogeneity will be assessed using the I² statistic. Subgroup analysis will also be conducted based on geographical region. Funnel plots and Egger's test and Begg's test will be used to assess for publication bias.

Ethics and dissemination

The review is based on published data; therefore, ethical approval is not required. The systematic review and meta-analysis will summarize the existing data on the prevalence of type 2 diabetes mellitus among hepatitis C virus-infected patients at the global level. This provides the empirical evidence necessary for researchers, policymakers, and public health stakeholders to derive health-promoting policies, allocate resources, and set priorities for monitoring future trends. The final result will be presented at annual scientific meetings, conferences, and seminars. Moreover, it will also be published in a peer-reviewed reputable journal. We also plan to review every 5?years to provide updated information.

Systematic review registration

PROSPERO CRD42018083409.

SUBMITTER: Ambachew S

PROVIDER: S-EPMC6388482 | biostudies-literature | 2019 Feb

REPOSITORIES: biostudies-literature

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Prevalence of type 2 diabetes mellitus among hepatitis C virus-infected patients: a protocol for systematic review and meta-analysis.

Ambachew Sintayehu S Eshetie Setegn S Geremew Demeke D Endalamaw Aklilu A Melku Mulugeta M

Systematic reviews 20190225 1

<h4>Introduction</h4>The ever-increasing global hepatitis C infection is fueling the burden of diabetes mellitus, which exaggerates various complications and may be a cause of death for millions. Several studies have reported that hepatitis C virus infection is an important risk factor for the development of diabetes mellitus. However, the results of fragmented studies reported variable and inconsistent findings on the prevalence of type 2 diabetes mellitus among hepatitis C virus-infected patie ...[more]

PMID: 30803444

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Project description:OBJECTIVE:This study was conducted to determine the prevalence and genotype distribution of hepatitis C virus (HCV) infection among patients with type 2 diabetes mellitus (DM). SUBJECTS AND METHODS:We included 556 consecutive patients with confirmed type 2 DM attending the Diabetic Clinic of the Bushehr University of Medical Sciences and 733 nondiabetic subjects as controls. Serum levels of fasting blood sugar (FBS), alanine transaminase (ALT), aspartate transaminase (AST), total cholesterol (TCH), and triglycerides (TG) were measured by enzymatic colorimetric methods, and the presence of anti-HCV antibodies was determined by enzyme-linked immunosorbent assay. Semi-nested reverse transcriptase-polymerase chain reaction (RT-PCR) followed by sequencing was performed on all anti-HCV-seropositive samples. Data were analyzed using the Statistical Package for the Social Sciences 17, and descriptive statistics, ?2 test, Fisher exact test, and the Student t test were used for analysis. RESULTS:The seroprevalence of HCV in the diabetic patients was 1.98% (11/556), which was higher than HCV prevalence among the nondiabetic controls (4/733, 0.54%) (p = 0.032). No significant differences in ALT, AST, FBS, TG, and TCH levels were found between the HCV-seropositive and HCV-seronegative diabetic patients, although HCV-seropositive diabetic patients tended to have higher ALT, AST, and TCH levels, but lower TG and FBS levels than HCV-seronegative patients. In logistic regression analysis, only AST levels were significantly associated with HCV seropositivity among diabetic patients. The AST level of 41-80 IU/L was the only significant predictive variable for HCV seropositivity in the diabetic patients (odds ratio, 4.89; 95% CI: 1.06-22.49; p = 0.041). Of the 11 HCV-seropositive diabetic patients, 10 (91%) had HCV viremia with genotype 3a. CONCLUSION:Patients with type 2 DM had a higher prevalence of HCV infection than controls, and HCV seropositivity was independent of biochemical parameters.

Project description:IntroductionDiabetes mellitus (DM) is an important risk factor for active tuberculosis (TB), which also adversely affect TB treatment outcomes. The escalating global DM epidemic is fuelling the burden of TB and should therefore be a major target in the strategy for ending TB. This review aims to estimate the global prevalence of DM in patients with TB.Methods and analysisThis systematic review will include cross-sectional, case-control or cohort studies of populations including patients diagnosed with TB that have reported the prevalence of DM using one of the fourth standard recommendations for screening and diagnosis. This protocol is written in accordance with recommendations from the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols 2015 statement. Relevant abstracts published in English/French from inception to 31 December 2016 will be searched in PubMed, Excerpta Medica Database and online journals. Two investigators will independently screen, select studies, extract data and assess the risk of bias in each study. The study-specific estimates will be pooled through a random-effects meta-analysis model to obtain an overall summary estimate of the prevalence of diabetes across the studies. Heterogeneity will be assessed, and we will pool studies judged to be clinically homogenous. On the other hand, statistical heterogeneity will be evaluated by the ?² test on Cochrane's Q statistic. Funnel-plots analysis and Egger's test will be used to investigate publication bias. Results will be presented by continent or geographic regions.Ethics and disseminationThis study is based on published data. An ethical approval is therefore not required. This systematic review and meta-analysis is expected to inform healthcare providers as well as general population on the co-occurrence of DM and TB. The final report will be published as an original article in a peer-reviewed journal, and will also be presented at conferences and submitted to relevant health authorities. We also plan to update the review every 5 years.Protocolregistration numberPROSPERO International Prospective Register of Systematic Reviews (CRD42016049901).

Project description:BackgroundThe prevalence of type 2 diabetes mellitus (T2DM) is growing in China. Depression is a significant complication of T2DM, leading to poor management of T2DM. Thus, early detection and treatment of depression in patients with T2DM are essential and effective. Therefore, we plan to conduct a systematic review and meta-analysis to evaluate the prevalence of depression in Chinese patients with T2DM and explore potential risk factors of depression in T2DM.MethodsWe will search literatures recorded in MEDLINE, EMBASE, the Cochrane Library, Chinese Biomedical Literature Database (CBM), China National Knowledge Infrastructure (CNKI), Chinese Science and Technology Periodical Database (VIP), and WanFang Database from their inception onwards. We will manually search gray literatures, reference lists of identified studies, relevant websites, and consult experts in this field. We will include population-based, cross-sectional surveys that investigated the prevalence of depression in Chinese patients with T2DM or/and the possible risk factors of depression in T2DM. Two reviewers will screen studies, extract data, and evaluate risk of bias independently. Agency for Healthcare Research and Quality methodology checklist will be used to assess the risk of bias. If feasible, we will conduct random effects meta-analysis of observational data to summarize the pooled prevalence, and use odds ratio for categorical data to explore potential risk factors. Prevalence estimates will be stratified according to age, gender, and other factors. Statistical heterogeneity will be estimated using Cochran's Q and I2 index. We will conduct meta-regression to investigate the potential sources of heterogeneity, sensitivity analyses to assess robustness of the synthesized results, and funnel plots and Egger's test to assess publication bias.DiscussionThis systematic review and meta-analysis will provide comprehensive evidence of the prevalence and potential risk factors of depression in Chinese patients with T2DM. We expect to provide evidence for healthcare practitioners and policy makers to pay attention to the mental health of patients with T2DM. Our data will highlight the need and importance of early detection and intervention for depression in patients with T2DM.Systematic review registrationPROSPERO CRD42020182979.

Project description:Diabetes mellitus (DM) is a public health problem in developing as well as developed nations. DM leads to many complications that are associated with higher morbidity and mortality worldwide. Therefore, the current study was planned to assess the prevalence and risk factors of type-2 DM in Ethiopian population. Six electronic databases such as: PubMed, Scopus, Hinari, Web of science, Google Scholar, and African Journals Online were searched for studies published in English up December 30, 2020. Newcastle-Ottawa Scale was used for quality assessment of the included studies. The data was extracted by Microsoft excel and analyzed through Stata version 16 software. The random effect meta-regression analysis was computed at 95% CI to assess the pooled prevalence and risk factors of type-2 DM. Forty observational studies were included in this systematic review and meta-analysis. The pooled prevalence of DM in Ethiopia was 6.5% (95% CI (5.8, 7.3)). The sub-group analysis revealed that the highest prevalence of DM was found in Dire Dawa city administration (14%), and the lowest prevalence was observed in Tigray region (2%). The pooled prevalence of DM was higher (8%) in studies conducted in health facility. Factors like: Age ≥ 40 years ((Adjusted Odds Ratio (AOR): 1.91 (95% CI: 1.05, 3.49)), Illiterate (AOR: 2.74 (95% CI: 1.18, 6.34)), Cigarette smoking (AOR: 1.97 (95% CI: 1.17, 3.32)), Body mass index (BMI) ≥ 25 kg/m2 (AOR: 2.01 (95 CI: 1.46, 2.27)), family history of DM (AOR: 6.14 (95% CI: 2.80, 13.46)), history of hypertension (AOR: 3.00 (95% CI: 1.13, 7.95)) and physical inactivity (AOR: 5.79 (95% CI: 2.12, 15.77)) were significantly associated with type-2 DM in Ethiopian population. In this review, the prevalence of type-2 DM was high. Factors like: Older age, illiteracy, cigarette smoking, MBI ≥ 25, family history of DM, history of hypertension and physical inactivity were an identified risk factors of type-2 DM. Therefore, health education and promotion will be warranted. Further, large scale prospective studies will be recommended to address possible risk factors of type-2 DM in Ethiopian population.

Project description:BACKGROUND:Type 2 diabetes mellitus (T2DM) is a major global health problem. As a complementary treatment, acupuncture and related techniques are widely used to treat metabolic and endocrine diseases, but their efficacy and safety for T2DM are yet to be established. This systematic review will qualitatively and quantitatively summarize the current randomized controlled trial (RCT) evidence regarding the efficacy and safety of acupuncture and related techniques in patients with T2DM. METHODS:Comprehensive literature searches will be performed on PubMed, Embase, Cochrane Central Register of Controlled Trials, and a trial registry "ClinicalTrials.gov" from inception to December 3, 2018. We will include RCTs for patients with T2DM that compared acupuncture with placebo, antidiabetic drugs, lifestyle interventions, or the combination. Primary outcomes are fasting blood glucose and hemoglobin A1c. Secondary outcomes include 2-hour blood glucose, fasting insulin, homeostatic model assessment for insulin resistance, incidence of diabetic complications, and acupuncture-related adverse events. The risk of bias of the RCTs included in the review will be examined using a revised Cochrane handbook tool. Heterogeneity will be detected using Cochran Q test and I statistics. With the use of random effects model, we will perform meta-analyses to pool results of RCTs. The effect measures will be weighted or standardized mean difference with 95% confidence intervals (CIs) for the continuous outcomes and risk ratio with 95% CIs for the dichotomous outcomes. Subgroup analyses and meta-regression with predefined effect modifiers will be performed to explore the sources of heterogeneity. Where appropriate, we will assess the possibility of reporting bias based on funnel plots and quantitative detection. We will appraise the quality of evidence using the Grading of Recommendations Assessment, Development, and Evaluation system for each outcome. RESULTS:This study will provide accurate results and balanced inferences on the efficacy and safety of acupuncture and related techniques on T2DM. CONCLUSION:This well-designed systematic review will establish high-quality evidence of the efficacy and safety of acupuncture and related techniques for T2DM to facilitate the clinical practice and guideline development. PROSPERO REGISTRATION NUMBER:CRD42018115639.

Project description:BackgroundThe presence of metabolic syndrome among diabetes patients is frequent and is associated with an increased incidence of chronic complications and mortality. Despite several studies have been conducted, there is no overall estimation on the prevalence of metabolic syndrome among type 1 diabetic patients. Therefore, this study aimed to estimate the pooled prevalence of metabolic syndrome among patients with type 1 diabetes mellitus.MethodsMedline via PubMed, CINAHL, ScienceDirect, Ovid, Google Scholar, ResearchGate and African Journals Online were searched by limiting publication period from January 2005 to October 2020. Data were extracted with a standardized format prepared in Microsoft Excel and exported to Stata 16.0 for analyses. The I2 statistic was used to check heterogeneity across the included studies. DerSimonian and Laird random-effects model was applied to estimate pooled prevalence and 95% confidence interval across studies. Funnel plot symmetry, Begg's test and Egger's regression test were used to determine the presence of publication bias. Subgroup and sensitivity analysis as well as meta-regression were conducted to explore the potential sources of heterogeneity. The study protocol is registered on PROSPERO with reference number: CRD42020213435.ResultsIn this meta-analysis, a total of 27 studies with 45,811 study participants were included. The pooled prevalence of metabolic syndrome was 23.7% with substantial heterogeneity (I2 = 98.2%; P < 0.001). Geographical-based subgroup analysis revealed that the highest prevalence was observed in Australia (27.3%). As per meta-analysis of 17 studies, the pooled prevalence of metabolic syndrome in female type 1 diabetes patients (25.9%) was slightly higher than male T1DM patients (22.5%).ConclusionNearly a quarter of the type 1 diabetes mellitus patients were affected by metabolic syndrome. Therefore, more attention should be paid to the prevention and control of the epidemic and for the reduction of the morbidity and mortality associated with metabolic syndrome among type 1 diabetes mellitus patients.

Dataset Information

Prevalence of type 2 diabetes mellitus among hepatitis C virus-infected patients: a protocol for systematic review and meta-analysis.

Introduction

Methods and analysis

Ethics and dissemination

Systematic review registration

Publications

Prevalence of type 2 diabetes mellitus among hepatitis C virus-infected patients: a protocol for systematic review and meta-analysis.

Similar Datasets

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