scholarly journals Non-autoimmune diabetes mellitus and the risk of virus infections: a systematic review and meta-analysis of case-control and cohort studies

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Eric Lontchi-Yimagou ◽  
Charly Feutseu ◽  
Sebastien Kenmoe ◽  
Alexandra Lindsey Djomkam Zune ◽  
Solange Fai Kinyuy Ekali ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Systematic Review ◽  
Cohort Studies ◽  
H1n1 Virus ◽  
Autoimmune Diabetes ◽  
Meta Analysis ◽  
Case Control ◽  
Cochrane Central Register ◽  
Virus Infections ◽  
Autoimmune Diabetes Mellitus

AbstractA significant number of studies invoked diabetes as a risk factor for virus infections, but the issue remains controversial. We aimed to examine whether non-autoimmune diabetes mellitus enhances the risk of virus infections compared with the risk in healthy individuals without non-autoimmune diabetes mellitus. In this systematic review and meta-analysis, we assessed case-control and cohort studies on the association between non-autoimmune diabetes and viruses. We searched PubMed, Embase, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, and Web of Science with no language restriction, to identify articles published until February 15, 2021. The main outcome assessment was the risk of virus infection in individuals with non-autoimmune diabetes. We used a random-effects model to pool individual studies and assessed heterogeneity (I2) using the χ2 test on Cochrane’s Q statistic. This study is registered with PROSPERO, number CRD42019134142. Out of 3136 articles identified, we included 68 articles (90 studies, as the number of virus and or diabetes phenotype varied between included articles). The summary OR between non-autoimmune diabetes and virus infections risk were, 10.8(95% CI: 10.3–11.4; 1-study) for SARS-CoV-2; 3.6(95%CI: 2.7–4.9, I2 = 91.7%; 43-studies) for HCV; 2.7(95% CI: 1.3–5.4, I2 = 89.9%, 8-studies;) for HHV8; 2.1(95% CI: 1.7–2.5; 1-study) for H1N1 virus; 1.6(95% CI: 1.2–2.13, I2 = 98.3%, 27-studies) for HBV; 1.5(95% CI: 1.1–2.0; 1-study) for HSV1; 3.5(95% CI: 0.6–18.3 , I2 = 83.9%, 5-studies) for CMV; 2.9(95% CI: 1–8.7, 1-study) for TTV; 2.6(95% CI: 0.7–9.1, 1-study) for Parvovirus B19; 0.7(95% CI: 0.3–1.5 , 1-study) for coxsackie B virus; and 0.2(95% CI: 0–6.2; 1-study) for HGV. Our findings suggest that, non-autoimmune diabetes is associated with increased susceptibility to viruses especially SARS-CoV-2, HCV, HHV8, H1N1 virus, HBV and HSV1. Thus, these viruses deserve more attention from diabetes health-care providers, researchers, policy makers, and stakeholders for improved detection, overall proper management, and efficient control of viruses in people with non-autoimmune diabetes.

scholarly journals Diabetes mellitus and the risk of ovarian cancer: a systematic review and meta-analysis of cohort and case–control studies

BMJ Open ◽  
2020 ◽  
Vol 10 (12) ◽  
pp. e040137
Author(s):  
Lihai Wang ◽  
Lei Zhong ◽  
Bin Xu ◽  
Min Chen ◽  
Hongxiao Huang
Keyword(s):  
Diabetes Mellitus ◽  
Systematic Review ◽  
Ovarian Cancer ◽  
Cohort Studies ◽  
Observational Studies ◽  
Meta Analysis ◽  
Case Control ◽  
Cochrane Library ◽  
Case Control Studies ◽  
History Of

ObjectiveEmerging evidence from observational studies (cohort and case–control studies) suggests that a history of diabetes mellitus (DM) has been linked to increased risk of ovarian cancer (OC), but the association between them remains inconclusive. The aim of this systematic review and meta-analysis of observational studies was to clarify this association.DesignSystematic review and meta-analysis.MethodsWe searched PubMed, Embase and the Cochrane library databases published from the inception through 9 April 2020 without language restriction. Observational studies that evaluated the correlation between DM and the incidence of OC were included in our study. Relative risk (RR) with 95% CI was pooled by use of a random-effects model.ResultsA total of 36 epidemiological articles, including 9 case–control and 27 cohort studies, were finally enrolled, consisting of 14 496 incident cases of OC. Synthesised RRs of developing OC by history of DM were 1.20 (95% CI=1.10 to 1.31) for all eligible studies, 1.08 (95% CI=0.77 to 1.53) for case–control studies and 1.22 (95% CI=1.11 to 1.33) for cohort studies. The above-mentioned positive association persisted across most of subgroup analyses, whereas it was not significant among studies from North American and European countries, level of unadjusted, and patients with low-quality and gestational DM group. The cumulative meta-analysis and sensitivity analysis showed pooled effect was stable and reliable, and no apparent publication bias was identified in this study.ConclusionsOur study found weaker but still association between DM and OC risk. However, further well-designed prospective studies that control for potential confounders are warranted.

scholarly journals Association of Helicobacter pylori Infection with the Risk of Metabolic Syndrome and Insulin Resistance: An Updated Systematic Review and Meta-Analysis

2021 ◽  
Author(s):  
Mobin Azami ◽  
Hamid Reza Baradaran ◽  
Parisa Kohnepoushi ◽  
Lotfolah Saed ◽  
Asra Moradkhani ◽  
...  
Keyword(s):  
Systematic Review ◽  
Insulin Resistance ◽  
Metabolic Syndrome ◽  
Helicobacter Pylori ◽  
Cohort Studies ◽  
Odds Ratio ◽  
Meta Analysis ◽  
Case Control ◽  
Case Control Studies ◽  
H Pylori

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 (95%CI) 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 206911 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; I2 = 0%), and in cohort studies, the pooled risk ratio was 1.31 (95%CI: 1.13, 1.51; I2 = 0%). Besides, case-control studies showed the pooled odds ratio of 1.54 (95%CI: 1.19, 1.98; I2 = 6.88%) for the association between H. pylori infection and insulin resistance. Conclusion A positive association was found between H. pylori infection and insulin resistance as well as metabolic syndrome, so planning to eliminate or eradicate H. pylori infection could be an effective solution to improve metabolic syndrome or insulin resistance, and vice versa.

Abstract 12672: Post-Implantation Hematoma Increases Risk of Cardiac Implantable Electronic Device Infection: A Systematic Review and Meta-analysis

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Jakrin Kewcharoen ◽  
Chanavuth Kanitsoraphan ◽  
Sittinun Thangjui ◽  
Thiratest Leesutipornchai ◽  
Leenhapong Navaravong
Keyword(s):  
Systematic Review ◽  
Cohort Studies ◽  
Electronic Device ◽  
Meta Analysis ◽  
Case Control ◽  
Cardiac Implantable Electronic Device ◽  
Case Control Studies ◽  
Randomized Controlled ◽  
Device Infection ◽  
Post Implantation

Introduction: Several studies have shown inconsistent relationship between post-implantation hematoma (PH) and cardiac implantable electronic device (CIED) infection. In this study, we performed a systematic review and meta-analysis to explore the effect of PH and the risk of CIED infection. Hypothesis: PH increases the risk of CIED infection. Methods: We searched the databases of MEDLINE and EMBASE from inception to March 2020. Included studies were cohort studies, case-control studies, cross-sectional studies and randomized controlled trials that reported incidence of PH and CIED infection during the follow-up period. CIED infection was defined as either a device-related local or systemic infection. Data from each study were combined using the random-effects, generic inverse variance method of Der Simonian and Laird to calculate odds ratios (OR) and 95% confidence intervals (CI). Results: Fourteen studies from 2006 to 2018 were included, involving a total of 28,319 participants. There were 6 cohort studies, 7 case-control studies and 1 randomized controlled trial. In random-effect model, we found that PH significantly increases the risk of overall CIED infection (OR = 6.30, 95%CI: 3.87-10.24, I2=49.3%) (Figure 1). There was no publication bias observed in the funnel plot as well as no small-study effect observed in Egger’s test. Conclusions: Our meta-analysis demonstrated that PH significantly increases the risk of CIED infection. Precaution should be taken to during device implantation to reduce PH and subsequent CIED infection.

Are Clinical Outcomes Associated With Medication Regimen Complexity? A Systematic Review and Meta-analysis

2019 ◽  
Vol 54 (4) ◽  
pp. 301-313 ◽  
Author(s):  
Vanessa Alves-Conceição ◽  
Kérilin Stancine Santos Rocha ◽  
Fernanda Vilanova Nascimento Silva ◽  
Rafaella de Oliveira Santos Silva ◽  
Sabrina Cerqueira-Santos ◽  
...  
Keyword(s):  
Systematic Review ◽  
Cohort Studies ◽  
Clinical Outcomes ◽  
Meta Analysis ◽  
Case Control ◽  
Current Evidence ◽  
Medication Regimen ◽  
Medication Regimen Complexity ◽  
Complexity Index ◽  
Regimen Complexity

Background: Current evidence of the influence of the medication regimen complexity (MRC) on the patients’ clinical outcomes are not conclusive. Objective: To systematically and analytically assess the association between MRC measured by the Medication Regimen Complexity Index (MRCI) and clinical outcomes. Methods: A search was carried out in the databases Cochrane Library, LILACS, PubMed, Scopus, EMBASE, Open Thesis, and Web of Science to identify studies evaluating the association between MRC and clinical outcomes that were published from January 1, 2004, to April 2, 2018. The search terms included outcome assessment, drug therapy, and medication regimen complexity index and their synonyms in different combinations for case-control and cohort studies that used the MRCI to measure MRC and related the MRCI with clinical outcomes. Odds ratios (ORs), hazard ratios (HRs), and mean differences (WMDs) were calculated, and heterogeneity was assessed using the I2 test. Results: A total of 12 studies met the eligibility criteria. The meta-analysis showed that MRC is associated with the following clinical outcomes: hospitalization (HR = 1.20; 95% CI = 1.14 to 1.27; I2 = 0%) in cohort studies, hospital readmissions (WMD = 7.72; 95% CI = 1.19 to 14.25; I2 = 84%) in case-control studies, and medication nonadherence (adjusted OR = 1.05; 95% CI = 1.02 to 1.07; I2 = 0%) in cohort studies. Conclusion and Relevance: This systematic review and meta-analysis gathered relevant scientific evidence and quantified the combined estimates to show the association of MRC with clinical outcomes: hospitalization, hospital readmission, and medication adherence.

Effect of Exposure to Cats and Dogs on the Risk of Asthma and Allergic Rhinitis: A Systematic Review and Meta-analysis

2020 ◽  
Vol 34 (5) ◽  
pp. 703-714
Author(s):  
Xiaoping Gao ◽  
Mei Yin ◽  
Pei Yang ◽  
Xia Li ◽  
Lingling Di ◽  
...  
Keyword(s):  
Systematic Review ◽  
Allergic Rhinitis ◽  
Cohort Studies ◽  
Meta Analysis ◽  
Pooled Analysis ◽  
Protective Role ◽  
Case Control ◽  
Favorable Effect ◽  
Case Control Studies

Background Controversies persist regarding whether exposure to cat or dog increases the risk of asthma and allergic rhinitis. Objective This meta-analysis aimed to assess the associations between exposure to cats or dogs and the development of asthma and allergic rhinitis. Methods A systematic review was performed to identify case-control and cohort studies before May 2019, evaluating the association between exposure to cats and dogs and the risk of asthma and rhinitis. The risk of bias was assessed using the Newcastle–Ottawa Scale. The odds ratios (ORs) and risk ratios (RRs) were pooled for case-control and cohort studies, respectively. Subgroup analyses were performed on prespecified study-level characteristics. Results The meta-analysis of 34 cohort studies showed a protective role of exposure to cats [RR: 0.88, 95% confidence interval (CI): 0.77–0.99] or dogs (RR: 0.85, 95% CI: 0.73–0.97) in the development of asthma. The subgroup analysis of birth cohort (RR: 0.74, 95% CI: 0.56–0.93) and children population (RR: 0.83, 95% CI: 0.70–0.96) also suggested a favorable role of exposure to dogs in the development of asthma. Pooled evidence from 13 case-control studies indicated no significant impact of cats (OR: 1.66, 95% CI: 0.39–2.94) and dogs (OR: 1.22, 95% CI: 0.92–1.52) on the development of asthma. A pooled analysis of five cohort studies showed a favorable effect of exposure to cats (RR: 0.60, 95% CI: 0.33–0.86) or dogs (RR: 0.68, 95% CI 0.44–0.90) on the development of allergic rhinitis. Conclusion The findings indicated a protective effect of exposure to cats and dogs, especially ownership, on the development of asthma and allergic rhinitis.

scholarly journals Maternal Exposure to Alcohol and Low Birthweight: A Systematic Review and Meta-Analysis

2019 ◽  
Vol 41 (05) ◽  
pp. 333-347
Author(s):  
Priscilla Perez da Silva Pereira ◽  
Fabiana Araújo Figueiredo Da Mata ◽  
Ana Claudia Morais Godoy Figueiredo ◽  
Roberta Borges Silva ◽  
Maurício Gomes Pereira
Keyword(s):  
Systematic Review ◽  
Alcohol Consumption ◽  
Cohort Studies ◽  
Retrospective Cohort ◽  
Literature Search ◽  
Low Birthweight ◽  
Meta Analysis ◽  
Case Control ◽  
Case Control Studies ◽  
Retrospective Cohort Studies

Objective To investigate the relationship between maternal exposure to alcohol and low birthweight (LBW). Methods The literature search was performed in January 2017 using the following electronic databases: Medline, Embase, LILACS, SciELO, Web of Science, Scopus, CINHAL, Proquest, and PsychInfo. The search strategy used the following terms: alcohol drinking, binge drinking, alcohol-related disorders, alcoholism, alcohol addiction/use/abuse/consumption, light/moderate/social/low drinking, low birthweight, case-control studies, retrospective studies, and cohort studies. No restrictions regarding language or publication date were considered. The literature search yielded 2,383 articles, and after screening and eligibility assessment, 39 articles were included in the systematic review, and 38 studies were included in the meta-analysis. Results Maternal alcohol consumption was associated with LBW among retrospective cohort studies (relative risk [RR] = 1.37; 95%CI [confidence interval]:1.10–1.77; I2 = 98.4%; p < 0.01). Prospective cohort studies (RR = 1.11; 95%CI: 0.98–1.25; I2 = 81.5%; p < 0.01), and case-control studies (odds ration [OR] = 1.16; 95%CI: 0.68–1.97; I2 = 61.2%; p = 0.05) showed no association between alcohol and LBW. No publication bias was identified, and the meta-regression showed that the sample size influenced the high heterogeneity among retrospective cohort studies. The subgroup analysis showed differences in association between groups when compared by sample size, type of adjustment, or crude measures and publication year. Conclusions We have not found an association between alcohol consumption during gestation and LBW in the analysis in all of the subgroups. In addition, we have found a high heterogeneity between the primary studies, which is related to methodological differences in the conduction of these studies.

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