scholarly journals Diabetes Mellitus Is Associated with a Lower Risk of Gout: A Meta-Analysis of Observational Studies

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Xiaoli Li ◽  
Lianju Li ◽  
Yuling Xing ◽  
Tiantian Cheng ◽  
Shaohui Ren ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Lower Risk ◽  
Observational Studies ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Cochrane Library ◽  
Inverse Association ◽  
The Impact ◽  
Hba1c Levels

Aims. Although several epidemiological studies have investigated the relationship between diabetes mellitus (DM) and the risk of gout, the results are inconsistent. Therefore, we systematically retrospected available observational studies to clarify the impact of DM on the risk of gout. Methods. Embase, PubMed, Cochrane Library, Scopus, Web of Science, and China National Knowledge Infrastructure were searched for relevant articles from inception to 2 March 2020. The quality of the included studies was assessed using the Newcastle-Ottawa Quality Assessment Scale. The multivariate adjusted relative risks (aRR) and corresponding 95% confidence intervals (CI) were pooled based on a random-effect model. Cochran’s Q test and I2 were used to evaluate heterogeneity. Results. Five studies involving 863,755 participants were included in our meta-analysis. DM was associated with a lower risk of gout (aRR: 0.66; 95% CI: 0.59 to 0.73) but had a high heterogeneity (I2=89.2%). Metaregression analysis revealed that the types of DM were the source of heterogeneity. Subgroup analysis by types of DM showed that the risk of gout was significantly lower in type 1 DM (T1DM) (aRR: 0.42; 95% CI: 0.28 to 0.63) than in type 2 DM (T2DM) (aRR: 0.72; 95% CI: 0.70 to 0.74). Furthermore, when stratified according to gender in DM, sex-specific association was found. The inverse association was observed in males only (aRR: 0.57; 95% CI: 0.43 to 0.77) and not in females (aRR: 0.96; 95% CI: 0.87 to 1.05). Further stratified based on glycated hemoglobin (HbA1c) levels in DM, raised A1C levels were associated with a reduced risk of gout in patients with DM. Conclusions. This meta-analysis indicated that DM was related to a lower risk of gout, and the protective effect of DM on the risk of gout was stronger in males, T1DM, or DM with high HbA1c levels. However, more prospective cohort studies are required to confirm these results.

scholarly journals Mean Platelet Volume and Gestational Diabetes Mellitus: A Systematic Review and Meta-Analysis

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Zhongwei Zhou ◽  
Hongmei Chen ◽  
Mingzhong Sun ◽  
Huixiang Ju
Keyword(s):  
Diabetes Mellitus ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Pregnant Women ◽  
Mean Platelet Volume ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Cochrane Library ◽  
Platelet Volume

Aim. To evaluate the association between mean platelet volume (MPV) and gestational diabetes mellitus (GDM). Methods. A systematic literature search was performed in PubMed, EMBASE, Web of Science, and The Cochrane Library up to 4 September 2017. Pooled standardized mean differences (SMD) and 95% confidence interval (CI) were calculated using a random-effect model. Results. Nineteen studies comprising 1361 GDM patients and 1911 normal pregnant women were included. MPV was increased in GDM patients when compared with healthy pregnant women (SMD: 0.79; 95% CI: 0.43–1.16; P<0.001). Subgroup analyses revealed that such trend was consistent in the third-trimester (SMD: 1.35; 95% CI: 0.72–1.98), Turkish (SMD: 0.81; 95% CI: 0.43–1.19), and Italian (SMD: 2.78; 95% CI: 2.22–3.34) patients with GDM and the patients diagnosed based on Carpenter and Coustan criteria (SMD: 1.04; 95% CI: 0.42–1.65). Significantly higher MPV also were observed within cross-sectional studies (SMD: 0.99; 95% CI: 0.49–1.49). Remarkable between-study heterogeneity and potential publication bias were observed in this meta-analysis; however, sensitivity analysis indicated that the results were not unduly influenced by any single study. Conclusions. GDM patients are accompanied by increased MPV, strengthening the clinical evidence that MPV may be a predictive marker for GDM.

scholarly journals Breast Cancer Risk in Rheumatoid Arthritis: An Update Meta-Analysis

2014 ◽  
Vol 2014 ◽  
pp. 1-9 ◽  
Author(s):  
Guo Tian ◽  
Jia-Ning Liang ◽  
Zhuo-Yun Wang ◽  
Dian Zhou
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Risk ◽  
Cancer Risk ◽  
Subgroup Analysis ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Cochrane Library ◽  
Number Of Patients ◽  
The Impact

Background. The incidence of breast cancer in RA patients remains controversial. Thus we performed a meta-analysis to investigate the impact of RA on breast cancer.Methods. Published literature was available from PubMed, Embase, and Cochrane Library. Pooled standardized incidence rate (SIR) was computed by random-effect model analysis.Results. We identified 16 separate studies in the present study, in which the number of patients ranged from 458 to 84,475. We did not find the increased cancer risk in RA patients (SIR=0.86, 95%CI=0.72–1.02). However, subgroup analysis showed that breast cancer risk in RA patients was positively different in Caucasians (SIR=0.82, 95%CI=0.73–0.93) and non-Caucasians (SIR=1.21, 95%CI=1.19–1.23), respectively. In subgroup analysis by style, a reduced incidence was found in hospital-based case subjects (SIR=0.82, 95%CI=0.69–0.97). Similarly, subgroup analysis for adjusted factors indicated that in A3 (age and sex) and A4 (age, sex, and race/ethnicity) the risk was decreased (SIR=0.87, 95%CI=0.76–0.99;SIR=0.63, 95%CI=0.59–0.67).Conclusions. The meta-analysis revealed no increased breast cancer risk in RA patients. However, in the subgroup analysis, the risk of breast cancer is increased in non-Caucasians patients with RA while it decreased in Caucasian population, hospital-based case subjects, and A3 group. Such relationship may provide preference for risk of breast cancer in different population.

scholarly journals Association between aberrant APC promoter methylation and breast cancer pathogenesis: a meta-analysis of 35 observational studies

PeerJ ◽  
2016 ◽  
Vol 4 ◽  
pp. e2203 ◽  
Author(s):  
Dan Zhou ◽  
Weiwei Tang ◽  
Wenyi Wang ◽  
Xiaoyan Pan ◽  
Han-Xiang An ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Observational Studies ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Wnt Signaling Pathway ◽  
Detection Methods ◽  
Cochrane Library ◽  
Cancer Pathogenesis ◽  
Potential Biomarker

Background.Adenomatous polyposis coli (APC) is widely known as an antagonist of the Wnt signaling pathway via the inactivation ofβ-catenin. An increasing number of studies have reported that APC methylation contributes to the predisposition to breast cancer (BC). However, recent studies have yielded conflicting results.Methods.Herein, we systematically carried out a meta-analysis to assess the correlation between APC methylation and BC risk. Based on searches of the Cochrane Library, PubMed, Web of Science and Embase databases, the odds ratio (OR) with 95% confidence interval (CI) values were pooled and summarized.Results.A total of 31 articles involving 35 observational studies with 2,483 cases and 1,218 controls met the inclusion criteria. The results demonstrated that the frequency of APC methylation was significantly higher in BC cases than controls under a random effect model (OR= 8.92, 95% CI [5.12–15.52]). Subgroup analysis further confirmed the reliable results, regardless of the sample types detected, methylation detection methods applied and different regions included. Interestingly, our results also showed that the frequency of APC methylation was significantly lower in early-stage BC patients than late-stage ones (OR= 0.62, 95% CI [0.42–0.93]).Conclusion.APC methylation might play an indispensable role in the pathogenesis of BC and could be regarded as a potential biomarker for the diagnosis of BC.

scholarly journals School reopening and risks accelerating the COVID-19 pandemic: A systematic review and meta-analysis protocol

PLoS ONE ◽  
2021 ◽  
Vol 16 (11) ◽  
pp. e0260189
Author(s):  
Luís Carlos Lopes-Júnior ◽  
Priscila Carminati Siqueira ◽  
Ethel Leonor Noia Maciel
Keyword(s):  
Systematic Review ◽  
Potential Risk ◽  
Disease Transmission ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Cochrane Library ◽  
British Library ◽  
The Impact ◽  
Analysis Protocol

Background One of the most recent concerns of this pandemic regards the role of schools reopening in disease transmission, as well as the impact of keeping schools closed. While school reopening seems critical for the education and mental health of children, adolescents, and adults, so far the literature has not systematically reached a consensus whether to recommend the return to schools in a way that would be safe for students and staff. Objective To synthesize and critically evaluate the scientific evidence on the potential risk of accelerating the Coronavirus Disease 2019 (COVID-19) pandemic among children, adolescents, young adults, and adults with school reopening. Methods This systematic review and meta-analysis protocol was elaborated following the PRISMA-P. We will include all observational study designs, which report on the potential risk of accelerating the COVID-2019 pandemic with school reopening. Electronic databases included were MEDLINE/PubMed, Cochrane Library, EMBASE, Web of Science, SCOPUS and CNKI. Additional sources will be also retrieved, including Clinical trials.gov-NIH, The British Library, Pro Quest Dissertations Database, Public Health Gray Literature Sources and Health Evidence, Google Scholar, and pre-prints [medRXiv]. No restriction to language or date will be used as search strategy. In an independently manner, two investigators will select studies, perform data extraction, as well as perform a critical appraisal of the risk of bias and overall quality of the selected observational studies, based on their designs. The heterogeneity among the studies will be assessed using the I2 statistic test. According to the results of this test, we will verify whether a meta-analysis is feasible. If feasibility is confirmed, a random-effect model analysis will be carried out. For data analysis, the calculation of the pooled effect estimates will consider a 95% CI and alpha will be set in 0.05 using the R statistical software, v.4.0.4. In addition, we will rate the certainty of evidence based on Cochrane methods and in accordance with the Grading of Recommendations Assessment, Development and Evaluation (GRADE). Expected results This systematic review and meta-analysis will provide better insights into safety in the return to school in the context of the COVID-2019 pandemic, at a time when vaccination advances unevenly in several countries around the world. Hence, consistent data and robust evidence will be provided to help decision-makers and stakeholders in the current pandemic scenario. PROSPERO registration number CRD42021265283; https://clinicaltrials.gov.

scholarly journals The Impact of Delirium On Prognosis In Stroke: A Systematic Review and Meta-Analyses of Observational Studies

2021 ◽  
Author(s):  
jing zhang ◽  
xin wang ◽  
jie wang ◽  
kai liu ◽  
tao he ◽  
...  
Keyword(s):  
Hospital Stay ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Length Of Hospital Stay ◽  
Clinical Problem ◽  
Cochrane Library ◽  
Inpatient Mortality ◽  
Increased Risk ◽  
The Impact

Abstract Background The outcomes of post-stroke delirium are inconsistent. Therefore, we conduct a meta-analysis to provide a comprehensive description of the impact of delirium on the outcomes including including length of hospital stay and inpatient mortality after stroke. Methods We searched electronic databases including PubMed, Google scholar, Web of Science and Cochrane Library databases up to April, 2021. Fixed-effect or random-effect model was used to summary odds ratio (OR) and mean difference (MD ) with 95% confidence interval (CI). Results 13 individual studies with total of 3592 patients met the inclusion criteria. The summary results revealed that stroke patients with delirium increased risk of inpatient mortality (OR = 6.35, 95% CI: 4.35–9.25, p < 0.0001), and had longer length of hospital stay (MD = 5.93, 95% CI: 2.79–9.07, p < 0.0001) compared to non-delirious patients. Conclusions Delirium is associated with unfavorable outcomes in patients with stroke, particularly in higher inpatient mortality and longer length of stay. We should pay more attention to this clinical problem and managed appropriately to prevent poor prognosis.

scholarly journals Association Between Lipoprotein (A) and Diabetic Nephropathy in Patients With Type 2 Diabetes Mellitus: A Meta-Analysis

2021 ◽  
Vol 12 ◽  
Author(s):  
Xiaoyan Ren ◽  
Zhihui Zhang ◽  
Zhaoli Yan
Keyword(s):  
Diabetes Mellitus ◽  
Type 2 Diabetes ◽  
Type 2 Diabetes Mellitus ◽  
Diabetic Nephropathy ◽  
Observational Studies ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Lipoprotein A

BackgroundLipoprotein (a) [Lp (a)] has been well recognized as a risk factor of cardiovascular disease. However, the association between serum Lp (a) and diabetic nephropathy in patients with type 2 diabetes mellitus (T2DM) remains unknown. We performed a meta-analysis to comprehensively evaluate the above association.MethodsObservational studies aiming to evaluate the independent association between serum Lp (a) and diabetic nephropathy in T2DM patients were identified by systematic search of PubMed and Embase databases. A random-effect model which incorporated the potential intra-study heterogeneity was used for the meta-analysis.ResultsEleven observational studies with 9304 T2DM patients were included. Results showed that compared to those with the lowest Lp (a), patients with the highest Lp (a) level had higher odds of diabetic nephropathy (adjusted odds ratio [OR]: 1.63, 95% confidence interval [CI]: 1.25–2.14, I2 = 54%, P &lt; 0.001). Meta-analysis of studies in which Lp (a) was presented as continuous variables showed consistent result (adjusted OR: 1.13 for 1 mg/dl increment of Lp (a), 95% CI: 1.03–1.24, I2 = 36%, P = 0.008). Subgroup analyses showed that study characteristics such as definitions of diabetic nephropathy and study design did not significantly affect the association (P for subgroup difference all &gt; 0.05).ConclusionsHigher serum Lp (a) in patients with T2DM is independently associated with higher odds of diabetic nephropathy. Large scale prospective cohort studies are needed to validate this finding. Moreover, the potential influence of Lp (a) lowering on renal function in T2DM patients may be further investigated.

Proton pump inhibitor (PPI) exposure and risk of pancreatic cancer (PC): Meta-analysis.

2019 ◽  
Vol 37 (15_suppl) ◽  
pp. e15755-e15755
Author(s):  
Nasser Mubarak Al Khushaym ◽  
Abdulaali Almutairi ◽  
Saad Fallatah ◽  
Abdulhamid Althagafi ◽  
Mok Oh ◽  
...  
Keyword(s):  
Observational Studies ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Cochrane Library ◽  
Diabetic Patients ◽  
Case Control Studies ◽  
Primary Analysis ◽  
Risk Estimates ◽  
Secondary Analyses

e15755 Background: PPIs are widely used in the treatment of various acid related disorders. Observational studies have raised concern about an association of PPI use and PC but findings have been inconsistent. This meta-analysis aimed to estimate from published studies the pooled PC risk among subjects exposed and not exposed to PPIs. Methods: We searched PubMed, EMBASE, Scopus, Cochrane Library and clinicaltrials.gov to identify relevant studies on the association of PPI exposure and PC risk. Three reviewers independently screened search results for eligibility and extracted data from retained studies. Our primary analysis quantified PC risk among subjects exposed vs not exposed to PPI, expressed as the pooled (adjusted) odds ratio (OR/aOR) and 95% confidence interval (95%CI) as estimated in a random effect model. We performed similar secondary analyses in selected subgroups. Results: Of the 2683 reports yielded by the search 1 randomized trial, 2 cohort, and 9 case-control studies with 1,093,766 subjects (123,214 cases; 970,552 controls) were retained. Our main analysis (exposed vs non exposed) revealed a significant overall association between PPI exposure and PC risk (OR 1.77, 95%CI 1.14-2.74). Secondary analyses showed higher risk estimates from high quality (NOS > 7) studies (OR 2.04, 95%CI 1.03-4.02), observational studies (aOR, 1.70 95%CI 1.08-2.68), and studies with PPI use and PC risk as main outcome (aOR 2.01, 95%CI 1.06-3.83). Subgroup analyses by comorbidities showed an association with diabetes (aOR 1.98, 95%CI 1.02-3.82) but not pancreatitis (aOR 1.77, 95%CI 0.93-3.35). PC risk was not associated with duration of PPI use longer 1 (aOR 1.36 95%CI 0.81-2.28 and > 3 yrs (aOR 1.21 95%CI 0.73-2.02). In addition to the overall PPI class effect in the primary analysis, rabeprazole was singularly associated with PC risk (aOR 5.40 95%CI 1.98-14.70). Conclusions: Pooled risk estimates suggest that the class of PPIs is associated with a general 1.77 fold increase in PC risk, independent of duration of PPI exposure. Diabetic patients are at a significant incremental risk over the base risk.

scholarly journals Effect of Dexmedetomidine For Thoracoscopic Surgery: A Meta-analysis of Randomized Controlled Trials

2021 ◽  
Author(s):  
Chengjun Song ◽  
Quan Lu
Keyword(s):  
Randomized Controlled Trials ◽  
Thoracoscopic Surgery ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Cochrane Library ◽  
Control Group ◽  
Controlled Trials ◽  
Randomized Controlled ◽  
The Impact

Abstract Introduction: The efficacy of dexmedetomidine for thoracoscopic surgery remains controversial. We conduct a systematic review and meta-analysis to explore the impact of dexmedetomidine for thoracoscopic surgery.Methods: We have searched PubMed, EMbase, Web of science, EBSCO, and Cochrane library databases through September 2020 for randomized controlled trials (RCTs) assessing the effect of dexmedetomidine on thoracoscopic surgery. This meta-analysis is performed using the random-effect model.Results: Six RCTs involving 510 patients are included in the meta-analysis. Overall, compared with control group for thoracoscopic surgery, dexmedetomidine results in significantly reduced pain scores (SMD=-1.50; 95% CI=-2.63 to -0.37; P=0.009), anesthetic consumption (SMD=-3.91; 95% CI=-6.76 to -1.05; P=0.007), mean heart rate (SMD=-0.41; 95% CI=-0.65 to -0.18; P=0.0007), and the number of ICU stay (RR=0.39; 95% CI=0.19 to 0.80; P=0.01), but showed no obvious effect on mean blood pressure (SMD=-0.07; 95% CI=-0.45 to 0.31; P=0.72) or hospital stay (SMD=-0.61; 95% CI=-1.30 to 0.08; P=0.08). Conclusions: Dexmedetomidine supplementation can substantially improve the analgesic efficacy for thoracoscopic surgery.

scholarly journals Pediatric asthma control during the COVID-19 pandemic: a systematic review and meta-analysis

2021 ◽  
Author(s):  
Ze Yang ◽  
Xiang Wang ◽  
Xigang Wan ◽  
Menglei Wang ◽  
Zonghua Qiu ◽  
...  
Keyword(s):  
Systematic Review ◽  
Asthma Control ◽  
Inhaled Corticosteroids ◽  
Case Reports ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Cochrane Library ◽  
Significant Difference ◽  
The Impact

Background: During the current ongoing COVID-19 pandemic, studies had reported that patients with asthma would experience increased asthma-associated morbidity because of the respiratory virus SARS-CoV-2 infection, based on experience with other respiratory viral infections. However, some studies suggested that there was no apparent increase in asthma related morbidity in children with asthma, it is even possible that due to reduced exposures due to confinement, such children may have improved outcomes. In order to understand the impact of Covid-19 on asthma control in children, we performed this systematic review and meta-analysis. Methods: We searched PubMed, Embase, and Cochrane Library to find literature from December 2019 to June 2021 related to Covid-19 and children’s asthma control, among which results such as abstracts, comments, letters, reviews and case reports were excluded. The level of asthma control during the COVID-19 pandemic was synthesized and discussed. Results: A total of 20456 subjects were included in 7 studies. Random effect model is used to account for the data. Compared to the same period before the COVID-19 pandemic, asthma exacerbation, asthma admission, emergency room visit reduced a lot. The outcome of use of inhaled corticosteroids and Beta-2 agonists shows no significant difference. Conclusion: Compared to the same period before the COVID-19 pandemic and the measures in response to it, the level of asthma control has been significantly improved. We need to understand the exact factors leading to these improvements and find methods to sustain it.

scholarly journals Impact of Metabolic Syndrome and It's Components on Prognosis in Patients With Cardiovascular Diseases: A Meta-Analysis

2021 ◽  
Vol 8 ◽  
Author(s):  
Xiao Li ◽  
Yajing Zhai ◽  
Jiaguo Zhao ◽  
Hairong He ◽  
Yuanjie Li ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Cardiovascular Diseases ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Cochrane Library ◽  
High Density Lipoproteins ◽  
Increased Risk ◽  
Low Hdl ◽  
The Impact

Background: Patients with metabolic syndrome (MetS) have a higher risk of developing cardiovascular diseases (CVD). However, controversy exists about the impact of MetS on the prognosis of patients with CVD.Methods: Pubmed, Cochrane library, and EMBASE databases were searched. Cohort Studies and randomized controlled trials post hoc analyses that evaluated the impact of MetS on prognosis in patients (≥18 years) with CVD were included. Relative risk (RR), hazard rate (HR) and 95% confidence intervals (CIs) were calculated for each individual study by random-effect model. Subgroup analysis and meta-regression analysis was performed to explore the heterogeneity.Results: 55 studies with 16,2450 patients were included. Compared to patients without MetS, the MetS was associated with higher all-cause death [RR, 1.220, 95% CI (1.103 to 1.349), P, 0.000], CV death [RR, 1.360, 95% CI (1.152 to 1.606), P, 0.000], Myocardial Infarction [RR, 1.460, 95% CI (1.242 to 1.716), P, 0.000], stroke [RR, 1.435, 95% CI (1.131 to 1.820), P, 0.000]. Lower high-density lipoproteins (40/50) significantly increased the risk of all-cause death and CV death. Elevated fasting plasma glucose (FPG) (&gt;100 mg/dl) was associated with an increased risk of all-cause death, while a higher body mass index (BMI&gt;25 kg/m2) was related to a reduced risk of all-cause death.Conclusions: MetS increased the risk of cardiovascular-related adverse events among patients with CVD. For MetS components, there was an increased risk in people with low HDL-C and FPG&gt;100 mg/dl. Positive measures should be implemented timely for patients with CVD after the diagnosis of MetS, strengthen the prevention and treatment of hyperglycemia and hyperlipidemia.

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