scholarly journals Effect of Long-term Incretin-Based Therapies on Ischemic Heart Diseases in Patients with Type 2 Diabetes Mellitus: A Network Meta-analysis

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Che-Yi Chou ◽  
Ying-Tzu Chang ◽  
Jia-Lian Yang ◽  
Jiun-Yi Wang ◽  
Tsui-Er Lee ◽  
...  
2014 ◽  
Vol 171 (5) ◽  
pp. R173-R182 ◽  
Author(s):  
Bin Wang ◽  
Donghua Xu ◽  
Zhaohai Jing ◽  
Dawei Liu ◽  
Shengli Yan ◽  
...  

ObjectiveTo assess the effect of long-term exposure to air pollution on type 2 diabetes risk, a meta-analysis of prospective cohort studies was performed.MethodsLiterature search was conducted with Pubmed, Embase, and Web of Science for prospective cohort studies investigating the association of type 2 diabetes risk with increments in particulate matter (PM, diameter <2.5 μm (PM2.5) or <10 μm (PM10)) or nitrogen dioxide (NO2). We used a random-effects model to calculate the overall relative risk (RR) with 95% CI.ResultsOf 808 identified articles, ten cohort studies were finally included, which involved a total of 2 371 907 participants and 21 095 incident cases of type 2 diabetes. Elevated risk of type 2 diabetes was significantly associated with long-term exposures to high levels of PM2.5 (RR=1.28, 95% CI 1.06–1.55,P=0.009,I2=83.5%), PM10 (RR=1.15, 95% CI 1.02–1.30,P=0.022,I2=0%), and NO2(RR=1.12, 95% CI 1.02–1.23,P=0.015,I2=63.5%). When using standardized risk estimates, the RRs of type 2 diabetes were significant for increments in concentrations of PM2.5 (1.39 per 10 μg/m3increment, 95% CI 1.14–1.68,P=0.001), PM10 (1.34 per 10 μg/m3increment, 95% CI 1.22–1.47,P<0.001), and NO2(1.11 per 10 μg/m3increment, 95% CI 1.07–1.16,P<0.001). No obvious evidence of publication bias was observed.ConclusionLong-term exposure to high levels of main air pollutants is significantly associated with elevated risk of type 2 diabetes mellitus.


2020 ◽  
pp. 1-8
Author(s):  
Omid Asbaghi ◽  
Faezeh Fouladvand ◽  
Michael J. Gonzalez ◽  
Vahideh Aghamohammadi ◽  
Razieh Choghakhori ◽  
...  

<b><i>Aim:</i></b> Previous studies that investigated the effect of green tea/green tea extract on anthropometric indices among type 2 diabetes mellitus (T2DM) patients found inconsistent results. Thus, in order to clarify the efficacy of green tea supplementation on anthropometric indices and body composition, we conducted a systematic review and meta-analysis to sum up the evidence of randomized controlled trials. <b><i>Methods:</i></b> A systematic search was conducted in the Scopus, ISI Web of Science and PubMed to find the related articles, up to June 2019. Meta-analysis was performed using the random effects model, and the <i>I</i><sup>2</sup> index was used to evaluate the heterogeneity. <b><i>Results:</i></b> Eleven articles were eligible. Our meta-analysis indicated that green tea consumption significantly decreased body weight, body mass index (BMI), and body fat (BF). The beneficial effect of green tea intake was observed in long-term intervention (&#x3e;8 weeks), at lower doses of green tea (dosage ≤800 mg/day), and in overweight patients. <b><i>Conclusion:</i></b> This study revealed the beneficial effects of green tea consumption in reducing body weight, BMI, and BF in T2DM patients. It should be noted that green tea was effective in long-term intervention, at lower doses of green tea, and in overweight patients.


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