Effects of sodium‐glucose co‐transporter 2 ( SGLT2 ) inhibitors on serum uric acid level: A meta‐analysis of randomized controlled trials

2017 ◽  
Vol 20 (2) ◽  
pp. 458-462 ◽  
Author(s):  
Yumo Zhao ◽  
Lubin Xu ◽  
Dongli Tian ◽  
Peng Xia ◽  
Hua Zheng ◽  
...  
Keyword(s):  
Uric Acid ◽  
Randomized Controlled Trials ◽  
Serum Uric Acid ◽  
Uric Acid Level ◽  
Acid Level ◽  
Serum Uric Acid Level ◽  
Meta Analysis ◽  
Sglt2 Inhibitors ◽  
Controlled Trials ◽  
Randomized Controlled

scholarly journals Meta-analysis of the correlation between serum uric acid level and carotid intima-media thickness

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0246416
Author(s):  
Mingzhu Ma ◽  
Liangxu Wang ◽  
Wenjing Huang ◽  
Xiaoni Zhong ◽  
Longfei Li ◽  
...  
Keyword(s):  
Uric Acid ◽  
Serum Uric Acid ◽  
Uric Acid Level ◽  
Subgroup Analysis ◽  
Acid Level ◽  
Serum Uric Acid Level ◽  
Meta Analysis ◽  
Intima Media Thickness ◽  
Carotid Intima Media Thickness ◽  
Media Thickness

Objective Recently, increasing epidemiological evidence has shown that there is a correlation between serum uric acid level (SUA) and carotid intima-media thickness (CIMT). This paper explored the relationship between them through meta-analysis. Methods PubMed, Cochrane Library, EMBASE, Web of Science and Google Scholar were searched to obtain literature. The keywords used to retrieve the literature were carotid intima thickness, intima-media thickness, carotid atherosclerosis, carotid stenosis, carotid artery, uric acid, blood uric acid, and hyperuricaemia. The retrieval time was from the establishment of the database through July 2020. Stata15.0 and RevMan5.3 software were used for statistical analysis. The standardized mean difference (SMD) and 95% confidence interval (95% CI) were calculated by a random effect model to estimate the correlation. Publication bias was assessed using the Begg and Egger tests. The stability of these results was evaluated using sensitivity analyses. Results Fifteen studies were included with a total sample size of 11382, including 7597 participants in the high uric acid group and 3785 in the control group, on the basis of the inclusion and exclusion criteria. According to the evaluation of the JBI scale, the literature was of high quality. The average age ranged from 42 to 74. Meta-analysis showed that CIMT in the high uric acid group was significantly higher than that in the control group (SMD = 0.53, 95% CI: [0.38, 0.68]), and the difference was significant (z = 6.98, P < 0.00001). The heterogeneity among the 15 articles was obvious (I2 = 89%, P < 0.00001). Subgroup analysis by disease status illustrated a positive relationship between SUA and CIMT in healthy people and people with diseases. SUA was shown to be positively correlated with CIMT in people aged 45–60 years and ≥60 years by subgroup analysis by age. SUA was also found to be positively correlated with CIMT in a population with BMI>24 kg/m2 by subgroup analysis by BMI. In addition, subgroup analysis of other risk factors for CIMT, including TC, SBP, DBP, triglycerides, and LDL-C, all showed a positive correlation between SUA and CIMT. Conclusions There is a significant correlation between serum uric acid level and carotid intima-media thickness, and a high concentration of serum uric acid is related to carotid artery intima-media thickness.

Association between serum uric acid level and multiple system atrophy: A meta-analysis

2018 ◽  
Vol 169 ◽  
pp. 16-20 ◽  
Author(s):  
Xi Zhang ◽  
De-Shan Liu ◽  
Chun-Yao An ◽  
Yu-Zhao Liu ◽  
Xiao-Hong Liu ◽  
...  
Keyword(s):  
Uric Acid ◽  
Multiple System Atrophy ◽  
Serum Uric Acid ◽  
Uric Acid Level ◽  
Acid Level ◽  
Serum Uric Acid Level ◽  
Meta Analysis
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