1.
Effect of Different Glucose Monitoring Methods on Bold Glucose Control: A Systematic Review and Meta-Analysis.
Wang, Y, Zou, C, Na, H, Zeng, W, Li, X
Computational and mathematical methods in medicine. 2022;2022:2851572
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Diabetes is one of the most common chronic diseases in China, with a high prevalence rate of 12.8%. Diabetes is divided into type 1 diabetes and type 2 diabetes. Monitoring blood glucose levels is also very important to keep the blood glucose level at a normal level. The aim of this study was to evaluate the effectiveness of continuous glucose monitoring (CGM) and self-monitoring of blood glucose (SMBG) in maintaining glycaemic control among patients with type 1 diabetes. This study is a systematic review and meta-analysis of fifteen studies Results showed that the level of haemoglobin A1C in the CGM group decreased by 2.69 mmol/mol compared with the SMBG group. Furthermore, compared with the SMBG group, the risk of severe hypoglycaemic events in the CGM group was reduced by 48%, which is inconsistent with the results of other meta-analyses. Finally, there was no difference between the two methods in the incidence of diabetic ketoacidosis [is a serious complication of diabetes that can be life-threatening]. Authors conclude that for patients with type 1 diabetes, CGM is a better method for monitoring blood glucose.
Abstract
Objective: To evaluate the effectiveness of different glucose monitoring methods on blood glucose control and the incidence of adverse events among patients with type 1 diabetes mellitus. Methods: Using the method of literature review, the databases PubMed, Cochrane, and Embase were retrieved to obtain relevant research literature, and the selected studies were analyzed and evaluated. This study used Cochrane software RevMan5.4 to statistically analyze all the data. Results: A total of 15 studies were included in this study, including 10 randomized controlled trials and 5 crossover design trials, with a total of 2071 patients. Meta-analysis results showed that continuous blood glucose monitoring (CGM) could significantly reduce the HbA1c level of patients, weighted mean difference (WMD) = -2.69, 95% confidence interval (CI) (-4.25, -1.14), and P < 0.001 compared with self-monitoring of blood glucose (SMBG). Meanwhile, the incidence of severe hypoglycemia in the CGM group was significantly decreased, risk ratio (RR) = 0.52, 95% CI 0.35-0.77, and P = 0.001. However, there was no statistical difference in the probability of diabetic ketoacidosis between CGM and SMBG groups, RR = 1.34, 95% CI 0.57-3.15, and P = 0.5. Conclusion: Continuous blood glucose monitoring is associated with lower blood glucose levels than the traditional blood glucose self-test method.
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Etiology of Metabolic Syndrome and Dietary Intervention.
Xu, H, Li, X, Adams, H, Kubena, K, Guo, S
International journal of molecular sciences. 2018;20(1)
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Metabolic syndrome (MetS) is a complex disease characterised by high blood sugar, raised blood pressure, dyslipidemia and obesity. It is a major contributing factor to chronic disease such as type 2 diabetes and cardiovascular disease. The aim of this study is to review the cause of MetS, understand how it progresses to chronic disease and analyse the efficacy of clinical interventions in reducing this progression. According to the existing research, this study found insulin sensitivity to be a critical aspect of the pathogenesis in MetS. Effective intervention strategies should be aimed at increasing insulin sensitivity. Based on this information, the authors conclude health practitioners should help patients manage energy balance and reduce overall inflammatory markers to best control the progression of MetS.
Abstract
The growing prevalence of metabolic syndrome (MetS) in the U.S. and even worldwide is becoming a serious health problem and economic burden. MetS has become a crucial risk factor for the development of type 2 diabetes mellitus (T2D) and cardiovascular diseases (CVD). The rising rates of CVD and diabetes, which are the two leading causes of death, simultaneously exist. To prevent the progression of MetS to diabetes and CVD, we have to understand how MetS occurs and how it progresses. Too many causative factors interact with each other, making the investigation and treatment of metabolic syndrome a very complex issue. Recently, a number of studies were conducted to investigate mechanisms and interventions of MetS, from different aspects. In this review, the proposed and demonstrated mechanisms of MetS pathogenesis are discussed and summarized. More importantly, different interventions are discussed, so that health practitioners can have a better understanding of the most recent research progress and have available references for their daily practice.