Diabetes & metabolic syndrome
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Diabetes Metab Syndr · Sep 2019
The use of glycated haemoglobin (HbA1C) in determining glycemic control (and relevance of BMI) in diabetic patients in Ahmadu Bello University Teaching Hospital Zaria, Nigeria.
This study was carried out to specifically investigate the local HbA1C level and determine extent of (if any) variation from the WHO (World Health Organization) recommended threshold for the diagnosis of diabetes and prediabetes using blood glucose as a benchmark. In addition, we also looked to see what role BMI (Body Mass Index) plays among subjects used for the study. 152 subjects were used for the study: 101 diabetic subjects and 51 non-diabetic control subjects. 5 mL of blood sample was collected from each of the subjects after about 8-10 h of overnight fasting. 3-4 mL of the sample was centrifuged and the serum analysed for glucose. The remaining 1-2 ml was transferred into EDTA bottles and analysed immediately for glycated haemoglobin (HbA1C). ⋯ There are a lot of normal individuals with HbA1c level that does not conform to (or that are simply higher than) what is regarded as the threshold for the onset of diabetes or prediabetes. Generally, the local (Nigerian) glycated haemoglobin (HbA1c) level can therefore be said to be distinctly higher for a given blood glucose range and should be taken as such in the management of diabetes in this environment. Being overweight or obese is not prerequisite to the development of diabetes or abnormal glycated haemoglobin level.
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Industry 4.0 is an updated concept of smart production, which is identified with the fourth industrial revolution and the emergence of cyber-physical systems. Industry 4.0 is the next stage in the digitization of productions and industries, where such technologies and concepts as the Internet of things, big data, predictive analytics, cloud computing, machine learning, machine interaction, artificial intelligence, robotics, 3D printing, augmented reality. As an area of therapy with the best market potential and one of the most expensive global diseases, diabetes attracts the best healthcare players, who use innovative technologies. Current trends in digitalization of diabetes management are presented.
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Diabetes Metab Syndr · Jul 2019
Adherence to a healthy plant diet may reduce inflammatory factors in obese and overweight women-a cross-sectional study.
Obesity and overweight which are consequence of some interaction factor such as genetics and behavioral habit. Obesity as a metabolic disorder and chronic inflammation is a trigger to countless disease. The main goal of this study is to investigate the interaction of herbal diet on the levels of liver enzymes, inflammatory factors and adipocytes profile. ⋯ Base on our finding, in those people who intake higher amounts of healthy plant foods, (vegetable types), instead of unhealthy herbal foods (sweets and desserts), might be useful to reduce inflammation factor like TGF-β and hs-CRP. Women with a higher compliance score in uPDI group (juices, refined grains, starches sweetened with sugar, sweets, and desserts) did not have significantly increase in inflammatory factors levels.
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Diabetes Metab Syndr · Jul 2019
Metrics of activity in social networks are correlated with traditional metrics of scientific impact in endocrinology journals.
Traditional journal level metrics, as the impact factor or Scimago journal ranking indicator (SJR) measure the impact of research on other researchers, but fail to assess the reach of these publications among wider audiences. This study aims to assess the correlation between SJR and metrics of presence on social networks of endocrinology journals. ⋯ Of the 232 journals evaluated, 28 (12.1%) had social networks. The median SJR (1.53 vs 0.60, p < 0.01), and H index (58.5 vs 22, p < 0.01) were significantly higher among journals with social networks. The correlation between the number of followers on twitter and the SJR was moderate (r = 0.60, p < 0.05), and it was better in journals with more than 500 publications in the last 3 years (r = 0.85, p < 0.05). The number of tweets also had a moderate correlation with the SJR (r = 0.59, p < 0.05) CONCLUSIONS: Our results suggest that the dissemination of research on social networks is moderately related to the traditional metrics of impact. Both types of metrics offer complementary information: while metrics based on social media may not perfectly predict the impact a scientific journal, it does have the advantage of immediacy.
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Diabetes Metab Syndr · May 2019
Meta AnalysisComplications of type 2 diabetes in Iranian population: An updated systematic review and meta-analysis.
Complications among patients with type 2 diabetes mellitus (T2DM) have increased dramatically through two past decades. Thus, the aim of this updated systematic review and meta-analysis was to estimate the pooled prevalence of T2DM complications in Iranian patients. Using Medical Subject Headings terms, Emtree, and related equal Persian key words, international databases including PubMed, ISI/WOS, Scopus, Iran Medex, SID, Magiran, Irandoc, Medlib, domestic databases were searched from January 1990 till January 2018 reporting prevalence of any complications of type 2 diabetes in Iran. ⋯ According to random effect, the estimated pooled prevalence of diabetic foot ulcer, cardiovascular disease, retinopathy, neuropathy and nephropathy in Iranian patients with T2DM were 3%(95% CI: 1-5%), 33%(95% CI: 16-49%), 36%(95% CI: 27-45%), 38% (95% CI: 14-63%), and 43% (95% CI: 27-60%), respectively. This updated meta-analysis shows that prevalence of major microvascular complications of T2DM in Iran is high. Our findings provide practical evidence for better planning and clinical decision making.