Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy
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#1Xichang Wang (PRC: China Medical University (PRC))H-Index: 2
#2Haoyu Wang (PRC: China Medical University (PRC))H-Index: 6
Last. Yaxin Lai (PRC: China Medical University (PRC))H-Index: 9
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Background Some studies have reported that chronic kidney disease (CKD) or the estimated glomerular filtration rate (eGFR) is significantly associated with metabolic abnormalities. Methods Six hundred forty-six community residents aged 45-60 years without overt renal dysfunction were recruited in this cross-sectional study. eGFR was estimated by serum creatinine measurement. The visceral fat area (VFA) and subcutaneous fat area (SFA) were assessed by magnetic resonance imaging (MRI). The body ma...
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Objective This study aims to explore the factors influencing the renal glucose threshold (RTG) in patients with newly diagnosed type 2 diabetes mellitus (T2DM). Methods A cross-sectional study was conducted on 1009 hospitalized patients with T2DM using stratified random sampling. Blood glucose was monitored using a dynamic blood glucose monitor to obtain the mean blood glucose (MBG), which is used to calculate the RTG. The factors influencing the RTG were then analyzed. Results The mean RTG in p...
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Background The study on the association between aspartate aminotransferase to alanine aminotransferase (AST/ALT) ratio and the risk of type 2 diabetes mellitus (T2DM) was limited. Therefore, we conducted a secondary analysis based on online data to explore whether there was an association between the AST/ALT ratio and incident T2DM among a large number of Japanese people. Methods The study was a retrospective cohort study. We downloaded the NAGALA (NAfld in Gifu area) data from DATADRYAD website...
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#1Huan-Yu Guo (ZJU: Zhejiang University)H-Index: 1
#2Wen-Wei JiangH-Index: 1
Last. Zhenya Lu (ZJU: Zhejiang University)H-Index: 1
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Purpose To develop a predictive model for the risk of metabolic syndrome (MetS). Patients and Methods Totally, 1556 residents without MetS were finally included in 2006 and they were observed for 8 years to check who developed MetS. Univariate and multivariate logistic regression analyses was adopted to explore the risk factors of MetS and develop the predictive model that used the medical examination information of MetS risk after 8 years. The receiver operating characteristic (ROC) curve was d...
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#2Xiaomu Kong (China-Japan Friendship Hospital)H-Index: 12
#3Zhaojun Yang (China-Japan Friendship Hospital)H-Index: 11
Last. Xiaoping Chen (China-Japan Friendship Hospital)H-Index: 7
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#1Jun Li (Shihezi University)H-Index: 8
#3Siyuan Li (Shihezi University)H-Index: 3
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