View clinical trials related to Diabetes Mellitus, Type 2.
Filter by:This phase I clinical trial is used to evaluate the safety of Andiabet, a herbal-derived medicinal product that assists in the treatment of type 2 Diabetes (T2D). Thereby, determine efficacy of the drug on stabilizing blood glucose in T2D patients.
The aim of this study is to assess the levels of neuregulin-4 and its receptor ErbB4 in the GCF and saliva in stage III and IV periodontitis patients with and without type 2 diabetes mellitus.
Diabetes is a significant medical problem in the United States and across the world. Despite significant progress in understanding how to better manage diabetes, there is oftentimes still uncertainty in the optimal management strategy for a specific patient. As a result, providers and patients must often use a trial-and-error approach to identify an effective treatment regimen. The project team has previously developed a Diabetes Dashboard that summarizes relevant patient information (e.g., medication history and recent hemoglobin A1c trend). This dashboard allows a clinician to select a target hemoglobin A1c level for the patient in 3 or 6 months, then compare and contrast different options for treatment, including weight loss and the use of different medication regimens. Included in this comparison are known benefits and side effects, as well as the likely chances of achieving the treatment target given the experience of past, similar patients. The Diabetes Dashboard is already available as an optional tab in the EHR system. The project team has also previously developed the Disease Manager App for evidence-based chronic disease management and health maintenance. The Disease Manger Application is fully integrated with the EHR, and it provides care guidance via individual chronic disease modules as well as a unified module that encompasses all relevant modules for chronic diseases and health maintenance. The initial modules that have been developed are for chronic obstructive pulmonary disease, hypertension, diabetes mellitus, and health maintenance. The objective of this research is to evaluate the Diabetes Dashboard integrated with the Disease Manager App. The Intervention consists of the diabetes module of the Disease Manager App, which incorporates content from the Diabetes Dashboard for pharmacotherapy prediction and provides a link to the Diabetes Dashboard.
The American Diabetes Association recommends implementing the Diabetes Prevention Program (DPP) in subjects with prediabetes. In the DPP, weight reduction was the main predictor of a lower incidence of type 2 diabetes (T2D), each kilogram lost was related with 16% lower incidence. However, the effectiveness of the DPP in primary care settings is lower than the original study. A meta-analysis of 36 pragmatic clinical trials of DPP in primary care settings showed a reduction in T2D incidence by 26%, less than half than the original study (58%), with a pooled mean weight loss 1.57 kg higher than standard care, demonstrating the large difficulties to reduce weight of participants at community levels. Total diet replacement (TDR) with low-energy liquid-diet or solid diet (825-853 kcal/day) is an effective strategy to reduce weight. The effectiveness of an intervention including initial rapid weight loss before starting the DPP is ignored in primary care levels in Venezuela. We aim: 1- To compare the weight loss achieved of two lifestyle intervention programs in a community health center of Venezuela: a) A hybrid lifestyle including rapid weight loss with total diet replacement (TDR), then medical nutrition therapy (MNT), and the DPP, VS b) only the DPP; 2- To evaluate the change of cardiometabolic risk factors between groups; 3- To evaluate the implementation process. Our hypothesis is: after six months of intervention, subjects receiving a hybridized lifestyle (TDR+MNT+DPP) will double the weight loss of those that only receive DPP.
Being overweight or obese has been associated with insulin resistance contributing to an increased risk for the development of type II diabetes. Food intake, metabolic rate, and blood glucose levels are regulated by the autonomic nervous system, including the vagus nerve. This study evaluates the hypothesis that non-invasive transcutaneous auricular vagus nerve stimulation (taVNS) affects hormones that regulate food intake and blood glucose levels in a way that is consistent with reduced food intake and lower blood glucose levels. The investigators further hypothesize that these effects of taVNS depend on body weight. In a cross-over design generally healthy study participants will receive either taVNS or a sham intervention for 30 minutes on two separate study days. The order of the intervention on the two study days will be randomized and the two study days are at least one week apart. Based on body mass index (BMI) study participants are assigned to either a normal weight (BMI<25), overweight (BMI<30), or obese (BMI>30) group. Capillary blood samples taken by finger prick before and after the intervention on each study day will be analyzed for blood glucose concentration and hormones that are linked to food intake and blood glucose levels. In addition, autonomic function will be assessed by heart rate variability analysis of ECG recordings obtained before, during, and after the intervention on each study day.
Prospective, non-interventional, multicentric study
The aim of this study is to describe the metabolic changes during pregnancy in women with type 2 diabetes or gestational diabetes in order to detect the pathophysiological mechanisms behind severe insulin resistance during pregnancy as well as the short- and long term consequences for mother and child. Included pathophysiological mechanisms potentially associated with severe insulin resistance are: Maternal hormonal, inflammatory and metabolic markers in the blood, as well as the level, content and bioactivity of exosomes and genetic variants associated with overweight and diabetes. In addition to the analysis on maternal blood, the same analysis will be performed on umbilical cord blood in order to determine the correlation between markers associated with insulin sensitivity in maternal and umbilical blood. Furthermore, fetal metabolic changes influence on fetal growth and development will be evaluated. Postpartum, the breast milk will also be examined for metabolic active substances that could influence the newborns growth and metabolism. Investigating one potential short-term consequence of diabetes during pregnancy, the association between insulin resistance and structural and functional changes in the placenta will be examined as well as the consequences of such changes on fetal growth and development. Investigating one potential long-term consequence of diabetes during pregnancy, the association between treatment with high doses of insulin during pregnancy and the future risk of developing cardiovascular diseases and heart failure will be examined.
To determine if patients with a history of Diabetes Mellitus Type I or II developed a change in blood glucose levels as reported on Continuous glucose monitoring devices (CGMS) within the first week following administration of each dose of the COVID-19 vaccine.
The aim of this study is to develop a clinical decision support system (CDSS) that incorporates obesity management guidelines and treatment options for use by physicians and, potentially, patients based on a cardiometabolic disease staging system. This CDSS will be designed using primary care provider input through a qualitative approach to explore physician preferences for the appearance, electronic location, treatment options, referrals, accessibility and other user requirements of the CDSS.
Activities-specific Balance Confidence (ABC) scale is a well-known tool to evaluate functional balance. Diabetic patients suffer more often from balance disorders than the rest of the population. The aim is to investigate the validity of the Turkish version of ABC short form in patients with diabetes mellitus (DM).