View clinical trials related to Diabetes Mellitus, Type 2.
Filter by:The goal of this randomized clinical trial is to determine the effect of a chrono nutrition intervention compared with a usual dietary intervention on insulin resistance in individuals with type 2 diabetes with overweight or obesity over a 6-month period. The main question it aims to answer is: What is the effect of a chrono nutrition intervention compared to a standard intervention on insulin resistance in individuals with T2D (type 2 diabetes) with overweight or obesity over a 6-month period? Participants: - Will be asked to fast for 12 hours each day. During the fasting period, they may consume non-caloric beverages such as plain water, coffee, or unsweetened tea. - They will be asked to follow a dietary plan in which the total daily calorie intake will be calculated using indirect calorimetry, subtracting 500 calories from the total calorie amount. - The dietary plan will have the following macronutrient distribution: 40% carbohydrates (<10% simple carbohydrates), 20% protein, and 40% fats (6-11% polyunsaturated, 15-20% monounsaturated, and <10% saturated). - The plan will consist of 3 meals: breakfast will account for 40% of the total calories. Dinner will include only 10% of the total grams of carbohydrates. - The order of food consumption should be: 1) vegetables, 2) proteins, 3) complex carbohydrates, and 4) simple carbohydrates (fruits). Researchers will compare the chrono nutrition strategy with a standard dietary intervention to see the effect in insulin resistance.
To evaluate the impact of the DBLG1 hybrid closed-loop system on glycemic control and patient-reported outcomes in adults living with type 1 diabetes under real-life conditions.
This study looks at how a mobile based app called 'Dose Check' used along with Tresiba helps to control blood sugar level in participants with type 2 diabetes mellitus. Participants will get Tresiba as prescribed by the study doctor or participants will continue already prescribed treatment with Tresiba. Participants will also be prescribed to use Dose Check app by the study doctor and will be asked to install the Dose Check app in their mobile phone, which will support participants with the correct dose of Tresiba. This study will last for about 6 to 7 months.
A randomized clinical trial will be done on 50 patients , randomly divided into two groups by lottery method to compare the glycemic control in patients of Type 2 Diabetes Mellitus by the use of Moringa Oleifera (MO) capsules. Patients will be given Moringa Oleifera (MO) capsules for 3 months and follow up will be conducted after 3 months to assess glycemic control.
The HEARTS Technical Package was developed by the World Health Organization to address the implementation gap of cardiovascular disease prevention in low- and middle-income countries. Guatemala is a middle-income country that is currently implementing HEARTS. National authorities are interested in exploring how hypertension and diabetes management can be integrated in HEARTS implementation. The objective of this study is to conduct a feasibility and acceptability pilot trial of integrated hypertension and diabetes management based on HEARTS in the publicly funded primary care system in Guatemala.
Bariatric surgery is the most effective treatment to achieve type 2 Diabetes Mellitus (DM) remission in patients with severe obesity. However, there is little evidence of the effectiveness and pathophysiological mechanisms involved in metabolic improvement after hypoabsortive tecniques such as duodenal switch (DS), single anastomosis duodenal switch (SADI-S) or minigastric bypass (MGB). We have designed a randomized study to compare type 2 diabetes remission after the 3 bariatric procedures in patients with severe obesity (BMI > 45kg/m2) and to study the implication of gastrointestinal hormones, bile acids and gut microbiota in metabolic improvement in each procedure.
The system accuracy of 14 blood glucose monitoring systems is to be evaluated randomly in accordance with DIN EN ISO 15197:2015 over thr courese of 24 months
The goal of this interventional clinical study is to examine if there will be a change in metabolic indices (glycemic and lipid parameters) among persons with type 2 diabetes (T2D) who will receive a probiotic dietary supplement capsule for 6 months compared to those not receiving such a treatment (they will receive a matching placebo capsule that does not contain active ingredients). The main questions to answer are: 1. Will glycemic indices, i.e., glycated hemoglobin (HbA1c) and fasting blood glucose, be different in people taking the probiotic treatment, compared to those not taking it, after 6 months? 2. Will other metabolic indices, mostly blood lipid levels (total cholesterol, triglycerides, HDL- and LDL-cholesterol) and liver function tests, be different in people taking the probiotic treatment compared to those not taking it after 6 months? 3. Will adiposity measures (weight, waist circumference) be affected by probiotic treatment in the two groups? Studies in animals and humans, mostly of shorter duration (<12 weeks) so far, have shown a possible trend towards improvement with probiotic treatment in all these parameters, but longer-term studies are scarce, and in Greece, there is none. Since diabetes treatment is complex (usually involving many medications) and expensive, developing cost-effective functional healthcare products for regulating blood glucose more efficiently has been recognized as a beneficial alternative. Participants will be adult individuals (>18 years old) with T2D, followed at the outpatient Diabetes Center of the Laiko General Hospital, National and Kapodistrian University of Athens Medical School, in Athens, Greece, who will be randomized to receive either a probiotic dietary supplement or a matching placebo capsule, once a day. They will be followed every 3 months (as is customary for diabetic patients). They will be monitored regarding their glycemic control (HbA1c and fasting blood glucose), lipid parameters, liver and renal function, and anthropometric changes (weight, waist circumference, and blood pressure). Furthermore, participants will be asked to give a stool sample at the study's beginning and end (6 months) for gut microbiota analysis. A questionnaire will also be administered at the last visit (6 months) asking about patients' tolerance and satisfaction with the treatment (frequency of constipation, diarrhea, bowel function, bloating, gas production, and abdominal pain).
Aims of the study: 1. To deliver a scalable wellbeing programme to the local population of Imperial College Healthcare NHS Trust, focusing on movement. 2. To describe the natural history of long-term conditions using digital data from a smartwatch. 3. To identify digital information that is routinely collected by a smart watch that can be used to predict outcomes in patients with long term conditions. 4. To identify factors that determine whether participants engage with and improve in a movement programme. Adult patients who are registered to the Imperial NHS Care Information Exchange (CIE), an NHS patient-facing electronic health record, are eligible to participate in the study. Participants will receive a smart watch for self-monitoring of their movement and wellbeing and be asked to wear the device as much as possible. They will be asked to download a smartphone application called Connected Life, which displays movement and information on heart rate, breathing and oxygen levels to both the participant and the research team (digital data). Participants will receive secure login details for the Connected Life application from the research team, to ensure data privacy. The research team will look at participants' health records, and attempt to identify associations between the digital data and clinical information. This will allow the research team to identify digital data that predicts the onset and natural history of long term conditions, which may potentially allow for earlier diagnosis for future patients. The primary outcome of the study is the identification of trends in movement based on step-count data recorded by the smartwatch.
The investigators investigate the heterogeneity fatty liver disease (FLD) as well as risk factors associated with progression of the liver diseases or development of cardiovascular complication. The overarching aim is to develop a AI-based prediction model that could be integrated into the electronic medical record system. To identify large numbers of unselected individuals with FLD, the investigators developed a phrase recognition algorithm, which identifies FLD using radiology reports. Within the data lake of Helsinki University Hospital, they identified a large number of individuals with or without FLD. The investigators will now randomly invite 1000-1500 individuals with FLD to a follow-up study including investigation of metabolism and progression of liver disease (elastography, blood tests) as well as gathering life-style information. Register data on previous diagnoses and medication will be used to evaluate cardiovascular disease.