View clinical trials related to Diabetes Mellitus, Type 2.
Filter by:The rational of this study is to assess if AHCL systems are able to achieve a better metabolic control (better glucometric data) after 2 weeks, 1 months. 6 months and 1 year after the start, in adolescents in not good glycaemic control.
The goal of this cluster randomized trial is to evaluate the effectiveness of the RISIMA model based on an integrated county healthcare consortium implemented by multi-level family health teams (FHTs)on patients with diabetes and/or hypertension, including CVD risk assessment, treatment, and management.
A randomized study of continuing versus holding metformin during hospitalizations to internal medicine services to determine the effects on glucose control, acidosis, abdominal symptoms, length of stay, and mortality.
The current research study will add continuous glucose monitoring devices to the evidence-based text messaging diabetes education program for patients with type 2 diabetes for 6 months. Results on the effectiveness of this intervention will be compared for non-insulin using patients.
The main objective is to assess whether hybrid closed-loop (HCL) insulin delivery initiated early after diagnosis of Type 1 diabetes (T1D) allows a better efficacy on glucose control than conventional standard insulin therapy with multiple daily insulin injections (MDI) or insulin pumps after one year of use. The secondary objectives are to assess whether HCL initiated early after diagnosis of T1D allows: (1) Higher time spent with glucose level in the near-normal range, (2) Lower time spent in hypoglycemia and hyperglycemia, (3) Lower glucose variability, (4) Lower perceived burden of diabetes management, (5) Better preserved endogenous insulin secretion, all the above after one year of use, (6) Lower occurrence of interventions for hypoglycemia, versus conventional standard insulin therapy with MDI or insulin pump. An optional 1-year extension aims at assessing: (1) Sustainability of above mentioned parameters over a second year of HCL use in the group who started HCL early after diagnosis, (2) Efficacy on glucose control according to the above mentioned parameters when HCL is initiated early after diagnosis vs. after 1 year in the control group of the randomized phase.
The goal of this interventional study is to test ways to improve the effectiveness of a healthy foods prescription program in increasing the purchase of healthy foods for patients who have both obesity (BMI > 30) and diabetes (last A1C>8 in the last 90 days). The main questions it aims to answer are: Aim 1: Examine feasibility and engagement among participants by assessing percent enrollment among those identified as eligible, rates of Instacart platform use, amount of the subsidy used each week, and amounts of healthy foods ordered. Aim 2: Examine strategies to optimize the user experience of trial participation, including communication strategies and on-boarding, to increase uptake and engagement in this and subsequent studies. Usual Care (Control): Participants in the usual care arm will not receive weekly subsidies on Instacart, and they will not receive any modifications to the virtual storefront on Instacart. They will have access to the standard Instacart platform and Instacart + memberships with $5 per week to cover service and delivery fees and delivery tips for 3 months. Intervention Arms: The four treatment groups will also each receive a $160 subsidy per month for 3 months to be used on produce (fruits and vegetables).
Standardized longitudinal data collection of diabetes management relevant factors in women with T1D (insulin requirements (insulin pump or smart pen data), glucose variability (CGM data), nutritional information, and menstrual cycle information (cycle tracking app, LH tests, and premenstrual symptoms)) to identify categories of cycle trajectories.
The study explores the utilization of artificial intelligence (AI) to predict disease progression trajectories in patients with diabetes. By analyzing historical data from a retrospective cohort, we aim to identify patterns and predictors of disease evolution. The approach seeks to enhance personalized treatment strategies and improve outcomes by foreseeing potential complications and disease milestones. The findings could pave the way for more targeted and effective management of diabetes through AI-driven insights.
To compare the choroidal thickness in eyes of diabetic patients with eyes of age matched controls using optical coherence tomography.
This study was planned with a randomized controlled experimental design to examine the effects of acupressure and ankle exercises on ankle brachial index in individuals with Type 2 diabetes.