View clinical trials related to Diabetes Mellitus, Type 2.
Filter by:The objective of this study is to conduct a multisite trial evaluating the impact of adding an audio recording of clinic visits (AUDIO) to usual care in older adults with multimorbidity, including diabetes, compared to After Visit Summary (AVS) alone (Usual Care; UC).
Patients with type 2 diabetes who have poor blood glucose control are enrolled to evaluate the efficacy and safety of the HbA1c prediction model for adjust the hypoglycemic treatment regimen, compared with the conventional treatment using self-monitoring blood glucose or glycated albumin.
The goal of this clinical trial is to learn about the benefits of using aa Continuous Glucose Monitoring (CGM) system in patients with diabetes following discharge from the hospital. The main question it aims to answer is: • If the use of CGM with alarms is safe and effective for managing low and/or high blood sugars when compared with performing finger sticks several times per day Participants will wear one or two FreeStyle Libre CGM sensors for 12-14 days three times over a 12-week (3 month) period. This means that they will have the one to two sensors inserted under their skin. They will be asked to come to the study site four times and complete two phone calls with research staff over the 12-week period. Researchers will compare the LibreView CGM group to the Standard of Care group to see if the use of continuous glucose monitoring (CGM) reduces risk of low blood sugar in patients with type 2 diabetes (T2D) after hospital discharge when compared with the current standard method.
Study Background: Diabetes mellitus (DM) is a major non-communicable disease. Diagnosis and self-management of DM is important. Currently, detection of diabetes requires blood tests, which is costly and inconvenient, especially for elderlies.Tongue diagnosis has been used in Chinese medicine as a routine diagnostic method, and it has recently been studied for detection of DM and diabetic retinopathy (DR). We have developed a method for taking tongue images using smartphone, which can reveal more detailed features than conventional clinical tongue inspection. There are many limitations of the preliminary study. Therefore, it is our plan in this study to address these specific limitations with the following objectives. The results of this study will enable us to develop a practical App for diabetes screening and monitoring. Study Objective The aim of the study is to develop an algorithm for diabetes screening, with the following objectives: 1. . To determine the sensitivity and specificity of tongue images taken with smartphone in predicting abnormal HbA1c (≥6.5%); 2. To determine tongue image features responsible for the classification of normal and abnormal levels of HbA1c (≥6.5%); 3. To determine the sensitivity and specificity of tongues image in predicting four different levels of HbA1c: <6% (normal), 6-6.4% (prediabetes), 6.5-8.9% (diabetes) and ≥ 9% (diabetes with high HbA1c); 4. To determine the sensitivity and specificity of combining image analysis results with the results from a TCM symptom questionnaire in predicting the four levels of HbA1c. Hypothesis: Our working hypothesis is that different tongue coating features may be associated with different stages of diabetes, as indicated by different levels of HbA1c；and different combination of symptoms from a TCM point of view may also be associated with different levels of HbA1c. Thus, combining tongue image with TCM symptoms may allow a machine learning model to build an algorithm for HbA1c prediction with reasonable accuracy. Inclusion criteria: The inclusion criteria is adult subjects with HbA1c test results from a laboratory that meets the ISO 15189 standard, such as those laboratories used by the Hospital Authority of Hong Kong. Exclusion criteria: Subjects who are unable to give consent, unable to answer the questionnaire or to cooperate in tongue image collection will be excluded. We will not include subject who are unable to understand written Chinese or English. Study design: This is a cross-sectional design looking at the relationship between tongue image pattern and HbA1c reading. Age, gender, weight, height , duration of diabetes, family history of diabetes and any comorbid disease will be recorded. The level of hemoglobin and blood lipid profile will also be recorded if the information is available. Any acute repertory or digestive illness, as well as smoking habits will also be noted. An electronic questionnaire (using Qualtrics survey software) based on published TCM symptoms of diabetes and the abovementioned information will be used for data collection. Data processing and analysis 1. Tongue segmentation The images containing the tongue and its surrounding area will be processed for segmentation of the tongue area. This segmentation is carried out by a computer algorithm developed in-house by machine learning. 2. Machine learning Two approaches will be used in machine learning. In the first approach, we will first perform image classification of either normal or abnormal HbA1c and generate the probabilities for the classification using convolutional neural networks (CNNs) (Anwar et al., 2016; Ødegaard et al., 2016). Then we will try to classify the images into four different classes according to their HbA1c level: <6% (normal), 6-6.4% (prediabetes), 6.5-8.9% (diabetes) and ≥ 9% (diabetes with high HbA1c). Primary Outcome: Tongue image features: We will extract tongue image features and perform image classification of either normal or abnormal HbA1c and generate the probabilities for the classification using convolutional neural networks (CNNs). Then we will try to classify the images into four different classes according to their HbA1c level: <6% (normal), 6-6.4% (prediabetes), 6.5-8.9% (diabetes) and ≥ 9% (diabetes with high HbA1c). Secondary Outcome: Symptom patterns: Questionnaire data will be combined with image data for regression analysis
This trial plans to learn more about the effects of a medication, semaglutide, on cardiovascular function, kidney function, and insulin sensitivity in adults with type 1 diabetes. This medication has been effective in reducing cardiovascular disease and diabetic kidney disease and improving glucose control and BMI in adults with type 2 diabetes. This study aims to look at how well the medication works in people with type 1 diabetes. Semaglutide is not approved by the FDA to be used in this way. These procedures are considered to be experimental.
While cross-sectional studies have reported a significant association between diabetes and Apical Periodontics, prospective studies are scarce. This will be the first prospective interventional study to explore the cause-and-effect relation between AP and diabetes by assessment of levels of inflammatory markers in a longitudinal setting. Periapical healing in diabetics and nondiabetics will be compared after root canal treatment to evaluate the role of various physical and metabolic attributes on endodontic outcomes.
This study looks at how a new medicine insulin icodec helps in reducing blood sugar levels when given along with semaglutide in patients with type 2 diabetes. Participants will get the medicine insulin icodec once a week in the first part of the study (run-in period-26 weeks). Participants will only enter the second part of the study if the blood sugar levels have not reduced to normal. If blood sugar levels are normal after the first 26 weeks, participants will continue in a 5-week follow up period. In the second part of the study (intensification period-26 weeks), participants will get both insulin icodec and semaglutide once weekly after which they will continue in a 5-week follow up period. Participants will have to inject the study medicines once a week on the same day of the week in a skin fold in the thigh, upper arm or stomach. The study will last for about 13 months. Participants will get a blood glucose meter to check blood sugar levels. In addition, participants will be asked to enter blood sugar levels in the study phone. In addition, Participants will be asked to enter selected few blood sugar values (three times during the study) in a paper diary that will be provided to participants. Women cannot take part if pregnant, breast-feeding or plan to get pregnant during the study period.
The goal of this observational study is to describe the impacts of COVID-19 on primary care chronic condition management in Canada within various patient populations. This will be done by analyzing primary care electronic medial record (EMR) data from the Canadian Primary Care Sentinel Surveillance Network (CPCSSN) database, including data on primary care encounters, as well as various markers for chronic conditions. The research questions to be investigated are: 1a) What are the changes to the management of chronic conditions in primary care since the onset of the COVID-19 pandemic? 1b) How do these changes differ by age, health status, and socioeconomic status?
The purpose of the investigation is to evaluate the performance of the I3 CGM according to the FDA's special controls for iCGM.
This trial investigates the effects of continuous glucose monitoring (CGM) and an in-hospital diabetes team on in-hospital glycemic and clinical outcomes in patients with type 2 diabetes compared to standard glucose point-of-care (POC) testing and an in-hospital diabetes team.