Listing 1 - 10 of 108 | << page >> |
Sort by
|
Choose an application
Choose an application
Diabetes in pregnancy. --- Type 2 diabetes --- Diabetes in women. --- Prevention.
Choose an application
Diabetes Mellitus --- Diabetes Insipidus --- Glucose Intolerance
Choose an application
Diabetes --- Diabetes in children --- Research --- Government policy
Choose an application
This dissertation by Linda Åkerman explores the pre-diabetic period in Type 1 Diabetes (T1D), focusing on autoimmune processes leading to insulin deficiency. It investigates risk factors in children from the general population, particularly those with positive autoantibody screenings, to identify indicators of progression to T1D. The study assesses glucose homeostasis, autoantibody titers, gene expression, and miRNA profiles over a two-year follow-up. The findings suggest that specific autoantibodies (IA2A and ZnT8A) and disturbed glucose homeostasis are prevalent in individuals progressing to T1D. Additionally, the role of insulin resistance as a potential accelerator of the disease process is examined. The research highlights the importance of early detection and the potential impact of physical activity on glucose regulation. The work is aimed at clinicians and researchers in pediatric diabetes, contributing to a deeper understanding of T1D development.
Diabetes. --- Autoimmune diseases. --- Diabetes --- Autoimmune diseases
Choose an application
This dissertation by Pär E:son Jennersjö investigates risk factors in type 2 diabetes, focusing on blood pressure, physical activity, and serum vitamin D levels. Conducted in Sweden, the study utilizes data from the CARDIPP cohort to identify markers for high-risk patients. Key findings include the impact of physical activity on arterial stiffness, the role of blood pressure patterns in organ damage, and the association of vitamin D levels with mortality risk. Aimed at healthcare professionals, the research underscores the importance of monitoring these factors to improve patient outcomes in primary care settings.
Diabetes. --- Blood pressure. --- Diabetes --- Blood pressure
Choose an application
Diabetes Mellitus, Type 1. --- Diabètes. --- Diabète insulinodépendant.
Choose an application
80405706
Choose an application
The majority of patients with type 2 diabetes in Norway are followed up in primary care. We have investigated the effect of using a structured way of registering clinical data (structured data collection of for example HBA1c and blood pressure) on mortality and morbidity for patients with diabetes type 2. MEDLINE, EMBASE, ISI Web of Science, Cochrane CENTRAL and PubMed were searched and trials 1. with adults over 18 with diabetes who were followed up by their General Practitioner and 2. looking at the effect on mortality and morbidity with or without using a structured data collection were included. The results were summarised narratively or in meta-analyses. We included eight trials. One trial (1262 participants) investigated the effect on: 1. Mortality (HR 0.91; 95% KI 0.72-1.14) 2. Myocardial infarction (OR 0.65; 95% KI 0.31-1.35) 3. Stroke (OR 0.89; 95% KI 0.39-2.01) 4. Peripheral neuropathy (OR 0.86; 95% KI 0.57-1.29) 5. Retinopathy (OR 0.90; 95% KI 0.53-1.52) without finding a clear effect. Eight trials investigated the effect on risk factors. Structured data collection seems to have little or no effect on body weight (4 trials), but a small, positive effect on blood pressure (7 trials) and total cholesterol (3 trials). Published data do not provide clear answers, but shows a possible trend in favour of using a structured way of registering clinical data, for patients with diabetes being followed up by their general practitioner on mortality and morbidity.
Choose an application
The majority of patients with type 2 diabetes in Norway are followed up in primary care. We have investigated the effect of using a structured way of registering clinical data (structured data collection of for example HBA1c and blood pressure) on mortality and morbidity for patients with diabetes type 2. MEDLINE, EMBASE, ISI Web of Science, Cochrane CENTRAL and PubMed were searched and trials 1. with adults over 18 with diabetes who were followed up by their General Practitioner and 2. looking at the effect on mortality and morbidity with or without using a structured data collection were included. The results were summarised narratively or in meta-analyses. We included eight trials. One trial (1262 participants) investigated the effect on: 1. Mortality (HR 0.91; 95% KI 0.72-1.14) 2. Myocardial infarction (OR 0.65; 95% KI 0.31-1.35) 3. Stroke (OR 0.89; 95% KI 0.39-2.01) 4. Peripheral neuropathy (OR 0.86; 95% KI 0.57-1.29) 5. Retinopathy (OR 0.90; 95% KI 0.53-1.52) without finding a clear effect. Eight trials investigated the effect on risk factors. Structured data collection seems to have little or no effect on body weight (4 trials), but a small, positive effect on blood pressure (7 trials) and total cholesterol (3 trials). Published data do not provide clear answers, but shows a possible trend in favour of using a structured way of registering clinical data, for patients with diabetes being followed up by their general practitioner on mortality and morbidity.
Listing 1 - 10 of 108 | << page >> |
Sort by
|