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2,801 results for “diabetes mellitus”
A Study With Aleglitazar in Patients With a Recent Acute Coronary Syndrome and Type 2 Diabetes Mellitus
ClinicalTrials.gov study NCT01042769. IPD Sharing: Not stated. Countries: 27. Publications: 3.
A Study on the Prevalence of Obstructive Sleep Apnea in Patients With Type II Diabetes Mellitus
ClinicalTrials.gov study NCT01172093. IPD Sharing: Not stated. Countries: 1. Publications: 7.
Effect of Linking Data Using Smartphone Application, 'Well Check', on Clinical Outcomes in Patients With Type 2 Diabetes Mellitus
ClinicalTrials.gov study NCT06419816. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
IVI-guided Versus Angiography-guided PCI in Patients With Diabetes Mellitus
ClinicalTrials.gov study NCT06380868. IPD Sharing: NO. Countries: 1. Publications: 1.
Efficacy and Safety of AJU-A51 in Type 2 Diabetes Mellitus Patients
ClinicalTrials.gov study NCT06329674. IPD Sharing: NO. Countries: 1. Publications: 1.
Life-long Tele-monitoring of Patients With Type 2 Diabetes Mellitus in Central Greece
ClinicalTrials.gov study NCT01498367. IPD Sharing: Not stated. Countries: 1. Publications: 3.
Raw data for Association of ACE2 gene functional variants with gestational diabetes mellitus risk in a southern Chinese population
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Data from: Coenzyme Q10 ameliorates hepatoprotective effect of metformin in experimentally induced type 2 diabetes mellitus in rats: A functional and histological study
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Data from: Genetic determinants for gestational diabetes mellitus and related metabolic traits in Mexican women
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Data from: Impact on offspring methylation patterns of maternal gestational diabetes mellitus and intrauterine growth restraint suggest common genes and pathways linked to subsequent type 2 diabetes risk
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Data from: An exploratory association analysis of the insulin gene region with diabetes mellitus in two dog breeds
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Impact of COVID-19 lockdown on glycemic control in adults with type 1 diabetes mellitus: information and standardized questions regarding follow-up during lockdown
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Data from: Diabetes mellitus and prediabetes on kidney transplant waiting list- prevalence, metabolic phenotyping and risk stratification approach
Background: Despite a significant prognostic impact, little is known about disturbances in glucose metabolism among kidney transplant candidates. We assess the prevalence of diabetes mellitus (DM) and prediabetes on kidney transplant waiting list, its underlying pathophysiology and propose an approach for individual risk stratification. Methods: All patients on active kidney transplant waiting list of a large European university hospital transplant center were metabolically phenotyped. Results: Of 138 patients, 76 (55%) had disturbances in glucose metabolism. 22% of patients had known DM, 3% were newly diagnosed. 30% were detected to have prediabetes. Insulin sensitivity and -secretion indices allowed for identification of underlying pathophysiology and risk factors. Age independently affected insulin secretion, resulting in a relative risk for prediabetes of 2.95 (95%CI 1.38-4.83) with a cut-off at 48 years. Body mass index independently affected insulin sensitivity as a continuous variable. Conclusions: The prevalence of DM or prediabetes on kidney transplant waiting list is as high as 55%, with more than one third of patients previously undiagnosed. Oral glucose tolerance test is mandatory to detect all patients at risk. Metabolic phenotyping allows for differentiation of underlying pathophysiology and provides a basis for early individual risk stratification and specific intervention to improve patient and allograft outcome.
Data from: Serum levels of endothelial glycocalyx constituents in women at 20 weeks' gestation who later develop gestational diabetes mellitus compared to matched controls: a pilot study
Objectives: The aim of this pilot study was to determine the serum concentration of heparan sulfate, hyaluronan, chondroitin sulfate and syndecan-1 and if these serum concentrations can be used to identify women at 20 weeks' gestation who later develop gestational diabetes mellitus (GDM). Design: Nested case–control study from Auckland, New Zealand participants in the prospective cohort Screening for Pregnancy Endpoints study. Setting: Auckland, New Zealand. Participants: 20 pregnant women (70% European, 15% Indian, 10% Asian, 5% Pacific Islander) at 20 weeks' gestation without any hypertensive complications who developed GDM by existing New Zealand criteria defined as a fasting glucose ≥5.5 mmol/L and/or 2 hours ≥9.0 mmol/L after a 75 g Oral Glucose Tolerance Test. Women not meeting these criteria were excluded from this study. The patients with GDM were matched with 20 women who had uncomplicated pregnancies and negative screening for GDM and matched for ethnicity, maternal age and BMI. Primary and secondary outcome measures: The primary measures were the serum concentrations of syndecan-1, heparan sulfate, hyaluronan and chondroitin sulfate determined by quantitative ELISA. There were no secondary outcome measures. Results: Binary logistic regression was performed to determine if serum concentrations of endothelial glycocalyx layer constituents in women at 20 weeks' gestation would be useful in predicting the subsequent diagnosis of GDM. The model was not statistically significant χ2=12.5, df=8, p=0.13, which indicates that the model was unable to distinguish between pregnant women at 20 weeks' gestation who later developed GDM and those who did not. Conclusions: Serum concentrations of syndecan-1, heparan sulfate, hyaluronan and chondroitin sulfate in pregnant women at 20 weeks' gestation were not associated with later development of GDM. To further explore whether there is any relationship between endothelial glycocalyx constituents and GDM, the next step is to evaluate serum concentrations at the time diagnosis of GDM.
Data from: Retinal capillary rarefaction in patients with type 2 diabetes mellitus
Purpose: In diabetes mellitus type 2, capillary rarefaction plays a pivotal role in the pathogenesis of end-organ damage. We investigated retinal capillary density in patients with early disease. Methods: This cross-sectional study compares retinal capillary rarefaction determined by intercapillary distance (ICD) and capillary area (CapA), measured non-invasively and in vivo by scanning laser Doppler flowmetry, in 73 patients with type 2 diabetes, 55 healthy controls and 134 individuals with hypertension stage 1 or 2. Results: In diabetic patients, ICD was greater (23.2±5.5 vs 20.2±4.2, p = 0.013) and CapA smaller (1592±595 vs 1821±652, p = 0.019) than in healthy controls after adjustment for differences in cardiovascular risk factors between the groups. Compared to hypertensive patients, diabetic individuals showed no difference in ICD (23.1±5.8, p = 0.781) and CapA (1556±649, p = 0.768). Conclusion: In the early stage of diabetes type 2, patients showed capillary rarefaction compared to healthy individuals.
Data from: Diabetes mellitus and the risk of fractures at specific sites: a meta-analysis
Objective: Diabetes mellitus (DM) is associated with an increased fracture risk; however, the impact of DM and subsequent fracture at different sites and the associations according to patient characteristics remain unknown. Design: Meta-analysis. Data Sources: The PubMed, EMBASE, and Cochrane Library databases were searched from inception to March 2018. Eligibility Criteria: We included prospective and retrospective cohort studies on the associations of DM and subsequent fracture risk at different sites. Data extraction and synthesis: Two authors independently extracted data and assessed the study quality. Relative risks (RRs) with 95% confidence intervals (CIs) were calculated using a random-effects model, and the heterogeneity across the included studies was evaluated using I2 and Q statistics. Results: Overall, DM was associated with an increased risk of total (RR: 1.32; 95% CI: 1.17–1.48; P<0.001), hip (RR: 1.77; 95% CI: 1.56–2.02; P<0.001), upper arm (RR: 1.47; 95% CI: 1.02–2.10; P=0.037), and ankle fractures (RR: 1.24; 95% CI: 1.10–1.40; P<0.001), whereas DM had no significant impact on the incidence of distal forearm (RR: 1.02; 95% CI: 0.88–1.19; P=0.809) and vertebral fractures (RR: 1.56; 95% CI: 0.78–3.12; P=0.209). RR ratios suggested that compared with type 2 DM (T2DM) patients, type 1 DM (T1DM) patients had greater risk of total (RR ratio: 1.24; 95% CI: 1.08–1.41; P=0.002), hip (RR ratio: 3.43; 95% CI: 2.27–5.17; P<0.001), and ankle fractures (RR ratio: 1.71; 95% CI: 1.06 –2.78; P=0.029). Although no other significant differences were observed between subgroups, the association of DM with upper arm or ankle, vertebrae, and total fracture differed according to sex, study design, and country, respectively. Conclusions: DM patients had greater risks of total, hip, upper arm, and ankle fractures, with T1DM having a more harmful effect than T2DM.
Data from: Clinical and metabolic characteristics among Mexican children with different types of diabetes mellitus
Background: Current classification of diabetes mellitus (DM) is based on etiology and includes type 1 (T1DM), type 2 (T2DM), gestational, and other. Clinical and pathophysiological characteristics of T1DM and T2DM in the same patient have been designated as type 1.5 DM (T1.5DM). Objectives: The aim of this study was to classify pediatric patients with DM based on pancreatic autoimmunity and the presence or absence of overweight/obesity, and to compare the clinical, anthropometric, and biochemical characteristics between children in the different classes of DM. Methods: A sample of 185 patients, recruited (March 2008-April 2015) as part of the Cohort of Mexican Children with DM (CMC-DM); ClinicalTrials.gov, identifier: NCT02722655. The DM classification was made considering pancreatic autoimmunity (via antibodies GAD-65, IAA, and AICA) and the presence or absence of overweight/obesity. Clinical, anthropometric and biochemical variables, grouped by type of DM were compared (Kruskal-Wallis or chi-squared test). Results: The final analysis included 140 children; 18.57% T1ADM, 46.43% T1BDM, 12.14% T1.5DM, and 22.86% T2DM. Fasting C-Peptide (FCP), and hs-CRP levels were higher in T1.5DM and T2DM, and the greatest levels were observed in T1.5DM (p<0.001 and 0.024 respectively). Conclusions: We clearly identified that the etiologic mechanisms of T1DM and T2DM are not mutually exclusive, and we detailed why FCP levels are not critical for the classification system of DM in children. The findings of this study suggest that T1.5DM should be considered during the classification of pediatric DM and might facilitate more tailored approaches to treatment, clinical care and follow-up.
Impact of chronic psychological stress on platelet membrane fatty acid composition in type 1 diabetes mellitus
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COMPARATIVE EVALUATION OF COMPLICATIONS OF DIABETES MELLITUS - NEUROPATHY AND ANGIOPATHY
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Knee Proprioception, Muscle Strength, and Stability in Type 2 Diabetes Mellitus: Unveiling the Moderating Effects of Physical Activity – A cross-sectional study.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.