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425 results for “Type 1 diabetes mellitus”

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ClinicalTrials.gov28/100

A Study of LY900014 Formulation in Participants With Type 1 Diabetes Mellitus Using Insulin Pumps

ClinicalTrials.gov study NCT02703324. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov28/100

Islet Transplantation for Type 1 Diabetes Mellitus

ClinicalTrials.gov study NCT00437398. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov28/100

Extension Study to Assess Safety and Efficacy of Mylan's Insulin Glargine and Lantus® in Type 1 Diabetes Mellitus (T1DM) Patients

ClinicalTrials.gov study NCT02666430. IPD Sharing: Not stated. Countries: 8. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov28/100

A Pilot Study of Moderate Hyperbilirubinemia in Type 1 Diabetes Mellitus

ClinicalTrials.gov study NCT01421355. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov28/100

A Three-part Study to Evaluate the Safety, Pharmacokinetics and Pharmacodynamics of MK-2640 in Healthy Participants (Part I) and Participants With Type 1 Diabetes Mellitus (Parts II and III) (MK-2640-

ClinicalTrials.gov study NCT02269735. IPD Sharing: YES. Countries: 0. Publications: 1.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov28/100

A Study of LY900014 in Participants With Type 1 Diabetes Mellitus

ClinicalTrials.gov study NCT03465878. IPD Sharing: NO. Countries: 2. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov28/100

Pilot Study of Hippocampal Function in Type 1 Diabetes Mellitus (T1DM)

ClinicalTrials.gov study NCT00918801. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov28/100

1,5 Anhydroglucitol and 1,5 Anhydroglucitol / Glycated Hemoglobin Ratio as a Potential Biomarker for Islet β-cell Function and Insulin Resistance Among Patients With Type 2 Diabetes Mellitus

ClinicalTrials.gov study NCT04869605. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
geo24/100

Understanding the role of Type 1 diabetes mellitus in osteoarthritis

GEO Series GSE198836. Mus musculus. 8 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenMar 2022View details →
geo24/100

MicroRNA 144 impairs insulin signaling by inhibiting the expression of insulin receptor substrate 1 in Type 2 Diabetes mellitus

GEO Series GSE26167. human gammaherpesvirus 4; JC polyomavirus; Human gammaherpesvirus 8; Betapolyomavirus macacae; Rattus norvegicus; Mus musculus; Human alphaherpesvirus 1; Human betaherpesvirus 5; Murid betaherpesvirus 1; Human immunodeficiency virus 1; Homo sapiens; Murid gammaherpesvirus 4; Betapolyomavirus hominis. 10 samples. Type: Non-coding RNA profiling by array.

openGEO-OpenDec 2010View details →
geo24/100

Genome wide DNA methylation profiling of diabetic nephropathy in type 1 diabetes mellitus

GEO Series GSE20067. Homo sapiens. 195 samples. Type: Methylation profiling by array.

openGEO-OpenMar 2010View details →
geo24/100

Characterization of peripheral blood TCR in patients with Type 1 Diabetes Mellitus by BD Rhapsody™ VDJ CDR3 Assay

GEO Series GSE197456. Homo sapiens. 4 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenFeb 2022View details →
geo24/100

Serum microRNA profile of human type 1 diabetes mellitus

GEO Series GSE94649. Homo sapiens. 12 samples. Type: Non-coding RNA profiling by array.

openGEO-OpenFeb 2017View details →
zenodo24/100

Primary documentation on the scientific study of indicators of continuous monitoring and flash monitoring of glycemia in children and adolescents with type 1 diabetes mellitus

<p>The main purpose of creating an electronic database was to evaluate the performance of continuous glucose monitoring (CGM) and flash monitoring (FMS) in children and adolescents diagnosed with type 1 diabetes mellitus. The database is intended for entering, systematizing, storing and displaying patient data (date of birth, age, date of diagnosis of type 1 diabetes mellitus, length of illness, date of first visit to an endocrinologist, with the installation of a CGM or FMS), glycated hemoglobin indicators initially , during the study and ultimately, as well as CGM, FMS data (average glucose level, glycemic variability, percentage of cases above the target range, percentage of cases within the target range, percentage of cases below the target range, number of hypoglycemic episodes and their average duration, frequency of daily scans and frequency of sensor readings).</p><p>The database is the basis for comparative statistical analysis of dynamic monitoring indicators in groups of patients with the presence or absence of diabetic complications (neuropathy, retinopathy and nephropathy). The database presents the results of a prospective, open, controlled, clinical study obtained over a year and a half. The database includes information on 307 patients (adolescent children) aged 3 to 17 years inclusive. During the study, the observed patients were divided into two groups: Group 1 - patients diagnosed with type 1 diabetes mellitus and with diabetic complications, 152 people, Group 2 – patients diagnosed with type 1 diabetes mellitus and with no diabetic complications, 155 people. All registrants of the database were assigned individual codes, which made it possible to exclude personal data (full name) from the database.</p><p>The database is executed in the Microsoft Office Excel program and has the character of a depersonalized summary table, which consists of two blocks-sheets: patients of groups 1 and 2 &nbsp;and is structured according to the following sections: "Patient number"; "Patient code"; "Date of birth"; "Age of the patient"; section "Date of diagnosis of DM1" indicates the date of the official diagnosis of type 1 diabetes mellitus at the first hospitalization of the patient, this information is borrowed from medical information systems; section "Length of service DM1" reflects information about the duration of the patient's illness; the section "Date of the first visit" contains information about the date of the registrant's visit to the endocrinologist with the installation of FMS / CGM devices; the section "Frequency of self-monitoring with a glucometer" contains information about the frequency of measuring blood glucose levels by the patient at home using a glucometer until the establishment of FMS / CGM.</p><p>Sections "HbA1c initially (GMI)", "HbA1c (GMI)", "HbA1c final (GMI)", display the indicators of the level of glycated hemoglobin from the total for the period of the beginning of the study, at the intermediate stages of the study and at the end of observation.</p><p>The database structure has a number of sections accumulating information obtained with CGM/FMS, in particular: the section "Average glucose level"; the section "% above the target range", reflecting the percentage of the patient's stay with glycemia above the target indicators during the day; the section "% within the target range", reflecting the percentage of the patient's stay within the target glycemia indicators per day; the section "% below the target range", reflecting the percentage of the patient's stay with glycemia below the target indicators during the day; the section "Hypoglycemic phenomena", reflecting the number of cases of hypoglycemia in patients within 2 weeks; the section "Average duration", reflecting the average duration of hypoglycemic phenomena registered in the patient; the section "Sensor data received", indicating the percentage of time the patient was with an active device sensor; the section "Daily scans" show the frequency of scans of the patient's glycemic level (once a day); the section "%CV" displays the variability of the patient's glycemia recorded by the device. The listed sections are repeated in the database in accordance with the number of follow-up visit.</p><p>Also in the database there is a section "Mid. values", which contains indicators of the average values of patient data for all of the above sections, both in the first and in the second group of patients.</p><p>When working with the database, the use of filters (in the "Data" tab) containing the names of indicators allows you to enter information about new registrants in a convenient form or correct existing data, as well as sort and search for one or more specified indicators.</p><p>The electronic database allows you to systematize a large volume of results, distribute data into categories, search for any field or set of fields in the input format, systematize the selected array, makes it possible to directly use this data for statistical analysis, as well as to view and print information on specified conditions with the location of fields in a convenient sequence.</p>

restrictedcc-by-4.0Jun 2023View details →
zenodo24/100

Primary documentation on the scientific study of glycemic variability indicators in children and adolescents with diabetes mellitus type 1 diabetes

<p>The main purpose of creating an electronic database was to assess indicators of glycemic variability in adolescents and children diagnosed with diabetes mellitus type 1. The database presents the results of prospective, open, controlled, clinical study obtained over a period of one and a half years. Base data includes information on 307 patients (children and adolescents) aged 3 to 17 years inclusive. The observed patients were divided into two groups: Group 1 - patients diagnosed with type 1 diabetes mellitus and with diabetic complications, 152 people, Group 2 – patients diagnosed with type 1 diabetes mellitus and without diabetic complications, 155 people. All database registrants were assigned individual codes, which made it possible to exclude personal data (full name) from the database.</p><p>During the study, an analysis of carbohydrate metabolism was carried out with an assessment HbA1c (glycated hemoglobin), CGMS (continuous glucose monitoring), FMG (flash glucose monitoring) with face-to-face consultations with an endocrinologist and analysis of the data obtained. Obtained monitoring results were processed using a specialized variability calculator glycemia (EasyGV®, ver. 9), the following indicators and indices were calculated variability: average glycemic level (Mean), standard deviation (SD); index prolonged increase in glycemia (CONGA); glycemic lability index (LI); index risk of hypoglycemia (LBGI); hyperglycemia risk index (HBGI), average value overall risk (ADRR), average amplitude of glycemic fluctuations (MAGE); grade inter-day GV (MODD), rate of change in glycemia (MAG), J-index - indicator quality of glycemic control. The database is intended for entering, organizing, storing and displaying all of the above data.</p>

restrictedcc-by-4.0Jul 2023View details →
ClinicalTrials.gov24/100

Serum 1,25-dihydroxyvitamin D Levels in Type 2 Diabetes Mellitus Patients With Different Levels of Albuminuria

ClinicalTrials.gov study NCT01845870. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Phase 1 Study of BHT-3021 in Subjects With Type 1 Diabetes Mellitus

ClinicalTrials.gov study NCT00453375. IPD Sharing: Not stated. Countries: 3. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
ClinicalTrials.gov24/100

Rezpegaldesleukin (NKTR-358) in New Onset Type 1 Diabetes Mellitus

ClinicalTrials.gov study NCT07142252. IPD Sharing: YES. Countries: 1. Publications: 0.

controlledIPD-YESFeb 2026View details →
ClinicalTrials.gov24/100

A Study of LY3532226 in Participants With Type 1 Diabetes Mellitus

ClinicalTrials.gov study NCT05887999. IPD Sharing: NO. Countries: 1. Publications: 0.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov24/100

Safety and Pharmacokinetics (PK) of hOKT3g1 (Ala-Ala) in Type 1 Diabetes Mellitus (T1DM)

ClinicalTrials.gov study NCT00073255. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →

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Allen Brain Atlas

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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.

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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.

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OpenNeuro

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Last verified 2026-04-29Open record