Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
1,545
datasets available to search
ShareScore release 0.9.0
Dataset results
1,545 results for “type 2 diabetes mellitus”
Fetal exposure to the Ukraine famine of 1932-1933 and adult Type 2 Diabetes Mellitus (Public data and analytical code)
<p><strong>Abstract</strong></p> <p>The short-term impact of famines on death and disease is well documented but it is difficult to estimate their potential long-term impact. We used the setting of the man-made Ukrainian Holodomor famine of 1932-1933 to examine the relationship between prenatal famine and adult Type 2 diabetes mellitus (T2DM). This ecological study included 128,225 T2DM cases diagnosed between 2000-2008 among 10,186,016 male and female Ukrainians born between 1930 and 1938. Individuals who were born in the first half-year of 1934, and hence exposed in early gestation to the mid-1933 peak famine period, had a larger than two-fold likelihood of T2DM (OR 2.21; 95% CI 2.00-2.45) compared to unexposed controls. There was a dose-response relationship between severity of famine exposure and adult T2DM risk comparing individuals born in regions with severe, very severe, and extreme famine to births in the no-famine region.</p> <p> </p> <p><strong>Description of the data and analytical code</strong></p> <p>In exploratory analyses we first examined whether the odds for T2DM were elevated for any month of birth in the period January 1930 to December 1938 in any of the four regions of varying famine intensity. This was achieved by comparing, within each region, the T2DM odds for births in any month and year of birth relative to the T2DM odds for births in the same month combining all other years of birth. The analysis served to identify potential relations of famine with specific months and years of birth, controlling for month of birth effects. We observed increased T2DM odds ratios for births between January and June 1934 in famine-exposed oblasts, with smaller increases for births in 1935 and 1936 in these months. Our findings suggested that in multivariate modelling statistical control for month of birth effects could be accomplished by adjusting for the January-June period. Our findings are presented in the data file '01 Odds Ratio for T2DM Over Time' and show the odds ratios (ORs) for Type 2 Diabetes Mellitus (T2DM) comparing the region-specific T2DM odds for each birth year and month relative to births in the same months but combining all other years of birth. The R syntax file '01 Odds of T2DM Over Time Figure' provides the code necessary to reproduce the figure.</p> <p> </p> <p>For confirmatory analyses we employed a Difference-in-Differences approach to quantify associations between prenatal exposure to famine and T2DM, taking into account year of birth, half-year of birth (Jan-Jun vs Jul-Dec), region, and their interactions. This analysis was conducted initially for each gender separately and then for both genders combined, adjusting for We carried out sensitivity analyses to assess potential changes in T2DM odds arising from the use of pre-famine births vs post-famine births as controls. Our findings are presented in the data file '02 Ukraine Famine 1932-33 Main Data'. Information on the number of T2DM cases by gender, region of residence, and year and month of birth 1930-1938 in Ukraine was collected by the national Ukraine Diabetes Register (Komisarenko Institute of Endocrinology and Metabolism, Kyiv) between 2000-2008. The number of births in the same subgroups, representing the populations at risk for T2DM, was estimated by demographic population reconstruction methods as reported in the publication. We classified the birth counts by year of birth, the semi-annual birth period (January-June vs. July-December), region of birth, and gender. The SPSS syntax file titled '02 Ukraine Famine 1932-33 Main Analysis' provides the code to replicate our main findings as presented in the publication.</p> <p> </p> <p>In a separate analysis we visualized by a meta-regression approach the relation between famine intensity at the oblast level in 1933 and the odds for adult T2DM. The data required for the replication of our findings are included in the file '03 Odds Ratio for T2DM and Famine Intensity at Oblast Level'. The R syntax file titled '03 Ukraine Famine 1932-33 Meta-regression' provides details on conducting the meta-regression using the R package ‘metafor’.</p> <p> </p> <p><strong>Funding</strong></p> <p>Ukraine State complex program Diabetes Mellitus, project number 0106U000844 (M.K.). Holodomor Research and Education Consortium in Canada (L.H.L., O.W.). NIDI-NIAS Fellowship of the Royal Netherlands Academy of Sciences (L.H.L.). National Institute of Aging R01 AG028593 (L.H.L.). National Institute of Aging R01 AG06687 (L.H.L.).</p> <p> </p> <p><strong>Sharing/Access information</strong></p> <p>Data sharing and use are unrestricted with acknowledgement of the original publication and listing of the funding sources as per the above. Researchers are encouraged to contact the Principal Investigators (PIs) for consultations on data structure and use as needed (L.H. Lumey, <a href="mailto:lumey@columbia.edu">lumey@columbia.edu</a>; Oleh Wolowyna, <a href="mailto:olehw@aol.com">olehw@aol.com</a>).</p>
Cessation of anti-diabetic medications by 'Daily 2-Only Meals-and- Exercise' lifestyle modification and remission of Type-2 Diabetes Mellitus
<p>This is the dataset describing details of the patient's age, gender, weight, waist circumference, HBA1C levels and Fasting Insulin levels from the date of enrolment in the study and subsequent changes at monthly intervals. </p>
ADIPOQ Gene Variants (rs266729, rs2241766, rs1501299) and Acute Myocardial Infarction in Vietnamese Patients with Type 2 Diabetes Mellitus
<p>This data is from a study project about ADIPOQ Gene Variants (rs266729, rs2241766, rs1501299) and Acute Myocardial Infarction in Vietnamese Patients with Type 2 Diabetes Mellitus. The data contains information from 550 patients with their identification removed to ensure confidentiality.</p>
Dataset Validation of seven type 2 diabetes mellitus risk scores in a population-based cohort. The CoLaus Study
<p>This dataset is related to "Validation of seven type 2 diabetes mellitus risk scores in a population-based cohort. The CoLaus Study".</p> <p>Vanessa Kraege*, Janko Fabecic*, Pedro Marques Vidal, Gérard Waeber and Marie Méan</p> <p>*Contributed equally; co-first authors</p>
The short-term cost-effectiveness of once-weekly semaglutide versus once-weekly dulaglutide for the treatment of type 2 diabetes mellitus in Colombian adults
<p>Dataset used for the study titled "A relative cost of control analyses of once weekly semaglutide versus dulaglutide for the treatment of type 2 diabetes mellitus in Colombian adults"</p>
Comparison of a New Formulation of Insulin Glargine With Lantus in Patients With Type 2 Diabetes Mellitus on Basal Plus Mealtime Insulin
ClinicalTrials.gov study NCT01499082. IPD Sharing: YES. Countries: 13. Publications: 3.
Assessment of Glycemic Control in Patients With Type 2 Diabetes Mellitus and Late Stage Chronic Kidney Disease
ClinicalTrials.gov study NCT03383627. IPD Sharing: NO. Countries: 1. Publications: 4.
A Study to Assess the Safety and Efficacy of SAR425899 in Patients With Type 2 Diabetes Mellitus
ClinicalTrials.gov study NCT02973321. IPD Sharing: YES. Countries: 8. Publications: 2.
VERIFY:A Study to Compare Combination Regimen With Vildagliptin & Metformin Versus Metformin in Treatment-naïve Patients With Type 2 Diabetes Mellitus
ClinicalTrials.gov study NCT01528254. IPD Sharing: YES. Countries: 34. Publications: 5.
Evaluation of comparative efficacy of Babool Vati versus Tablet Metformin in the Management of Type 2 Diabetes Mellitus (Prameha)- a randomized controlled trial protocol
Open the record for dataset details and reuse information.
Medicinal properties of Morus alba for the control of type 2 diabetes mellitus: a systematic review
<p><strong>Background:</strong> the objective of this review was to evaluate the medicinal potential of <em>Morus alba</em> leaves on the control of Type 2 Diabetes Mellitus (DM2). Research question: what is the medicinal potential of <em>Morus alba</em> leaves in the control of DM2? <strong>Methods:</strong> It was based on the PRISMA Declaration. The included studies were extracted from Scopus, Pubmed, ScienceDirect, Scielo, and Google Scholar; January 2015 to July 2021, Key search terms were MeSH and DeCS: <em>Morus alba</em>, mulberry, hypoglycemic agent. The inclusion criteria were: studies in rats administered <em>Morus alba</em> leaf extracts; studies that included the dimensions of lipidemia and glycemia; studies that included indicators such as fasting glucose, postprandial glucose, glycosylated hemoglobin, triglycerides, low-density lipoproteins, total cholesterol, and insulin resistance. Exclusion criteria: studies in which <em>Morus alba</em> leaves were administered with other plants; studies with other parts of the <em>Morus alba</em> plant; proteomic studies, cancer, duplicate studies, in vitro studies, and evaluation of included studies. All included investigations were evaluated for biases. <strong>Results:</strong> The extracts of <em>Morus alba</em> leaves at the phytochemical level improve glucose uptake. Chlorogenic acid, isoquercitrin, and quercitrin, present in the leaves of <em>Morus alba</em> have hypoglycemic properties and an ameliorating effect on diabetic nephropathy. This leaf has pharmacological effects such as glucose absorption, insulin secretion production, antioxidant and anti-inflammatory agent, antihyperglycemic and antihyperlipidemic activities, and obesity management. <strong>Conclusions:</strong> <em>Morus alba</em> leaves have pharmacological effects on DM2 that include glucose absorption, production of insulin secretion, antioxidant agent, antihyperglycemic and antihyperlipidemic activities, and obesity control. Beyond these results, there is a lack of studies on the potential and synergistic effects of the components of <em>Morus alba</em> leaves, which limit the possibility of a more effective therapy using the leaves of the plant.</p>
A Study to Evaluate the Effect of Long-term Treatment With BELVIQ (Lorcaserin HCl) on the Incidence of Major Adverse Cardiovascular Events and Conversion to Type 2 Diabetes Mellitus in Obese and Overw
ClinicalTrials.gov study NCT02019264. IPD Sharing: Not stated. Countries: 8. Publications: 4.
Prevalence of Non-alcoholic Fatty Liver Disease (NAFLD) in Hispanics With Diabetes Mellitus Type 2 (T2DM) and Role of Treatment
ClinicalTrials.gov study NCT01002547. IPD Sharing: NO. Countries: 1. Publications: 1.
A Study to Evaluate the Glycemic Effects, Safety, and Tolerability of Exenatide Once Weekly in Subjects With Type 2 Diabetes Mellitus (DURATION-5)
ClinicalTrials.gov study NCT00877890. IPD Sharing: Not stated. Countries: 1. Publications: 5.
Feasibility Study on the Impact of Economic Incentives to Improve the Management of Type 2 Diabetes Mellitus
ClinicalTrials.gov study NCT02891382. IPD Sharing: YES. Countries: 1. Publications: 2.
Effects of Dapagliflozin 10 mg on Insulin Resistance in Patients With Type 2 Diabetes Mellitus
ClinicalTrials.gov study NCT02426541. IPD Sharing: Not stated. Countries: 1. Publications: 1.
An Exploratory Study of the Effects of Trelagliptin and Alogliptin on Glucose Variability in Patients With Type 2 Diabetes Mellitus
ClinicalTrials.gov study NCT02771093. IPD Sharing: Not stated. Countries: 1. Publications: 1.
A Study of LY900014 in Participants With Type 2 Diabetes Mellitus
ClinicalTrials.gov study NCT03305822. IPD Sharing: Not stated. Countries: 1. Publications: 2.
A Trial Comparing the Efficacy and Safety of Insulin Degludec and Insulin Glargine 300 Units/mL in Subjects With Type 2 Diabetes Mellitus Inadequately Treated With Basal Insulin With or Without Oral A
ClinicalTrials.gov study NCT03078478. IPD Sharing: YES. Countries: 12. Publications: 3.
A Study to Investigate the Efficacy and Safety of Canagliflozin in Children and Adolescents (>=10 to <18 Years) With Type 2 Diabetes Mellitus
ClinicalTrials.gov study NCT03170518. IPD Sharing: Not stated. Countries: 10. Publications: 1.
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.