Evidence map›Paper›PMID 27799821›Full record

ArticleClinical epidemiology2016

Vejle Diabetes Biobank - a resource for studies of the etiologies of diabetes and its comorbidities.

Eva Rabing Brix Petersen, Aneta Aleksandra Nielsen, Henry Christensen, Torben Hansen, Oluf Pedersen, Cramer Kjeldahl Christensen, Ivan Brandslund

Open access · goldAbstract read
In one paragraph

Article in Clinical epidemiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.9field-weighted citation impact, top 14% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Evaluation of 32 rapid tests for detection of antibodies against SARS-CoV-2.Clinica chimica acta; international journal of clinical chemistry · 2021
    Article
  6. Article
  7. Article
  8. Article
  9. Serum vitamin KBMJ open diabetes research & care · 2020
    Article
  10. Review
  11. Article
  12. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Eva Rabing Brix PetersenDepartment of Clinical Immunology and Biochemistry, Lillebaelt Hospital, Vejle; Faculty of Health Sciences, Institute of Regional Health Research, University of Southern Denmark, Odense.
Aneta Aleksandra NielsenDepartment of Clinical Immunology and Biochemistry, Lillebaelt Hospital, Vejle.
Henry ChristensenDepartment of Clinical Immunology and Biochemistry, Lillebaelt Hospital, Vejle.
Torben HansenNovo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen.
Oluf PedersenNovo Nordisk Foundation Center for Basic Metabolic Research, Section of Metabolic Genetics, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen.
Cramer Kjeldahl ChristensenDepartment of Internal Medicine and Endocrinology, Lillebaelt Hospital, Vejle, Denmark.
Ivan BrandslundDepartment of Clinical Immunology and Biochemistry, Lillebaelt Hospital, Vejle; Faculty of Health Sciences, Institute of Regional Health Research, University of Southern Denmark, Odense.
Lillebaelt Hospital · DKNovo Nordisk Foundation · DKUniversity of Southern Denmark · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsCarefully designed and established biobanks are considered one of the most essential resources to foster biomedical research as they provide cost-effective and rapid access to a vast variety of biological materials and related anthropometrics allowing for testing of various biomarkers as well as numerous original and pertinent bioclinical hypotheses related to human disease etiology and prognosis. The objective of the present study was to present the baseline data, design, and methods used for the establishment of the Vejle Diabetes Biobank. Further aims included assessment of the prevalence of diabetes and quality of diabetes treatment in a specified Danish region.

methodsThe Vejle Diabetes Biobank was established from 2007 to 2010 as a regional Biobank containing blood, DNA, and urine samples from patients with diabetes and a gender- and age-matched control population aged 25-75 years. Anthropometrics were obtained by physical examination, questionnaires, and interviews at the time of inclusion into the Biobank. The cohort was linked to the Danish Civil Registration System, the Danish National Patient Registry, and the Danish National Prescription Registry.

resultsIn total, 4,255 nondiabetic individuals and 3,320 patients with diabetes were included. Type 2 diabetes (T2D) patients had a higher body mass index (30 kg/m

conclusionThe Vejle Diabetes Biobank represents one of the largest open diabetes case-control cohorts in Denmark. The Biobank invites collaborative investigations of diabetes and diabetes complication etiologies as well as studies of prognostic or predictive biomarkers.

Indexed as

diabetesdiabetes Biobank resourceHbA1cresearch databasetype 2 diabetes

Identifiers

PMID27799821
PMCPMC5085288
OpenAlexW2537290106

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.