Evidence map›Paper›PMID 24695864›Full record

ArticleDiabetologia2014

Discovery of biomarkers for glycaemic deterioration before and after the onset of type 2 diabetes: rationale and design of the epidemiological studies within the IMI DIRECT Consortium.

Robert W Koivula, Alison Heggie, Anna Barnett, Henna Cederberg, Tue H Hansen, Anitra D Koopman, Martin Ridderstråle, Femke Rutters, Henrik Vestergaard, Ramneek Gupta and 24 more

Registry-linked trialOpen access · hybridAbstract read
In one paragraph

Article in Diabetologia, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03814915 (DIabetes REsearCh on Patient straTification), which is not on this map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 17% 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.

NCT03814915 completednot on this map

DIabetes REsearCh on Patient straTification

TypeobservationalSponsorLund UniversityRan2012 to 2019Enrolled3,049ConditionsType2 Diabetes
3 · Its place in the literature

Who cites it

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 64 citations in OpenAlex.

  1. Genome-Wide Association Analysis of Pancreatic Beta-Cell Glucose Sensitivity.The Journal of clinical endocrinology and metabolism · 2021
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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

34 authors at 18 institutions in 8 countries.

Robert W KoivulaDepartment of Clinical Sciences, Lund University, Genetic and Molecular Epidemiology, CRC, Skåne University Hospital Malmö, Building 91, Level 10, Jan Waldenströms gata 35, SE-205 02, Malmö, Sweden.
Alison Heggie
Anna Barnett
Henna Cederberg
Tue H Hansen
Anitra D Koopman
Martin Ridderstråle
Femke Rutters
Henrik Vestergaard
Ramneek Gupta
Sanna Herrgård
Martijn W Heymans
Mandy H Perry
Simone Rauh
Maritta Siloaho
Harriet J A Teare
Barbara Thorand
Jimmy Bell
Søren Brunak
Gary Frost
Bernd Jablonka
Andrea Mari
Tim J McDonald
Jacqueline M Dekker
Torben Hansen
Andrew Hattersley
Markku Laakso
Oluf Pedersen
Veikko Koivisto
Hartmut Ruetten
Mark Walker
Ewan Pearson
Paul W Franks
DIRECT Consortium
Amsterdam Public Health · NLTechnical University of Denmark · DKUniversity of Copenhagen · DKUniversity of Eastern Finland · FIUniversity of Exeter · GBNewcastle University · GBSanofi (Germany) · DEUniversity of Dundee · GBAmsterdam UMC Location Vrije Universiteit Amsterdam · NLHammersmith Hospital · GBHarvard University · USHelmholtz Zentrum München · DEImperial College London · GBLund University · SENational Research Council · ITSteno Diabetes Centers · DKUniversity of Oxford · GBUniversity of Southern Denmark · DK

Funding

Medical Research Council MC_U120061305
6 · The paper itself

Abstract

aims/hypothesisThe DIRECT (Diabetes Research on Patient Stratification) Study is part of a European Union Framework 7 Innovative Medicines Initiative project, a joint undertaking between four industry and 21 academic partners throughout Europe. The Consortium aims to discover and validate biomarkers that: (1) predict the rate of glycaemic deterioration before and after type 2 diabetes onset; (2) predict the response to diabetes therapies; and (3) help stratify type 2 diabetes into clearly definable disease subclasses that can be treated more effectively than without stratification. This paper describes two new prospective cohort studies conducted as part of DIRECT.

methodsPrediabetic participants (target sample size 2,200-2,700) and patients with newly diagnosed type 2 diabetes (target sample size ~1,000) are undergoing detailed metabolic phenotyping at baseline and 18 months and 36 months later. Abdominal, pancreatic and liver fat is assessed using MRI. Insulin secretion and action are assessed using frequently sampled OGTTs in non-diabetic participants, and frequently sampled mixed-meal tolerance tests in patients with type 2 diabetes. Biosamples include venous blood, faeces, urine and nail clippings, which, among other biochemical analyses, will be characterised at genetic, transcriptomic, metabolomic, proteomic and metagenomic levels. Lifestyle is assessed using high-resolution triaxial accelerometry, 24 h diet record, and food habit questionnaires. CONCLUSIONS/

interpretationDIRECT will yield an unprecedented array of biomaterials and data. This resource, available through managed access to scientists within and outside the Consortium, will facilitate the development of new treatments and therapeutic strategies for the prevention and management of type 2 diabetes.

Indexed as

AdultAgedBiomarkersBlood GlucoseDiabetes Mellitus, Type 2Epidemiologic StudiesFemaleHumansHypoglycemic AgentsMaleMiddle AgedPregnancyProspective StudiesBiomarkersBlood GlucoseHypoglycemic Agents

Identifiers

PMID24695864
PMCPMC4018481
OpenAlexW2138940436

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.