Evidence map›Paper›PMID 30352895›Full record

ArticleDiabetes care2019

A Type 1 Diabetes Genetic Risk Score Can Identify Patients With GAD65 Autoantibody-Positive Type 2 Diabetes Who Rapidly Progress to Insulin Therapy.

Anita L Grubb, Timothy J McDonald, Femke Rutters, Louise A Donnelly, Andrew T Hattersley, Richard A Oram, Colin N A Palmer, Amber A van der Heijden, Fiona Carr, Petra J M Elders and 6 more

Open access · bronzeAbstract read
In one paragraph

Article in Diabetes care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 6% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Review
  6. Actionability of Genetic Variants in Diabetes: Core Aspects and Applied Examples.Diabetes spectrum : a publication of the American Diabetes Association · 2025
    Article
  7. Article
  8. Article
  9. Diabetes Study of Children of Diverse Ethnicity and Race: Study design.Diabetes/metabolism research and reviews · 2024
    Observational
  10. Article
  11. Review
  12. Article
  13. Review
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  15. Review
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  18. Latent autoimmune diabetes in adults in China.Frontiers in immunology · 2022
    Review
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  20. Review
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

16 authors at 5 institutions in 2 countries.

Anita L GrubbNational Institute for Health Research Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, U.K.
Timothy J McDonaldNational Institute for Health Research Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, U.K.ORCID 0000-0003-3559-6660
Femke RuttersDepartment of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, the Netherlands.
Louise A DonnellyDivision of Molecular and Clinical Medicine, School of Medicine, University of Dundee, Ninewells Hospital and Medical School, Dundee, U.K.
Andrew T HattersleyNational Institute for Health Research Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, U.K.ORCID 0000-0001-5620-473X
Richard A OramNational Institute for Health Research Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, U.K.ORCID 0000-0003-3581-8980
Colin N A PalmerDivision of Molecular and Clinical Medicine, School of Medicine, University of Dundee, Ninewells Hospital and Medical School, Dundee, U.K.
Amber A van der HeijdenDepartment of General Practice and Elderly Care Medicine, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, the Netherlands.
Fiona CarrDivision of Molecular and Clinical Medicine, School of Medicine, University of Dundee, Ninewells Hospital and Medical School, Dundee, U.K.
Petra J M EldersDepartment of General Practice and Elderly Care Medicine, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, the Netherlands.
Mike N WeedonNational Institute for Health Research Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, U.K.
Roderick C SliekerDepartment of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, the Netherlands.ORCID 0000-0003-0961-9152
Leen M 't HartDepartment of Epidemiology and Biostatistics, Amsterdam Public Health Research Institute, VU University Medical Center, Amsterdam, the Netherlands.
Ewan R PearsonDivision of Molecular and Clinical Medicine, School of Medicine, University of Dundee, Ninewells Hospital and Medical School, Dundee, U.K.
Beverley M ShieldsNational Institute for Health Research Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, U.K.ORCID 0000-0003-3785-327X
Angus G JonesNational Institute for Health Research Exeter Clinical Research Facility, University of Exeter Medical School, Exeter, U.K. angus.jones@exeter.ac.uk.ORCID 0000-0002-0883-7599
Ninewells Hospital · GBRoyal Devon & Exeter NHS Foundation Trust · GBAmsterdam UMC Location Vrije Universiteit Amsterdam · NLNIHR Exeter Clinical Research Facility · GBLeiden University Medical Center · NL

Funding

Department of Health DRF-2010-03-72Department of Health ICA-SCL-2016-02-003Medical Research Council MC_PC_15047Medical Research Council MR/N00633XMedical Research Council MR/N00633X/1Wellcome Trust 084727/Z/08/ZWellcome Trust 085475Wellcome Trust 085475/B/08/ZWellcome Trust 085475/Z/08/ZWellcome Trust 102820/Z/13/Z
6 · The paper itself

Abstract

objectiveProgression to insulin therapy in clinically diagnosed type 2 diabetes is highly variable. GAD65 autoantibodies (GADA) are associated with faster progression, but their predictive value is limited. We aimed to determine if a type 1 diabetes genetic risk score (T1D GRS) could predict rapid progression to insulin treatment over and above GADA testing. RESEARCH DESIGN AND

methodsWe examined the relationship between T1D GRS, GADA (negative or positive), and rapid insulin requirement (within 5 years) using Kaplan-Meier survival analysis and Cox regression in 8,608 participants with clinical type 2 diabetes (onset >35 years and treated without insulin for ≥6 months). T1D GRS was both analyzed continuously (as standardized scores) and categorized based on previously reported centiles of a population with type 1 diabetes (<5th [low], 5th-50th [medium], and >50th [high]).

resultsIn GADA-positive participants (3.3%), those with higher T1D GRS progressed to insulin more quickly: probability of insulin requirement at 5 years (95% CI): 47.9% (35.0%, 62.78%) (high T1D GRS) vs. 27.6% (20.5%, 36.5%) (medium T1D GRS) vs. 17.6% (11.2%, 27.2%) (low T1D GRS);

conclusionsA T1D GRS alters the clinical implications of a positive GADA test in patients with clinical type 2 diabetes and is independent of and additive to clinical features.

Indexed as

AdultAgedAged, 80 and overAutoantibodiesCohort StudiesDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2Disease ProgressionFemaleGenetic Predisposition to DiseaseGlutamate DecarboxylaseHumansInsulinMaleMiddle AgedPrognosisAutoantibodiesGlutamate Decarboxylaseglutamate decarboxylase 2Insulin

Identifiers

PMID30352895
PMCPMC6828553
OpenAlexW2896006385

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.