Evidence map›Paper›PMID 27271189›Full record

ArticleDiabetes care2016

Systematic Population Screening, Using Biomarkers and Genetic Testing, Identifies 2.5% of the U.K. Pediatric Diabetes Population With Monogenic Diabetes.

Maggie Shepherd, Beverley Shields, Suzanne Hammersley, Michelle Hudson, Timothy J McDonald, Kevin Colclough, Richard A Oram, Bridget Knight, Christopher Hyde, Julian Cox and 10 more

Abstract read
In one paragraph

Article in Diabetes care, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 133 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
133citing papers in PubMed, 6 pooled it
–field-weighted citation impact
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

133 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Clinical and Genetic Characteristics ofJournal of diabetes research · 2021
    Pooled it
  6. Guideline
  7. Trial
  8. Monogenic diabetes in overweight and obese youth diagnosed with type 2 diabetes: the TODAY clinical trial.Genetics in medicine : official journal of the American College of Medical Genetics · 2018 · on this map
    Trial
  9. Review
  10. Review
  11. Review
  12. Population Prevalence, Penetrance, and Mortality for Genetically Confirmed MODY.The Journal of clinical endocrinology and metabolism · 2026
    Article
  13. Article
  14. The evolution of C-peptide's role in diabetes care.Current opinion in endocrinology, diabetes, and obesity · 2026
    Review
  15. Article
  16. Article
  17. Predicting diagnostic gene biomarkers associated with immune infiltration in patients with diabetes.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas · 2026
    Article
  18. Article
  19. Article
  20. Article

73 more citing papers are in PubMed but not listed here.

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

20 authors.

Maggie ShepherdInstitute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, U.K. m.h.shepherd@exeter.ac.uk.
Beverley ShieldsInstitute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, U.K.
Suzanne HammersleyExeter National Institute for Health Research Clinical Research Facility, Royal Devon and Exeter NHS Foundation Trust, Exeter, U.K.
Michelle HudsonExeter National Institute for Health Research Clinical Research Facility, Royal Devon and Exeter NHS Foundation Trust, Exeter, U.K.
Timothy J McDonaldInstitute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, U.K.
Kevin ColcloughMolecular Genetics Laboratory, Royal Devon and Exeter NHS Foundation Trust, Exeter, U.K.
Richard A OramInstitute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, U.K.
Bridget KnightExeter National Institute for Health Research Clinical Research Facility, Royal Devon and Exeter NHS Foundation Trust, Exeter, U.K.
Christopher HydeExeter Test Group, Institute of Health Research, University of Exeter Medical School, Exeter, U.K.
Julian CoxDepartment of Paediatrics, Northern Devon Healthcare NHS Trust, Barnstaple, U.K.
Katherine MallamDepartment of Paediatrics, Royal Cornwall Hospitals NHS Trust, Truro, U.K.
Christopher MoudiotisDepartment of Paediatrics, Royal Devon and Exeter NHS Foundation Trust, Exeter, U.K.
Rebecca SmithChildren & Young People's Outpatient Department, Plymouth Hospitals NHS Trust, Plymouth, U.K.
Barbara FraserDepartment of Paediatrics, South Devon Healthcare NHS Foundation Trust, Torquay, U.K.
Simon RobertsonDepartment of Paediatrics, Royal Cornwall Hospitals NHS Trust, Truro, U.K.
Stephen GreeneChild Health, School of Medicine, University of Dundee, Ninewells Hospital & Medical School, Dundee, Scotland, U.K.
Sian EllardInstitute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, U.K.
Ewan R PearsonDivision of Cardiovascular & Diabetes Medicine, School of Medicine, University of Dundee, Dundee, U.K.
Andrew T HattersleyInstitute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, U.K.
UNITED Team

Funding

Department of Health NIHR-HCS-P12-03-03Wellcome Trust 091985Wellcome Trust 098395Wellcome Trust 102820/Z/13/Z
6 · The paper itself

Abstract

objectiveMonogenic diabetes is rare but is an important diagnosis in pediatric diabetes clinics. These patients are often not identified as this relies on the recognition of key clinical features by an alert clinician. Biomarkers (islet autoantibodies and C-peptide) can assist in the exclusion of patients with type 1 diabetes and allow systematic testing that does not rely on clinical recognition. Our study aimed to establish the prevalence of monogenic diabetes in U.K. pediatric clinics using a systematic approach of biomarker screening and targeted genetic testing. RESEARCH DESIGN AND

methodsWe studied 808 patients (79.5% of the eligible population) <20 years of age with diabetes who were attending six pediatric clinics in South West England and Tayside, Scotland. Endogenous insulin production was measured using the urinary C-peptide creatinine ratio (UCPCR). C-peptide-positive patients (UCPCR ≥0.2 nmol/mmol) underwent islet autoantibody (GAD and IA2) testing, with patients who were autoantibody negative undergoing genetic testing for all 29 identified causes of monogenic diabetes.

resultsA total of 2.5% of patients (20 of 808 patients) (95% CI 1.6-3.9%) had monogenic diabetes (8 GCK, 5 HNF1A, 4 HNF4A, 1 HNF1B, 1 ABCC8, 1 INSR). The majority (17 of 20 patients) were managed without insulin treatment. A similar proportion of the population had type 2 diabetes (3.3%, 27 of 808 patients).

conclusionsThis large systematic study confirms a prevalence of 2.5% of patients with monogenic diabetes who were <20 years of age in six U.K. clinics. This figure suggests that ∼50% of the estimated 875 U.K. pediatric patients with monogenic diabetes have still not received a genetic diagnosis. This biomarker screening pathway is a practical approach that can be used to identify pediatric patients who are most appropriate for genetic testing.

Indexed as

AdolescentAntigens, CDAutoantibodiesBiomarkersChildChild, PreschoolC-PeptideDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2Diagnosis, DifferentialEnglandFemaleGenetic TestingGerminal Center KinasesHepatocyte Nuclear Factor 1-alphaHepatocyte Nuclear Factor 1-betaABCC8 protein, humanAntigens, CDAutoantibodiesBiomarkersC-PeptideGerminal Center KinasesHepatocyte Nuclear Factor 1-alphaHepatocyte Nuclear Factor 1-betaHepatocyte Nuclear Factor 4HNF1A protein, humanHNF1B protein, humanHNF4A protein, humanINSR protein, humanProtein Serine-Threonine KinasesReceptor, InsulinSulfonylurea Receptors

Identifiers

PMID27271189
PMCPMC5018394

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.