Evidence map›Paper›PMID 35294086›Full record

ArticlePediatric diabetes2022

Increased referrals for congenital hyperinsulinism genetic testing in children with trisomy 21 reflects the high burden of non-genetic risk factors in this group.

Thomas I Hewat, Thomas W Laver, Jayne A L Houghton, Jonna M E Männistö, Sabah Alvi, Stephen P Brearey, Declan Cody, Antonia Dastamani, Miguel De Los Santos La Torre, Nuala Murphy and 6 more

Open access · hybridAbstract read
In one paragraph

Article in Pediatric diabetes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Syndromic forms of congenital hyperinsulinism.Frontiers in endocrinology · 2023
    Review
  5. 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

16 authors at 13 institutions in 5 countries.

Thomas I HewatInstitute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK.ORCID 0000-0002-5330-760X
Thomas W LaverInstitute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK.
Jayne A L HoughtonExeter Genomics Laboratory, Royal Devon and Exeter NHS Foundation Trust, Exeter, UK.
Jonna M E MännistöDepartment of Pediatrics, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland.
Sabah AlviLeeds Children's Hospital, Leeds, UK.
Stephen P BreareyCountess of Chester Hospital, Chester, UK.
Declan CodyChildren's Health Ireland at Crumlin, Dublin, Ireland.
Antonia DastamaniEndocrinology Department, Great Ormond Street Hospital for Children NHS Foundation Trust, London, UK.
Miguel De Los Santos La TorreDepartment of Endocrinology and Metabolism of the Instituto Nacional de Salud del Niño, Lima, Peru.ORCID 0000-0002-9176-2988
Nuala MurphyChildren's University Hospital, Dublin, Ireland.
Birgit Rami-MerharDepartment of Pediatric and Adolescent Medicine, Medical University of Vienna, Vienna, Austria.ORCID 0000-0001-5575-5222
Birgit WefersNinewells Hospital, Dundee, UK.
Hanna HuopioDepartment of Pediatrics, Kuopio University Hospital, Kuopio, Finland.
Indraneel BanerjeeDepartment of Paediatric Endocrinology, Royal Manchester Children's Hospital, Manchester, UK.
Matthew B JohnsonInstitute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK.
Sarah E FlanaganInstitute of Biomedical and Clinical Science, University of Exeter Medical School, Exeter, UK.ORCID 0000-0002-8670-6340
University of Exeter · GBChildren's Health Ireland at Crumlin · IEGreat Ormond Street Hospital for Children NHS Foundation Trust · GBInstituto Nacional de Salud del Niño · PEKuopio University Hospital · FILeeds Teaching Hospitals NHS Trust · GBMedical University of Vienna · ATNinewells Hospital · GBRoyal Devon & Exeter NHS Foundation Trust · GBRoyal Manchester Children's Hospital · GBTemple Street Children's University Hospital · IEUniversity of Eastern Finland · FIUniversity of Liverpool · GB

Funding

Wellcome TrustWellcome Trust 105636/Z/14/Z
6 · The paper itself

Abstract

backgroundHyperinsulinism results from inappropriate insulin secretion during hypoglycaemia. Down syndrome is causally linked to a number of endocrine disorders including Type 1 diabetes and neonatal diabetes. We noted a high number of individuals with Down syndrome referred for hyperinsulinism genetic testing, and therefore aimed to investigate whether the prevalence of Down syndrome was increased in our hyperinsulinism cohort compared to the population.

methodsWe identified individuals with Down syndrome referred for hyperinsulinism genetic testing to the Exeter Genomics Laboratory between 2008 and 2020. We sequenced the known hyperinsulinism genes in all individuals and investigated their clinical features.

resultsWe identified 11 individuals with Down syndrome in a cohort of 2011 patients referred for genetic testing for hyperinsulinism. This represents an increased prevalence compared to the population (2.5/2011 expected vs. 11/2011 observed, p = 6.8 × 10

conclusionsDown syndrome is more common in patients with hyperinsulinism than in the population. This is likely due to an increased burden of non-genetic risk factors resulting from the Down syndrome phenotype. Down syndrome should not preclude genetic testing as coincidental monogenic hyperinsulinism and Down syndrome is possible.

Indexed as

Congenital HyperinsulinismDown SyndromeGenetic TestingHumansMutationReferral and ConsultationRisk Factors

Identifiers

PMID35294086
PMCPMC9310623
OpenAlexW4220701942

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.