Evidence mapPaperPMID 40988096Full record

GuidelineDiabetic medicine : a journal of the British Diabetic Association2025

UK best practice recommendations for children and young people <18 years with pre-stage 3 type 1 diabetes, on behalf of the British Society for Paediatric Endocrinology and Diabetes (BSPED).

Rachel E J Besser, Fiona Campbell, Katharine Damazer, Daniela Elleri, Kathleen M Gillespie, Clare Hambling, Rebecca Martin, Fulya Mehta, Sarinda Millar, Pooja Sachdev and 5 more

Abstract readPractice GuidelineReview
In one paragraph

Guideline in Diabetic medicine : a journal of the British Diabetic Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Guideline
  2. Guideline
  3. Review
  4. Article
  5. Article
  6. Review
  7. 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

15 authors.

Rachel E J BesserCentre for Human Genetics, Nuffield Department of Medicine, NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0002-4645-6324
Fiona CampbellChildren's Diabetes Centre, Leeds Children's Hospital, Leeds, UK.
Katharine DamazerOxford University Hospital, Children's Psychological Medicine, Oxford, UK.
Daniela ElleriRoyal Hospital for Children and Young People, Edinburgh, UK.
Kathleen M GillespieDiabetes and Metabolism, Bristol Medical School University of Bristol, Bristol, UK.ORCID https://orcid.org/0000-0002-3009-8032
Clare HamblingBridge Street Surgery, Norfolk, UK.ORCID https://orcid.org/0000-0001-5851-6307
Rebecca MartinUniversity College London Hospitals NHS Foundation Trust, London, UK.
Fulya MehtaDepartment of Paediatric Endocrinology & Diabetes, Alder Hey Children's NHS Foundation Trust, Liverpool, UK.
Sarinda MillarSouthern Health and Social Care Trust, Portadown, Northern Ireland, UK.
Pooja SachdevSchool of Medicine, University of Nottingham, Nottingham, UK.
Tracy SavoryPPI Representative and PPI Chair, UK Islet Autoantibody Registry, Oxford, UK.
Ambika ShettyNoah's Ark Children's Hospital for Wales, Cardiff and Vale University Health Board, Cardiff, UK.
Rabbi SwabyCentre for Human Genetics, Nuffield Department of Medicine, NIHR Oxford Biomedical Research Centre, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0001-5815-7279
Tabitha RandellNottingham Children's Hospital, Nottingham University Hospitals NHS Trust, Nottingham, UK.
BSPED

Funding

NIHR Oxford Biomedical Research CentreNovo Nordisk UK Research Foundation
6 · The paper itself

Abstract

Screening for childhood type 1 diabetes (T1D) is increasing worldwide. Historically, screening has been undertaken through research programmes, but increasingly in the UK, children and young people are also being tested in clinical care. This identifies children before the onset of clinical disease through measurement of four islet autoantibodies (IAb): anti-glutamic acid decarboxylase; anti-insulin; anti-IA2 tyrosine phosphatase; and anti-zinc transporter-8. Otherwise well individuals confirmed to have ≥2 IAb have early-stage T1D, meaning that they are in the pre-symptomatic phase of the disease. This is categorised into stages, where stage 1 indicates ≥2 IAb and normoglycaemia, and stage 2 the presence of ≥2 IAb and dysglycaemia. Stage 3 T1D indicates that the diagnostic threshold for T1D has been reached, which may occur with or without symptoms of diabetes. The goal of screening and monitoring programmes is to reduce the adverse clinical consequences of diabetic ketoacidosis at diagnosis and to identify children who may benefit from disease-modifying therapies to delay or reverse progression to insulin requirement. Additional benefits include avoiding hospitalisation and preparation for the 'softer landing' into T1D. To seek these benefits, children should be monitored; yet many individuals decline follow-up in a research context. We therefore describe a pathway suitable for children identified from both screening programmes and clinical care settings. The pathway consists of 5 themes (IAb confirmation, monitoring of individuals in early-stage T1D, starting insulin, monitoring in single IAb positivity, and audit standards against which the pathway can be assessed during implementation).

Indexed as

Diabetes Mellitus, Type 1AdolescentAutoantibodiesChildChild, PreschoolDiabetic KetoacidosisEndocrinologyHumansMass ScreeningSocieties, MedicalUnited KingdomAutoantibodiesdiabetic ketoacidosismonitoringpreclinicalscreeningtype 1 diabetes

Identifiers

PMID40988096
PMCPMC12535356

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.