Evidence map›Paper›PMID 31286933›Full record

ArticleBMC medicine2019

Landmark models to define the age-adjusted risk of developing stage 1 type 1 diabetes across childhood and adolescence.

Verena Sophia Hoffmann, Andreas Weiß, Christiane Winkler, Annette Knopff, Manja Jolink, Ezio Bonifacio, Anette-G Ziegler

Open access · goldAbstract read
In one paragraph

Article in BMC medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 2 pooled it
1.6field-weighted citation impact, top 15% 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

13 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Impact of screening programmes for type 1 diabetes in youth: A systematic review and meta-analysis.Diabetic medicine : a journal of the British Diabetic Association · 2026
    Pooled it
  2. Guideline
  3. Article
  4. Are We Ready With Prevention for Type 1 Diabetes?Diabetes/metabolism research and reviews · 2025
    Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Supplementation withBMJ open · 2021
    Article
  10. Article
  11. Review
  12. Article
  13. Birth and coming of age of islet autoantibodies.Clinical and experimental immunology · 2019
    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

7 authors at 1 institution in 1 country.

Verena Sophia HoffmannInstitute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstr. 1, 85764, Munich-Neuherberg, Germany.
Andreas WeißInstitute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstr. 1, 85764, Munich-Neuherberg, Germany.
Christiane WinklerInstitute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstr. 1, 85764, Munich-Neuherberg, Germany.
Annette KnopffInstitute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstr. 1, 85764, Munich-Neuherberg, Germany.
Manja JolinkInstitute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstr. 1, 85764, Munich-Neuherberg, Germany.
Ezio BonifacioForschergruppe Diabetes e.V. at Helmholtz Zentrum München, German Research Center for Environmental Health, Munich-Neuherberg, Germany. ezio.bonifacio@tu-dresden.de.
Anette-G ZieglerInstitute of Diabetes Research, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstaedter Landstr. 1, 85764, Munich-Neuherberg, Germany. anette-g.ziegler@helmholtz-muenchen.de.
Helmholtz Zentrum München · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAutoimmune diseases are often preceded by an asymptomatic autoantibody-positive phase. In type 1 diabetes, the detection of autoantibodies to pancreatic islet antigens in genetically at-risk children is prognostic for future clinical diabetes. Testing for islet autoantibodies is, therefore, performed in a range of clinical studies. Accurate risk estimates that consider the a priori genetic risk and other risk modifiers are an important component of screening. The age of an individual is an under-appreciated risk modifier. The aim of this study was to provide age-adjusted risk estimates for the development of autoantibodies across childhood in genetically at-risk children.

methodsThe prospective BABYDIAB and BABYDIET studies included 2441 children from birth who had a first-degree relative with type 1 diabetes. Children were born between 1989 and 2006 and were regularly followed from birth for the development of islet autoantibodies and diabetes. A landmark analysis was performed to estimate the risk of islet autoantibodies at birth and at the age 3.5, 6.5 and 12.5 years. Exponential decay curves were fitted for the risk by the age of 20 years.

resultsThe risk of islet autoantibodies by the age of 20 years was 8%, 4.6%, 2.6% and 0.9%, at the landmark ages of birth, 3.5, 6.5 and 12.5 years, respectively. The short-term risks (within 6 years of follow-up) at these landmark ages were 5.3%, 2.9%, 1.8% and 1%, respectively. The decline in autoantibody risk with age was modelled using a one-phase exponential decay curve (r = 0.99) with a risk half-life of 3.7 years. This risk decay model was remarkably consistent when the outcome was defined as islet autoantibody-positive or multiple islet autoantibody-positive and when the study cohort was stratified by HLA risk genotype. A similar decay model was observed for coeliac disease-associated transglutaminase antibodies in the same cohort. Unlike the risk of developing islet autoantibodies, the rate of developing clinical diabetes in children who were islet autoantibody-positive did not decline with age.

conclusionThe risk of developing autoantibodies drops exponentially with age in children with a first-degree relative with type 1 diabetes.

Indexed as

Age FactorsChildChild, PreschoolCohort StudiesDiabetes Mellitus, Type 1FemaleHumansInfantInfant, NewbornMaleNeoplasm StagingProspective StudiesAutoimmunityIslet autoantibodiesLandmark riskType 1 diabetes

Identifiers

PMID31286933
PMCPMC6615150
OpenAlexW2956472870

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.