Evidence map›Paper›PMID 36082496›Full record

ArticlePediatric diabetes2022

HbA1c as a time predictive biomarker for an additional islet autoantibody and type 1 diabetes in seroconverted TEDDY children.

Falastin Salami, Roy Tamura, Lu You, Åke Lernmark, Helena Elding Larsson, Markus Lundgren, Jeffrey Krischer, Anette-Gabriele Ziegler, Jorma Toppari, Riitta Veijola 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 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
2.6field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Guideline
  2. Guideline
  3. Review
  4. Article
  5. Article
  6. Time to reframe the disease staging system for type 1 diabetes.The lancet. Diabetes & endocrinology · 2024
    Review
  7. Beyond Stages: Predicting Individual Time Dependent Risk for Type 1 Diabetes.The Journal of clinical endocrinology and metabolism · 2024
    Article
  8. Article
  9. Article
  10. 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 9 institutions in 4 countries.

Falastin SalamiDepartment of Clinical Sciences, Lund University/CRC, Skåne University Hospital, Malmö, Sweden.ORCID 0000-0002-0098-4287
Roy TamuraHealth Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA.
Lu YouHealth Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA.
Åke LernmarkDepartment of Clinical Sciences, Lund University/CRC, Skåne University Hospital, Malmö, Sweden.ORCID 0000-0003-1735-0499
Helena Elding LarssonDepartment of Clinical Sciences, Lund University/CRC, Skåne University Hospital, Malmö, Sweden.
Markus LundgrenDepartment of Clinical Sciences, Lund University/CRC, Skåne University Hospital, Malmö, Sweden.ORCID 0000-0001-6394-7689
Jeffrey KrischerHealth Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, Florida, USA.
Anette-Gabriele ZieglerHelmholtz Zentrum München, Institute of Diabetes Research, German Research Center for Environmental Health, Munich-Neuherberg, Germany.
Jorma ToppariDepartment of Pediatrics, Turku University Hospital, and Institute of Biomedicine, Research Centre for Integrative Physiology and Pharmacology, and Centre for Population Health Research, University of Turku, Turku, Finland.
Riitta VeijolaDepartment of Pediatrics, PEDEGO Research Unit, Medical Research Center, University of Oulu and Oulu University Hospital, Oulu, Finland.ORCID 0000-0002-6557-270X
Marian RewersBarbara Davis Center for Childhood Diabetes, University of Colorado, Aurora, Colorado, USA.
Michael J HallerDepartment of Pediatrics, College of Medicine, University of Florida Diabetes Institute, Gainesville, Florida, USA.ORCID 0000-0002-2803-1824
William HagopianDiabetes Programs Division, Pacific Northwest Research Institute, Seattle, Washington, USA.
Beena AkolkarDiabetes Branch, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, Maryland, USA.
Carina TörnDepartment of Clinical Sciences, Lund University/CRC, Skåne University Hospital, Malmö, Sweden.
TEDDY Study Group
Lund University · SEUniversity of South Florida · USNational Institute of Diabetes and Digestive and Kidney Diseases · USOulu University Hospital · FIPacific Northwest Diabetes Research Institute · USTUM Klinikum · DEUniversity of Colorado Health · USUniversity of Florida · USUniversity of Turku · FI

Funding

Limited Competition: Continued Follow-up of Subjects and Initiation of a Second Case-control Cohort in The Environmental Determinants of Diabetes in The Young Study (TEDDY)U01DK128847 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI JEFFREY P KRISCHER · 2021 to 2026
$79.2M
Data Coordinating Center (DCC)for the Consortium for Identification of EnvironmenUC4DK095300 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2011 to 2011
$56.0M
NIH Prior Approval Process ProfessionalUL1TR002535 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2018 to 2022
$51.1M
Data Coordinating CenterU01DK063790 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2002 to 2006
$50.1M
Follow-up on Subjects, Integrative Data Analysis and Measurement of Viral Antibodies in The Environmental Determinants of Diabetes in The Young Study (TEDDY)U01DK124166 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2020 to 2022
$31.1M
NIDDK Follow-up on Subjects and Immunological Assessments in The Environmental Determinants of Diabetes In The Young Study (TEDDY) (UC4)UC4DK117483 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2017 to 2020
$30.4M
Establish a Data Coordinating Center (DCC) for the Consortium for Identification UC4DK100238 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2014 to 2014
$28.9M
The Study of Epigenetics and Infections in The Environmental Determinants of Diabetes in the Young (TEDDY)UC4DK112243 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2016 to 2016
$27.0M
Data Coordinating Center (DCC) for the Consortium for Identification of Environmental Determinants of Diabetes in the Young (TEDDY) StudyUC4DK106955 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2015 to 2015
$20.0M
The Environmental Determinants of Diabetes in Young (TEDDY0U01DK063863 · NIDDK · HOSPITAL DISTRICT OF SOUTHWEST FINLAND · PI TOPPARI, JORMA · 2003 to 2022
$13.5M
The Environmental Triggers of Diabetes (TEDDY) in SwedenU01DK063861 · NIDDK · UNIVERSITY OF WASHINGTON · PI LERNMARK, AKE · 2003 to 2022
$13.4M
THE TEDDY STUDY - COLORADO CLINICAL CENTERU01DK063821 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI REWERS, MARIAN J · 2003 to 2022
$12.3M
NCATS NIH HHS UL1 TR000064NCATS NIH HHS UL1 TR002535NIDDK NIH HHS HHSN267200700014CNIDDK NIH HHS U01 DK063790NIDDK NIH HHS U01 DK063821NIDDK NIH HHS U01 DK063829NIDDK NIH HHS U01 DK063836NIDDK NIH HHS U01 DK063861NIDDK NIH HHS U01 DK063863NIDDK NIH HHS U01 DK063865NIDDK NIH HHS U01 DK124166NIDDK NIH HHS U01 DK128847NIDDK NIH HHS UC4 DK063821NIDDK NIH HHS UC4 DK063829NIDDK NIH HHS UC4 DK063836NIDDK NIH HHS UC4 DK063861NIDDK NIH HHS UC4 DK063863NIDDK NIH HHS UC4 DK063865NIDDK NIH HHS UC4 DK095300NIDDK NIH HHS UC4 DK100238NIDDK NIH HHS UC4 DK106955NIDDK NIH HHS UC4 DK112243NIDDK NIH HHS UC4 DK117483NLM NIH HHS HHSN267200700014C
6 · The paper itself

Abstract

objectiveIncreased level of glycated hemoglobin (HbA1c) is associated with type 1 diabetes onset that in turn is preceded by one to several autoantibodies against the pancreatic islet beta cell autoantigens; insulin (IA), glutamic acid decarboxylase (GAD), islet antigen-2 (IA-2) and zinc transporter 8 (ZnT8). The risk for type 1 diabetes diagnosis increases by autoantibody number. Biomarkers predicting the development of a second or a subsequent autoantibody and type 1 diabetes are needed to predict disease stages and improve secondary prevention trials. This study aimed to investigate whether HbA1c possibly predicts the progression from first to a subsequent autoantibody or type 1 diabetes in healthy children participating in the Environmental Determinants of Diabetes in the Young (TEDDY) study. RESEARCH DESIGN AND

methodsA joint model was designed to assess the association of longitudinal HbA1c levels with the development of first (insulin or GAD autoantibodies) to a second, second to third, third to fourth autoantibody or type 1 diabetes in healthy children prospectively followed from birth until 15 years of age.

resultsIt was found that increased levels of HbA1c were associated with a higher risk of type 1 diabetes (HR 1.82, 95% CI [1.57-2.10], p < 0.001) regardless of first appearing autoantibody, autoantibody number or type. A decrease in HbA1c levels was associated with the development of IA-2A as a second autoantibody following GADA (HR 0.85, 95% CI [0.75, 0.97], p = 0.017) and a fourth autoantibody following GADA, IAA and ZnT8A (HR 0.90, 95% CI [0.82, 0.99], p = 0.036). HbA1c trajectory analyses showed a significant increase of HbA1c over time (p < 0.001) and that the increase is more rapid as the number of autoantibodies increased from one to three (p < 0.001).

conclusionIn conclusion, increased HbA1c is a reliable time predictive marker for type 1 diabetes onset. The increased rate of increase of HbA1c from first to third autoantibody and the decrease in HbA1c predicting the development of IA-2A are novel findings proving the link between HbA1c and the appearance of autoantibodies.

Indexed as

Diabetes Mellitus, Type 1Glycated HemoglobinAutoantibodiesBiomarkersChildGlutamate DecarboxylaseHumansInsulinAutoantibodiesBiomarkersGlutamate DecarboxylaseGlycated HemoglobinInsulinchildrenGADAHbA1cIA-2AIAAislet autoantibodiestype 1 diabetesZnT8A

Identifiers

PMID36082496
PMCPMC9772117
OpenAlexW4295008870

What OpenQuestion holds

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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.