Evidence map›Paper›PMID 36112006›Full record

ArticleDiabetes2022

Islet Autoantibody Levels Differentiate Progression Trajectories in Individuals With Presymptomatic Type 1 Diabetes.

Bum Chul Kwon, Peter Achenbach, Vibha Anand, Brigitte I Frohnert, William Hagopian, Jianying Hu, Eileen Koski, Åke Lernmark, Olivia Lou, Frank Martin and 3 more

Open access · greenAbstract read
In one paragraph

Article in Diabetes, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.3field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 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. Review
  3. Article
  4. Diabetes Study of Children of Diverse Ethnicity and Race: Study design.Diabetes/metabolism research and reviews · 2024
    Observational
  5. Article
  6. 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

13 authors at 7 institutions in 4 countries.

Bum Chul KwonCenter for Computational Health, IBM Research, Cambridge, MA.ORCID 0000-0002-9391-6274
Peter AchenbachInstitute of Diabetes Research, Helmholtz Zentrum München-German Research Center for Environmental Health, Munich-Neuherberg, Germany.ORCID 0000-0001-6720-2684
Vibha AnandCenter for Computational Health, IBM Research, Cambridge, MA.ORCID 0000-0001-8605-5712
Brigitte I FrohnertUniversity of Colorado, Denver, CO.ORCID 0000-0002-6636-4048
William HagopianPacific Northwest Research Institute, Seattle, WA.ORCID 0000-0003-2979-0475
Jianying HuCenter for Computational Health, IBM Research, Yorktown Heights, NY.
Eileen KoskiCenter for Computational Health, IBM Research, Yorktown Heights, NY.
Åke LernmarkDepartment of Clinical Sciences Malmö, Lund University CRC, Skåne University Hospital, Malmö, Sweden.ORCID 0000-0003-1735-0499
Olivia LouJDRF International, New York, NY.
Frank MartinJDRF International, New York, NY.
Kenney NgCenter for Computational Health, IBM Research, Cambridge, MA.ORCID 0000-0003-0792-070X
Jorma ToppariInstitute of Biomedicine and Centre for Population Health Research, University of Turku, and Department of Pediatrics, Turku University Hospital, Turku, Finland.
Riitta VeijolaMedical Research Center, PEDEGO Research Unit, Department of Pediatrics, University of Oulu and Oulu University Hospital, Oulu, Finland.
IBM (United States) · USHelmholtz Zentrum München · DELund University · SEOulu University Hospital · FIPacific Northwest Diabetes Research Institute · USUniversity of Colorado Denver · USUniversity of Turku · FI

Funding

University of Colorado Anschutz Medical Campus DRCP30DK116073 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI LORI SUSSEL · 2020 to 2026
$10.8M
Natural History of Pre-Diabetic Autoimmunity (DAISY)R01DK032493 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI REWERS, MARIAN J · 1986 to 2024
$9.3M
Natural History of Pre-diabetic Autoimmunity (DAISY)R37DK032493 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI REWERS, MARIAN J · 2001 to 2010
$8.0M
Multiple Autoantigens/Multiple Epitopes of Type 1DMR01DK032083 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI MICHELS, AARON W · 1986 to 2025
$6.9M
ISLET CELL MEMBRANE ANTIBODIES IN DIABTESR01DK026190 · NIDDK · UNIVERSITY OF WASHINGTON · PI HAMPE, CHRISTIANE S · 1986 to 2016
$4.9M
Nutrigenetics & -genomics of Vitamin D and Omega-3 Fatty Acids in Type 1 DiabetesR01DK104351 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI NORRIS, JILL M · 2014 to 2018
$2.9M
MULTIPLE AUTOANTIGENS OF PRETYPE I DMR37DK032083 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI EISENBARTH, GEORGE S · 1992 to 1999
–
NIDDK NIH HHS P30 DK116073NIDDK NIH HHS R01 DK026190NIDDK NIH HHS R01 DK032083NIDDK NIH HHS R01 DK032493NIDDK NIH HHS R01 DK104351NIDDK NIH HHS R37 DK032083NIDDK NIH HHS R37 DK032493
6 · The paper itself

Abstract

In our previous data-driven analysis of evolving patterns of islet autoantibodies (IAb) against insulin (IAA), GAD (GADA), and islet antigen 2 (IA-2A), we discovered three trajectories, characterized according to multiple IAb (TR1), IAA (TR2), or GADA (TR3) as the first appearing autoantibodies. Here we examined the evolution of IAb levels within these trajectories in 2,145 IAb-positive participants followed from early life and compared those who progressed to type 1 diabetes (n = 643) with those remaining undiagnosed (n = 1,502). With use of thresholds determined by 5-year diabetes risk, four levels were defined for each IAb and overlaid onto each visit. In diagnosed participants, high IAA levels were seen in TR1 and TR2 at ages <3 years, whereas IAA remained at lower levels in the undiagnosed. Proportions of dwell times (total duration of follow-up at a given level) at the four IAb levels differed between the diagnosed and undiagnosed for GADA and IA-2A in all three trajectories (P < 0.001), but for IAA dwell times differed only within TR2 (P < 0.05). Overall, undiagnosed participants more frequently had low IAb levels and later appearance of IAb than diagnosed participants. In conclusion, while it has long been appreciated that the number of autoantibodies is an important predictor of type 1 diabetes, consideration of autoantibody levels within the three autoimmune trajectories improved differentiation of IAb-positive children who progressed to type 1 diabetes from those who did not.

Indexed as

Diabetes Mellitus, Type 1Islets of LangerhansAutoantibodiesChildChild, PreschoolGlutamate DecarboxylaseHumansInsulinAutoantibodiesGlutamate DecarboxylaseInsulin

Identifiers

PMID36112006
PMCPMC9750947
OpenAlexW4296026434

What OpenQuestion holds

Textmetadata
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.