Evidence map›Paper›PMID 38169963›Full record

ReviewJournal of the Endocrine Society2023

Understanding Islet Autoantibodies in Prediction of Type 1 Diabetes.

Xiaofan Jia, Liping Yu

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Journal of the Endocrine Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07492550 (T1D WATCH Study, a Comprehensive Screening for Type 1 Diabetes Autoantibodies in Children), which is not on this map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
5.9field-weighted citation impact, top 3% 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.

NCT07492550 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

T1D WATCH Study, a Comprehensive Screening for Type 1 Diabetes Autoantibodies in Children: A Proactive Approach to Early Detection and Intervention

Typeobservational_patient_registrySponsorFabiana Sherine Ganem dos SantosRan2026 to 2027Enrolled2,200ConditionsDiabete Type 1
3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Type 1 Diabetes Mellitus Pathogenesis: Mechanisms, Early Diagnostic Strategies, and Emerging Therapeutic Approaches.Pathophysiology : the official journal of the International Society for Pathophysiology · 2026
    Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Review
  16. Immunological Disorders: Gradations and the Current Approach in Laboratory Diagnostics.Pathophysiology : the official journal of the International Society for Pathophysiology · 2025
    Review
  17. Review
  18. Review
  19. Review
  20. 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

2 authors at 1 institution in 1 country.

Xiaofan JiaBarbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO 80045, USA.ORCID https://orcid.org/0000-0002-2697-0174
Liping YuBarbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO 80045, USA.ORCID https://orcid.org/0000-0003-0664-2154
University of Colorado Denver · US

Funding

University of Colorado Anschutz Medical Campus DRCP30DK116073 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI LORI SUSSEL · 2020 to 2026
$10.8M
Multiple Autoantigens/Multiple Epitopes of Type 1DMR01DK032083 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI MICHELS, AARON W · 1986 to 2025
$6.9M
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 DK032083NIDDK NIH HHS R37 DK032083
6 · The paper itself

Abstract

As screening studies and preventive interventions for type 1 diabetes (T1D) advance rapidly, the utility of islet autoantibodies (IAbs) in T1D prediction comes with challenges for early and accurate disease progression prediction. Refining features of IAbs can provide more accurate risk assessment. The advances in islet autoantibodies assay techniques help to screen out islet autoantibodies with high efficiency and high disease specificity. Exploring new islet autoantibodies to neoepitopes/neoantigens remains a hot research field for improving prediction and disease pathogenesis. We will review the recent research progresses of islet autoantibodies to better understand the utility of islet autoantibodies in prediction of T1D.

Indexed as

antibody assayislet autoantibodypredictiontype 1 diabetes

Identifiers

PMID38169963
PMCPMC10758755
OpenAlexW4390517020

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.