Evidence map›Paper›PMID 40063422›Full record

ArticleDiabetes2025

Comparative Analysis of the Sensitivity, Specificity, Concordance, and 5-Year Predictive Power of Diabetes-Related Autoantibody Assays.

Jeffrey P Krischer, Sarah Muller, Lu You, Peter Achenbach, Elena Bazzigaluppi, Cristina Brigatti, Vito Lampasona, Anu Mathew, Peter Robinson, David Seftel and 5 more

Abstract readComparative Study
In one paragraph

Article in Diabetes, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors.

Jeffrey P KrischerHealth Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL.ORCID 0000-0003-4526-888X
Sarah MullerHealth Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL.
Lu YouHealth Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL.
Peter AchenbachInstitute of Diabetes Research, Helmholtz Zentrum München-German Research Center for Environmental Health, Munich, Germany.ORCID 0000-0001-6720-2684
Elena BazzigaluppiDiabetes Research Institute, Institute of Scientific Hospitalization and Care (IRCCS) Ospedale San Raffaele, Milan, Italy.
Cristina BrigattiDiabetes Research Institute, Institute of Scientific Hospitalization and Care (IRCCS) Ospedale San Raffaele, Milan, Italy.
Vito LampasonaDiabetes Research Institute, Institute of Scientific Hospitalization and Care (IRCCS) Ospedale San Raffaele, Milan, Italy.
Anu MathewMeso Scale Diagnostics, LLC, Rockville, MD.
Peter RobinsonEnable Biosciences, South San Francisco, CA.
David SeftelEnable Biosciences, South San Francisco, CA.
George SigalMeso Scale Diagnostics, LLC, Rockville, MD.
Cheng-Ting TsaiEnable Biosciences, South San Francisco, CA.ORCID 0000-0002-8718-8821
Mingyue WangMeso Scale Diagnostics, LLC, Rockville, MD.
Liping YuBarbara Davis Center for Diabetes, University of Colorado School of Medicine, Aurora, CO.
Type 1 Diabetes TrialNet Study Group

Funding

Revision to the Coordinating Center for Type 1 Diabetes TrialNetU01DK106993 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI JEFFREY P KRISCHER, SAMUEL S WU · 2019 to 2026
$181.3M
Data Coordinating Center for Type 1 Diabetes TrialNet (UC4)USF: TrialNet UC4-3UC4DK117009 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2017 to 2019
$49.6M
Type 1 Diabetes TrialNet Clinical Network HubU01DK103282 · NIDDK · BENAROYA RESEARCH INST AT VIRGINIA MASON · PI CARLA J GREENBAUM, KURT J GRIFFIN · 2014 to 2026
$14.2M
Northwest Clinical Center for Type 1 Diabetes - TrialNetU01DK061034 · NIDDK · BENAROYA RESEARCH INST AT VIRGINIA MASON · PI GREENBAUM, CARLA J · 2001 to 2018
$10.3M
Type I Diabetes Trialnet at StsnfordU01DK061042 · NIDDK · STANFORD UNIVERSITY · PI WILSON, DARRELL M · 2001 to 2018
$8.5M
UCSF Trialnet: A Phase II Trial of Imatimib in New Onset Type I DiabetesU01DK061010 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GITELMAN, STEPHEN E · 2001 to 2018
$8.1M
Type 1 Diabetes-A Proposal for Prevention & InterventionU01DK085476 · NIDDK · UNIVERSITY OF MINNESOTA · PI MORAN, ANTOINETTE M. · 2009 to 2018
$7.1M
Prediction and Prevention of Type I DiabetesU01DK061058 · NIDDK · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BECKER, DOROTHY J · 2001 to 2018
$6.5M
TrialNet: University of Florida Clinical Center and NetworkU01DK085461 · NIDDK · UNIVERSITY OF FLORIDA · PI HALLER, MICHAEL JAMES · 2009 to 2018
$5.9M
TrialNet: Diabetes Type 1 PreventionU01DK085509 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI GOTTLIEB, PETER A · 2009 to 2018
$5.8M
Type 1 Diabetes TrialNet Clinical Center: Effects of Alefacept in New Onset T1DU01DK085499 · NIDDK · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI BAIDAL, DAVID · 2009 to 2018
$4.9M
Vanderbilt University: Clinical Center Application, Type 1 Diabetes TrialNetU01DK085465 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI RUSSELL, WILLIAM E · 2009 to 2018
$4.8M
NIDDK NIH HHS U01 DK061010NIDDK NIH HHS U01 DK061034NIDDK NIH HHS U01 DK061042NIDDK NIH HHS U01 DK061058NIDDK NIH HHS U01 DK085461NIDDK NIH HHS U01 DK085465NIDDK NIH HHS U01 DK085466NIDDK NIH HHS U01 DK085476NIDDK NIH HHS U01 DK085499NIDDK NIH HHS U01 DK085509NIDDK NIH HHS U01 DK103153NIDDK NIH HHS U01 DK103180NIDDK NIH HHS U01 DK103266NIDDK NIH HHS U01 DK103282NIDDK NIH HHS U01 DK106984NIDDK NIH HHS U01 DK106993NIDDK NIH HHS U01 DK106994NIDDK NIH HHS U01 DK107013NIDDK NIH HHS U01 DK107014NIDDK NIH HHS UC4 DK117009NIH HHS U01 DK061010NIH HHS U01 DK061034NIH HHS U01 DK061042NIH HHS U01 DK061058NIH HHS U01 DK085461NIH HHS U01 DK085465NIH HHS U01 DK085466NIH HHS U01 DK085476NIH HHS U01 DK085499NIH HHS U01 DK085509NIH HHS U01 DK103153NIH HHS U01 DK103180NIH HHS U01 DK103266NIH HHS U01 DK103282NIH HHS U01 DK106984NIH HHS U01 DK106993NIH HHS U01 DK106994NIH HHS U01 DK107013NIH HHS U01 DK107014NIH HHS UC4 DK117009
6 · The paper itself

Abstract

article highlightsInterassay concordance and 5-year diabetes prediction of islet cell autoantibody detection using the radiobinding assay (TrialNet), two independently developed multiplex electrochemiluminescence detection methods, the luciferase immune precipitation system, detection by agglutination-PCR, and truncated GADA, and IA2βA radiobinding assays are reported. There was considerable discordance that varied by type of autoantibody across the assays. Type 1 diabetes prediction was relatively high and uniform, implying confirmation of increased diabetes risk among those who are multiple autoantibody positive, although substantial false positive rates need to be considered when autoantibodies alone are used for screening to identify high diabetes risk.

Indexed as

AutoantibodiesDiabetes Mellitus, Type 1FemaleHumansPredictive Value of TestsSensitivity and SpecificityAutoantibodies

Identifiers

PMID40063422
PMCPMC12365410

What OpenQuestion holds

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Read underepoch 390

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.