Evidence map›Paper›PMID 38621411›Full record

ArticleDiabetes care2024

Early Metabolic Endpoints Identify Persistent Treatment Efficacy in Recent-Onset Type 1 Diabetes Immunotherapy Trials.

Laura M Jacobsen, David Cuthbertson, Brian N Bundy, Mark A Atkinson, Wayne Moore, Michael J Haller, William E Russell, Stephen E Gitelman, Kevan C Herold, Maria J Redondo and 8 more

Abstract read
In one paragraph

Article in Diabetes care, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–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

6 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Review
  4. Article
  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

18 authors.

Laura M JacobsenDepartment of Pediatrics, Diabetes Institute, College of Medicine, University of Florida, Gainesville, FL.ORCID 0000-0002-5144-7836
David CuthbertsonHealth Informatics Institute, University of South Florida, Tampa, FL.
Brian N BundyHealth Informatics Institute, University of South Florida, Tampa, FL.
Mark A AtkinsonDepartment of Pediatrics, Diabetes Institute, College of Medicine, University of Florida, Gainesville, FL.
Wayne MoorePediatric Endocrinology, Children's Mercy Hospital/University of Missouri-Kansas City Mercy, Kansas City, MO.
Michael J HallerDepartment of Pediatrics, Diabetes Institute, College of Medicine, University of Florida, Gainesville, FL.
William E RussellVanderbilt University Medical Center, Nashville, TN.
Stephen E GitelmanUniversity of California San Francisco, San Francisco, CA.
Kevan C HeroldYale University School of Medicine, New Haven, CT.ORCID 0000-0003-1534-6613
Maria J RedondoBaylor College of Medicine, Texas Children's Hospital, Houston, TX.
Emily K SimsDepartment of Pediatrics, Indiana University, Indianapolis, IN.
Diane K WherrettHospital for Sick Children and University of Toronto, Toronto, Ontario, Canada.
Antoinette MoranDepartment of Pediatrics, University of Minnesota, Minneapolis, MN.
Alberto PuglieseDepartment of Diabetes Immunology, Arthur Riggs Diabetes and Metabolism Research Institute, City of Hope, Duarte, CA.
Peter A GottliebBarbara Davis Center, University of Colorado School of Medicine, Aurora, CO.
Jay M SosenkoDivision of Endocrinology, University of Miami, Miami, FL.
Heba M IsmailBaylor College of Medicine, Texas Children's Hospital, Houston, TX.
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
Vanderbilt Institute for Clinical and Translational Research (VICTR) -Identifying correlates of functional immunity in SARS-CoV-2 convalescent plasmaUL1TR002243 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Paul A. Harris, Wesley H Self · 2017 to 2026
$130.7M
University of Pittsburgh Clinical and Translational Science InstituteUL1TR001857 · NCATS · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2016 to 2025
$129.3M
Clinical and Translational Science InstituteUL1TR001872 · NCATS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI COLLARD, HAROLD R, JACOBY, VANESSA · 2016 to 2025
$112.1M
UCSF CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTEUL1RR024131 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOHNSTON, S. CLAIBORNE · 2006 to 2011
$111.2M
Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
UNIVERSITY OF PITTSBURGH CLINICAL AND TRANSLATIONAL SCIENCE INSTITUTE: BPCAUL1RR024153 · NCRR · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI REIS, STEVEN E · 2006 to 2011
$73.9M
CTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR025780 · NCRR · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2008 to 2011
$61.3M
YALE UNIVERSITY CLINICAL AND TRANSLATIONAL SCIENCE AWARD PROGRAMUL1RR024139 · NCRR · YALE UNIVERSITY · PI SHERWIN, ROBERT S · 2006 to 2011
$56.8M
Colorado Clinical and Translational Sciences InstituteUL1TR001082 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2013 to 2017
$48.0M
VANDERBILT UNIVERSITY CTSA FOR PEDIATRIC RESEARCHUL1RR024975 · NCRR · VANDERBILT UNIVERSITY · PI BERNARD, GORDON RAPHAEL · 2007 to 2011
$45.7M
The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Diabetes TrialNet Study GroupJDRF UL1TR002243National Institute of Allergy and Infectious DiseasesNational Institutes of Health (NIH)NCATS NIH HHS UL1 TR000114NCATS NIH HHS UL1 TR000445NCATS NIH HHS UL1 TR001082NCATS NIH HHS UL1 TR001085NCATS NIH HHS UL1 TR001427NCATS NIH HHS UL1 TR001857NCATS NIH HHS UL1 TR001863NCATS NIH HHS UL1 TR001872NCATS NIH HHS UL1 TR002243NCATS NIH HHS UL1 TR002529NCRR NIH HHS M01 RR000400NCRR NIH HHS UL1 RR024131NCRR NIH HHS UL1 RR024139NCRR NIH HHS UL1 RR024153NCRR NIH HHS UL1 RR024975NCRR NIH HHS UL1 RR024982NCRR NIH HHS UL1 RR025744NCRR NIH HHS UL1 RR025761NCRR NIH HHS UL1 RR025780NCRR NIH HHS UL1 RR029890NCRR NIH HHS UL1 RR031986NIAID NIH HHS P01 AI042288NIDDK NIH HHS HHSN267200800019CNIDDK NIH HHS K08 DK128628NIDDK NIH HHS K23 DK129799NIDDK NIH HHS P30 DK097512NIDDK NIH HHS R01 DK121843NIDDK NIH HHS R01 DK121929NIDDK NIH HHS R01 DK133881NIDDK NIH HHS U01 DK061010NIDDK NIH HHS U01 DK061034NIDDK NIH HHS U01 DK061040NIDDK NIH HHS U01 DK061042NIDDK NIH HHS U01 DK061058NIDDK NIH HHS U01 DK085453NIDDK NIH HHS U01 DK085461NIDDK NIH HHS U01 DK085465NIDDK NIH HHS U01 DK085466NIDDK NIH HHS U01 DK085476NIDDK NIH HHS U01 DK085499NIDDK NIH HHS U01 DK085504NIDDK 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 DK106993
6 · The paper itself

Abstract

objectiveMixed-meal tolerance test-stimulated area under the curve (AUC) C-peptide at 12-24 months represents the primary end point for nearly all intervention trials seeking to preserve β-cell function in recent-onset type 1 diabetes. We hypothesized that participant benefit might be detected earlier and predict outcomes at 12 months posttherapy. Such findings would support shorter trials to establish initial efficacy. RESEARCH DESIGN AND

methodsWe examined data from six Type 1 Diabetes TrialNet immunotherapy randomized controlled trials in a post hoc analysis and included additional stimulated metabolic indices beyond C-peptide AUC. We partitioned the analysis into successful and unsuccessful trials and analyzed the data both in the aggregate as well as individually for each trial.

resultsAmong trials meeting their primary end point, we identified a treatment effect at 3 and 6 months when using C-peptide AUC (P = 0.030 and P < 0.001, respectively) as a dynamic measure (i.e., change from baseline). Importantly, no such difference was seen in the unsuccessful trials. The use of C-peptide AUC as a 6-month dynamic measure not only detected treatment efficacy but also suggested long-term C-peptide preservation (R2 for 12-month C-peptide AUC adjusted for age and baseline value was 0.80, P < 0.001), and this finding supported the concept of smaller trial sizes down to 54 participants.

conclusionsEarly dynamic measures can identify a treatment effect among successful immune therapies in type 1 diabetes trials with good long-term prediction and practical sample size over a 6-month period. While external validation of these findings is required, strong rationale and data exist in support of shortening early-phase clinical trials.

Indexed as

C-PeptideDiabetes Mellitus, Type 1ImmunotherapyAdolescentAdultArea Under CurveChildFemaleHumansMaleRandomized Controlled Trials as TopicTreatment OutcomeC-Peptide

Identifiers

PMID38621411
PMCPMC11294635

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.