Evidence map›Paper›PMID 37794169›Full record

ArticleCommunications medicine2023

Disease-modifying therapies and features linked to treatment response in type 1 diabetes prevention: a systematic review.

Jamie L Felton, Kurt J Griffin, Richard A Oram, Cate Speake, S Alice Long, Suna Onengut-Gumuscu, Stephen S Rich, Gabriela S F Monaco, Carmella Evans-Molina, Linda A DiMeglio and 10 more

Open access · goldAbstract read
In one paragraph

Article in Communications medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 1 pooled it
7.5field-weighted citation impact, top 2% 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

20 authors at 20 institutions in 26 countries.

Jamie L FeltonDepartment of Pediatrics, Center for Diabetes and Metabolic Diseases, Indianapolis, IN, USA.
Kurt J GriffinDepartment of Pediatrics, Sanford School of Medicine, University of South Dakota, Sioux Falls, SD, USA.
Richard A OramNIHR Exeter Biomedical Research Centre (BRC), Academic Kidney Unit, University of Exeter, Devon, UK.
Cate SpeakeCenter for Interventional Immunology, Benaroya Research Institute, Seattle, WA, USA.ORCID http://orcid.org/0000-0003-1480-4272
S Alice LongCenter for Translational Immunology, Benaroya Research Institute, Seattle, WA, USA.ORCID http://orcid.org/0000-0002-0281-1240
Suna Onengut-GumuscuCenter for Public Health Genomics, University of Virginia, Charlottesville, VA, USA.ORCID http://orcid.org/0000-0002-6563-8334
Stephen S RichCenter for Public Health Genomics, University of Virginia, Charlottesville, VA, USA.ORCID http://orcid.org/0000-0003-3872-7793
Gabriela S F MonacoDepartment of Pediatrics, Center for Diabetes and Metabolic Diseases, Indianapolis, IN, USA.
Carmella Evans-MolinaDepartment of Pediatrics, Center for Diabetes and Metabolic Diseases, Indianapolis, IN, USA.
Linda A DiMeglioDepartment of Pediatrics, Center for Diabetes and Metabolic Diseases, Indianapolis, IN, USA.ORCID http://orcid.org/0000-0002-8033-6078
Heba M IsmailDepartment of Pediatrics, Center for Diabetes and Metabolic Diseases, Indianapolis, IN, USA.
Andrea K SteckBarbara Davis Center for Diabetes, Aurora, CO, USA.
Dana DabeleaLifecourse Epidemiology of Adiposity and Diabetes (LEAD) Center, Aurora, CO, USA.
Randi K JohnsonDepartment of Biomedical Informatics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Marzhan UrazbayevaDepartment of Pediatrics, Baylor College of Medicine, Houston, TX, USA.
Stephen GitelmanDepartment of Pediatrics, Diabetes Center; University of California at San Francisco, San Francisco, CA, USA.
John M WentworthRoyal Melbourne Hospital Department of Diabetes and Endocrinology, Walter and Eliza Hall Institute, Parkville, VIC, Australia.
Maria J RedondoDepartment of Pediatrics, Baylor College of Medicine, Houston, TX, USA.
Emily K SimsDepartment of Pediatrics, Center for Diabetes and Metabolic Diseases, Indianapolis, IN, USA. eksims@iu.edu.ORCID http://orcid.org/0000-0002-4393-954X
ADA/EASD PMDI
Johns Hopkins University · USUniversity of Copenhagen · DKBroad Institute · USHarvard University · USNorthwestern University · USUniversity of Exeter · GBIndiana University School of MedicineChinese University of Hong Kong · HKUniversity of Dundee · GBLund University · SEBrigham and Women's Hospital · USJoslin Diabetes Center · USNational Institutes of Health · USUniversity of Chicago · USUniversity of Maryland, Baltimore · USUniversity of South Dakota · USBaylor College of Medicine · USHôpital Necker-Enfants Malades · FRInserm · FRUniversity of Colorado Anschutz Medical Campus · US

Funding

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
Indiana Clinical and Translational Sciences InstituteUL1TR001108 · NCATS · INDIANA UNIVERSITY INDIANAPOLIS · PI DENNE, SCOTT C., SHEKHAR, ANANTHA · 2013 to 2017
$23.3M
RARE and Atypical Diabetes Network(RADIANT)U54DK118638 · NIDDK · BAYLOR COLLEGE OF MEDICINE · PI ASHOK BALASUBRAMANYAM, JEFFREY P KRISCHER · 2018 to 2026
$22.7M
Translation CoreP30DK097512 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI JEFFREY S ELMENDORF · 2015 to 2026
$17.4M
Diabetes-Docs: Physician-Scientist Career Development Program (DiabDocs)K12DK133995 · NIDDK · STANFORD UNIVERSITY · PI LINDA A DIMEGLIO, David Matthew Maahs · 2022 to 2026
$16.0M
The Integrated Stress Response in Human Islets During Early T1DU01DK127786 · NIDDK · UNIVERSITY OF CHICAGO · PI EVANS-MOLINA, CARMELLA, MIRMIRA, RAGHAVENDRA G · 2020 to 2025
$7.1M
Defining the features of T cell response to tumor and self-antigens as predictors of response to checkpoint therapyR01CA231226 · NCI · BENAROYA RESEARCH INST AT VIRGINIA MASON · PI BUCKNER, JANE HOYT, LINSLEY, PETER S · 2019 to 2024
$5.1M
Functional Mechanisms of T1D Risk Variants and their Target Genes using 3D Epigenomics and Single Cell ApproachesR01DK122586 · NIDDK · UNIVERSITY OF VIRGINIA · PI GRANT, STRUAN F A, RICH, STEPHEN S. · 2019 to 2022
$4.8M
Mechanisms of Beta Cell Function in Health and DiseaseR01DK093954 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI EVANS-MOLINA, CARMELLA · 2011 to 2019
$3.5M
Immune Checkpoints in Acute Respiratory Distress Syndrome (IC-ARDS)R01HL149676 · NHLBI · BENAROYA RESEARCH INST AT VIRGINIA MASON · PI MIKACENIC, CARMEN R · 2020 to 2024
$3.0M
Defining mechanisms of CD8 T cell exhaustion in T1DR01AI141952 · NIAID · BENAROYA RESEARCH INST AT VIRGINIA MASON · PI LONG, S ALICE · 2020 to 2024
$2.8M
Implications of Changes in Islet Exosomal Cargo in Type 1 DiabetesR01DK133881 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI EVANS-MOLINA, CARMELLA, MIRMIRA, RAGHAVENDRA G · 2022 to 2025
$2.7M
BLRD VA I01 BX001733British Heart Foundation RG/17/12/33167Medical Research Council MC_UU_00014/4NCATS NIH HHS UL1 TR001108NCI NIH HHS R01 CA231226NHLBI NIH HHS R01 HL149676NIAID NIH HHS R01 AI141952NIDDK NIH HHS K12 DK133995NIDDK NIH HHS K23 DK129799NIDDK NIH HHS P30 DK097512NIDDK NIH HHS R01 DK093954NIDDK NIH HHS R01 DK121843NIDDK NIH HHS R01 DK121929NIDDK NIH HHS R01 DK122586NIDDK NIH HHS R01 DK124395NIDDK NIH HHS R01 DK127236NIDDK NIH HHS R01 DK127308NIDDK NIH HHS R01 DK133881NIDDK NIH HHS R03 DK127472NIDDK NIH HHS U01 DK127382NIDDK NIH HHS U01 DK127786NIDDK NIH HHS U54 DK118638NIDDK NIH HHS UC4 DK104166NIDDK NIH HHS UC4 DK117483Wellcome Trust 210752/Z/18/Z
6 · The paper itself

Abstract

backgroundType 1 diabetes (T1D) results from immune-mediated destruction of insulin-producing beta cells. Prevention efforts have focused on immune modulation and supporting beta cell health before or around diagnosis; however, heterogeneity in disease progression and therapy response has limited translation to clinical practice, highlighting the need for precision medicine approaches to T1D disease modification.

methodsTo understand the state of knowledge in this area, we performed a systematic review of randomized-controlled trials with ≥50 participants cataloged in PubMed or Embase from the past 25 years testing T1D disease-modifying therapies and/or identifying features linked to treatment response, analyzing bias using a Cochrane-risk-of-bias instrument.

resultsWe identify and summarize 75 manuscripts, 15 describing 11 prevention trials for individuals with increased risk for T1D, and 60 describing treatments aimed at preventing beta cell loss at disease onset. Seventeen interventions, mostly immunotherapies, show benefit compared to placebo (only two prior to T1D onset). Fifty-seven studies employ precision analyses to assess features linked to treatment response. Age, beta cell function measures, and immune phenotypes are most frequently tested. However, analyses are typically not prespecified, with inconsistent methods of reporting, and tend to report positive findings.

conclusionsWhile the quality of prevention and intervention trials is overall high, the low quality of precision analyses makes it difficult to draw meaningful conclusions that inform clinical practice. To facilitate precision medicine approaches to T1D prevention, considerations for future precision studies include the incorporation of uniform outcome measures, reproducible biomarkers, and prespecified, fully powered precision analyses into future trial design.

Identifiers

PMID37794169
PMCPMC10550983
OpenAlexW4387345333

What Socratic holds

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LicenceCC BY
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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 Socratic graph.