Evidence map›Paper›PMID 28096222›Full record

ArticleDiabetes care2017

First Infant Formula Type and Risk of Islet Autoimmunity in The Environmental Determinants of Diabetes in the Young (TEDDY) Study.

Sandra Hummel, Andreas Beyerlein, Roy Tamura, Ulla Uusitalo, Carin Andrén Aronsson, Jimin Yang, Anne Riikonen, Åke Lernmark, Marian J Rewers, William A Hagopian and 9 more

Abstract read
In one paragraph

Article in Diabetes care, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.7field-weighted citation impact, top 6% 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

20 citing papers in PubMed, 40 citations in OpenAlex.

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  19. Combination Immunotherapy for Type 1 Diabetes.Current diabetes reports · 2017
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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

19 authors at 12 institutions in 4 countries.

Sandra HummelInstitute of Diabetes Research, Helmholtz Zentrum München, Munich, and Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, Forschergruppe Diabetes e.V., Neuherberg, Germany sandra.hummel@lrz.uni-muenchen.de.
Andreas BeyerleinInstitute of Diabetes Research, Helmholtz Zentrum München, Munich, and Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, Forschergruppe Diabetes e.V., Neuherberg, Germany.
Roy TamuraHealth Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL.
Ulla UusitaloHealth Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL.
Carin Andrén AronssonDepartment of Clinical Sciences, Lund University/Clinical Research Centre, Skåne University Hospital (SUS), Malmö, Sweden.
Jimin YangHealth Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL.
Anne RiikonenUnit of Nutrition, National Institute for Health and Welfare, Helsinki, and Faculty of Social Sciences, University of Tampere, Tampere, Finland.
Åke LernmarkDepartment of Clinical Sciences, Lund University/Clinical Research Centre, Skåne University Hospital (SUS), Malmö, Sweden.
Marian J RewersBarbara Davis Center for Childhood Diabetes, University of Colorado Anschutz Medical Campus, Aurora, CO.
William A HagopianPacific Northwest Diabetes Research Institute, Seattle, WA.
Jin-Xiong SheCenter for Biotechnology and Genomic Medicine, Medical College of Georgia, Augusta University, Augusta, GA.
Olli G SimellDepartment of Pediatrics, Turku University Hospital, Turku, Finland.
Jorma ToppariDepartment of Pediatrics, Turku University Hospital, Turku, Finland.
Anette-G ZieglerInstitute of Diabetes Research, Helmholtz Zentrum München, Munich, and Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, Forschergruppe Diabetes e.V., Neuherberg, Germany.
Beena AkolkarNational Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD.
Jeffrey P KrischerHealth Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa, FL.
Suvi M VirtanenUnit of Nutrition, National Institute for Health and Welfare, Helsinki, and Faculty of Social Sciences, University of Tampere, Tampere, Finland.
Jill M NorrisDepartment of Epidemiology, Colorado School of Public Health, University of Colorado Anschutz Medical Campus, Aurora, CO.
TEDDY Study Group
University of South Florida · USFinnish Institute for Health and Welfare · FITurku University Hospital · FIUniversity of Colorado Anschutz Medical Campus · USAugusta University · USGerman Center for Diabetes Research · DEHelmholtz Zentrum München · DELund University · SENational Institute of Diabetes and Digestive and Kidney Diseases · USPacific Northwest Diabetes Research Institute · USSkåne University Hospital · SETechnical University of Munich · DE

Funding

Data Coordinating Center (DCC)for the Consortium for Identification of EnvironmenUC4DK095300 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2011 to 2011
$56.0M
Data Coordinating CenterU01DK063790 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2002 to 2006
$50.1M
Colorado Clinical and Translational Sciences InstituteUL1TR001082 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2013 to 2017
$48.0M
Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
PILOT STUDY--SUBSTRATE METABOLISM IN EXTREMELY LOW BIRTH WEIGHT INFANTSP30DK048520 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI Edward L Melanson · 1995 to 2026
$32.6M
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
Establish a Data Coordinating Center (DCC) for the Consortium for Identification UC4DK100238 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2014 to 2014
$28.9M
The Study of Epigenetics and Infections in The Environmental Determinants of Diabetes in the Young (TEDDY)UC4DK112243 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2016 to 2016
$27.0M
Data Coordinating Center (DCC) for the Consortium for Identification of Environmental Determinants of Diabetes in the Young (TEDDY) StudyUC4DK106955 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2015 to 2015
$20.0M
The Environmental Determinants of Diabetes in Young (TEDDY0U01DK063863 · NIDDK · HOSPITAL DISTRICT OF SOUTHWEST FINLAND · PI TOPPARI, JORMA · 2003 to 2022
$13.5M
The Environmental Triggers of Diabetes (TEDDY) in SwedenU01DK063861 · NIDDK · UNIVERSITY OF WASHINGTON · PI LERNMARK, AKE · 2003 to 2022
$13.4M
THE TEDDY STUDY - COLORADO CLINICAL CENTERU01DK063821 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI REWERS, MARIAN J · 2003 to 2022
$12.3M
NCATS NIH HHS UL1 TR000064NCATS NIH HHS UL1 TR001082NCATS NIH HHS UL1 TR001427NIDDK NIH HHS HHSN267200700014CNIDDK NIH HHS U01 DK063790NIDDK NIH HHS U01 DK063821NIDDK NIH HHS U01 DK063829NIDDK NIH HHS U01 DK063836NIDDK NIH HHS U01 DK063861NIDDK NIH HHS U01 DK063863NIDDK NIH HHS U01 DK063865NIDDK NIH HHS UC4 DK063821NIDDK NIH HHS UC4 DK063829NIDDK NIH HHS UC4 DK063836NIDDK NIH HHS UC4 DK063861NIDDK NIH HHS UC4 DK063863NIDDK NIH HHS UC4 DK063865NIDDK NIH HHS UC4 DK095300NIDDK NIH HHS UC4 DK100238NIDDK NIH HHS UC4 DK106955NIDDK NIH HHS UC4 DK112243NIDDK NIH HHS UC4 DK117483
6 · The paper itself

Abstract

objectiveStudies on the introduction of infant formulas and its effect on the risk of islet autoimmunity and type 1 diabetes (T1D) have yielded inconsistent results. We investigated whether the introduction of formula based on hydrolyzed cow's milk as the first formula is associated with reduced islet autoimmunity risk in a large prospective cohort. RESEARCH DESIGN AND

methodsThe Environmental Determinants of Diabetes in the Young (TEDDY) study prospectively monitors 8,676 children at increased genetic risk for T1D. Autoantibodies to insulin, GAD65, and IA2 were measured regularly to define islet autoimmunity. Information on formula feeding was collected by questionnaires at 3 months of age.

resultsIn survival analyses, after adjustment for family history with T1D, HLA genotype, sex, country, delivery mode, breast-feeding ≥3 months, and seasonality of birth, we observed no significant association with islet autoimmunity in infants who received extensively hydrolyzed compared with nonhydrolyzed cow's milk-based formula as the first formula during the first 3 months (adjusted hazard ratio 1.38 [95% CI 0.95; 2.01]), and a significantly increased risk for extensively hydrolyzed formula introduced during the first 7 days (adjusted hazard ratio 1.57 [1.04; 2.38]). Using a partially hydrolyzed or other formula as the first formula, or no formula, was not associated with islet autoimmunity risk.

conclusionsThese results add to the existing evidence that islet autoimmunity risk is not reduced, and may be increased, by using hydrolyzed compared with nonhydrolyzed cow's milk-based infant formula as the first formula in infants at increased genetic risk for T1D.

Indexed as

AutoimmunityAnimalsAutoantibodiesBreast FeedingCattleDiabetes Mellitus, Type 1Endpoint DeterminationFemaleFollow-Up StudiesGenetic Predisposition to DiseaseHumansInfantInfant FormulaInsulinMaleMilkAutoantibodiesInsulin

Identifiers

PMID28096222
PMCPMC5319477
OpenAlexW2578829122

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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.