Evidence map›Paper›PMID 26552054›Full record

ArticleJAMA pediatrics2016

Association of Early Exposure of Probiotics and Islet Autoimmunity in the TEDDY Study.

Ulla Uusitalo, Xiang Liu, Jimin Yang, Carin Andrén Aronsson, Sandra Hummel, Martha Butterworth, Åke Lernmark, Marian Rewers, William Hagopian, Jin-Xiong She and 8 more

Registry-linked trialOpen access · bronzeAbstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in JAMA pediatrics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02929953 (Prevalence of Premature Birth History Among Type 1 Diabetes Mellitus), which is not on this map. Cited by 150 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
150citing papers in PubMed, 3 pooled it
19.5field-weighted citation impact, top 1% 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.

NCT02929953 completednot on this map

Prevalence of Premature Birth History Among Type 1 Diabetes Mellitus (T1D) Patients and Characteristics of Premature Born Children Who Develop T1D Compared With Those Who do Not

TypeobservationalSponsorAssaf Harofeh MCRan2014 to 2019Enrolled3,600ConditionsType 1 Diabetes MellitusArmschart review
3 · Its place in the literature

Who cites it

150 citing papers in PubMed, 3 syntheses or guidelines pooled it, 279 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. The role of gut micorbiome in obesity and diabetes.World journal of pediatrics : WJP · 2019
    Pooled it
  4. Trial
  5. Lack of effect ofBMJ open diabetes research & care · 2021
    Trial
  6. Effects ofNutrients · 2019
    Trial
  7. Trial
  8. Effects ofBMJ open · 2017
    Trial
  9. Review
  10. Article
  11. Article
  12. Review
  13. The Critical Period Microbiota Shape Brain Plasticity.bioRxiv : the preprint server for biology · 2026
    Article
  14. Review
  15. Article
  16. Review
  17. Review
  18. Review
  19. Review
  20. Review

90 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors at 10 institutions in 4 countries.

Ulla UusitaloHealth Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa.
Xiang LiuHealth Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa.
Jimin YangHealth Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa.
Carin Andrén AronssonDepartment of Clinical Sciences, Lund University, Malmö, Sweden.
Sandra HummelInstitute of Diabetes Research, Helmholtz Zentrum München and Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München and Forschergruppe Diabetes e.V., Munich, Germany.
Martha ButterworthHealth Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa.
Åke LernmarkDepartment of Clinical Sciences, Lund University, Malmö, Sweden.
Marian RewersBarbara Davis Center for Childhood Diabetes, University of Colorado School of Medicine, Aurora.
William HagopianPacific Northwest Diabetes Research Institute, Seattle, Washington.
Jin-Xiong SheMedical College of Georgia, Georgia Regents University, Augusta.
Olli SimellDepartment of Pediatrics, University of Turku and Turku University Hospital, Turku, Finland.
Jorma ToppariDepartment of Pediatrics, University of Turku and Turku University Hospital, Turku, Finland8Department of Physiology, Institute of Biomedicine, University of Turku, Turku, Finland.
Anette G ZieglerInstitute of Diabetes Research, Helmholtz Zentrum München and Forschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München and Forschergruppe Diabetes e.V., Munich, Germany.
Beena AkolkarNational Institute of Diabetes and Digestive and Kidney Diseases, National Institutes of Health, Bethesda, Maryland.
Jeffrey KrischerHealth Informatics Institute, Morsani College of Medicine, University of South Florida, Tampa.
Jill M NorrisDepartment of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Aurora.
Suvi M VirtanenNational Institute for Health and Welfare, Nutrition Unit, Helsinki, Finland12School of Health Sciences and Center for Child Health Research, University of Tampere and Tampere University Hospital, Tampere, Finland 13The Science Center of Pirkanmaa Hospita.
TEDDY Study Group
University of South Florida · USKlinikum rechts der Isar · DELund University · SEUniversity of Colorado Denver · USAugusta University · USNational Institute of Diabetes and Digestive and Kidney Diseases · USPacific Northwest Diabetes Research Institute · USTampere University Hospital · FITurku University Hospital · FIUniversity of Turku · FI

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
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
The TEDDY Study: Georgia/Florida Clinical CenterU01DK063865 · NIDDK · MEDICAL COLLEGE OF GEORGIA (MCG) · PI MCINDOE, RICHARD A. · 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 U01 DK63790NIDDK NIH HHS U01 DK63821NIDDK NIH HHS U01 DK63829NIDDK NIH HHS U01 DK63836NIDDK NIH HHS U01 DK63861NIDDK NIH HHS U01 DK63863NIDDK NIH HHS U01 DK63865NIDDK 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 DK117483NIDDK NIH HHS UC4 DK63821NIDDK NIH HHS UC4 DK63829NIDDK NIH HHS UC4 DK63836NIDDK NIH HHS UC4 DK63861NIDDK NIH HHS UC4 DK63863NIDDK NIH HHS UC4 DK63865NIDDK NIH HHS UC4 DK95300
6 · The paper itself

Abstract

importanceProbiotics have been hypothesized to affect immunologic responses to environmental exposures by supporting healthy gut microbiota and could therefore theoretically be used to prevent the development of type 1 diabetes mellitus (T1DM)-associated islet autoimmunity.

objectiveTo examine the association between supplemental probiotic use during the first year of life and islet autoimmunity among children at increased genetic risk of T1DM. DESIGN, SETTING, AND

participantsIn this ongoing prospective cohort study that started September 1, 2004, children from 6 clinical centers, 3 in the United States (Colorado, Georgia/Florida, and Washington) and 3 in Europe (Finland, Germany, and Sweden), were followed up for T1DM-related autoantibodies. Blood samples were collected every 3 months between 3 and 48 months of age and every 6 months thereafter to determine persistent islet autoimmunity. Details of infant feeding, including probiotic supplementation and infant formula use, were monitored from birth using questionnaires and diaries. We applied time-to-event analysis to study the association between probiotic use and islet autoimmunity, stratifying by country and adjusting for family history of type 1 diabetes, HLA-DR-DQ genotypes, sex, birth order, mode of delivery, exclusive breastfeeding, birth year, child's antibiotic use, and diarrheal history, as well as maternal age, probiotic use, and smoking. Altogether 8676 infants with an eligible genotype were enrolled in the follow-up study before the age of 4 months. The final sample consisted of 7473 children with the age range of 4 to 10 years (as of October 31, 2014). EXPOSURES: Early intake of probiotics. MAIN OUTCOMES AND MEASURES: Islet autoimmunity revealed by specific islet autoantibodies.

resultsEarly probiotic supplementation (at the age of 0-27 days) was associated with a decreased risk of islet autoimmunity when compared with probiotic supplementation after 27 days or no probiotic supplementation (hazard ratio [HR], 0.66; 95% CI, 0.46-0.94). The association was accounted for by children with the DR3/4 genotype (HR, 0.40; 95% CI, 0.21-0.74) and was absent among other genotypes (HR, 0.97; 95% CI, 0.62-1.54). CONCLUSIONS AND RELEVANCE: Early probiotic supplementation may reduce the risk of islet autoimmunity in children at the highest genetic risk of T1DM. The result needs to be confirmed in further studies before any recommendation of probiotics use is made.

Indexed as

AutoimmunityAutoantibodiesChildChild, PreschoolDiabetes Mellitus, Type 1Dietary SupplementsFemaleFollow-Up StudiesGenetic Predisposition to DiseaseGenotypeHLA AntigensHumansInfantInfant, NewbornIslets of LangerhansMaleAutoantibodiesHLA Antigens

Identifiers

PMID26552054
PMCPMC4803028
OpenAlexW2172910482

What OpenQuestion holds

Textmetadata
LicenceTDM
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.