Evidence map›Paper›PMID 30061316›Full record

Trial reportDiabetes care2019

Identical and Nonidentical Twins: Risk and Factors Involved in Development of Islet Autoimmunity and Type 1 Diabetes.

Taylor M Triolo, Alexandra Fouts, Laura Pyle, Liping Yu, Peter A Gottlieb, Andrea K Steck, Type 1 Diabetes TrialNet Study Group

Open access · bronzeAbstract readClinical TrialTwin Study
In one paragraph

Trial report in Diabetes care, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

23 citing papers in PubMed, 38 citations in OpenAlex.

  1. Review
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  15. Relationships between Diabetes and the Intestinal Microbial Population.International journal of molecular sciences · 2022
    Review
  16. Article
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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

7 authors at 2 institutions in 1 country.

Alexandra Fouts
Laura Pyle
Liping Yu
Peter A Gottlieb
Type 1 Diabetes TrialNet Study Group
University of Colorado Denver · USUniversity of Colorado Anschutz Medical Campus · US

Funding

Yale Diabetes Research CenterP30DK045735 · NIDDK · YALE UNIVERSITY · PI Kevan C Herold, GERALD I SHULMAN · 1993 to 2026
$44.0M
Vector and Transgenic Mouse CoreP30DK017047 · NIDDK · UNIVERSITY OF WASHINGTON · PI Karin E Bornfeldt · 1986 to 2026
$41.4M
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
Training Program in Diabetes ResearchT32DK063687 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI Andrea Steck · 2002 to 2026
$5.2M
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 P30 DK017047NIDDK NIH HHS P30 DK045735NIDDK NIH HHS T32 DK063687NIDDK NIH HHS T32 DK065522NIDDK NIH HHS U01 DK061010NIDDK NIH HHS U01 DK061034NIDDK NIH HHS U01 DK061042NIDDK NIH HHS U01 DK061058NIDDK NIH HHS U01 DK085453NIDDK NIH HHS U01 DK085461NIDDK NIH HHS U01 DK085463NIDDK NIH HHS U01 DK085465NIDDK NIH HHS U01 DK085466NIDDK NIH HHS U01 DK085476NIDDK NIH HHS U01 DK085499NIDDK NIH HHS U01 DK085504NIDDK NIH HHS U01 DK085505NIDDK NIH HHS U01 DK085509NIDDK NIH HHS U01 DK103153NIDDK NIH HHS U01 DK103180NIDDK NIH HHS U01 DK103266
6 · The paper itself

Abstract

objectiveThere are variable reports of risk of concordance for progression to islet autoantibodies and type 1 diabetes in identical twins after one twin is diagnosed. We examined development of positive autoantibodies and type 1 diabetes and the effects of genetic factors and common environment on autoantibody positivity in identical twins, nonidentical twins, and full siblings. RESEARCH DESIGN AND

methodsSubjects from the TrialNet Pathway to Prevention Study (

resultsAt screening, identical twins were more likely to have positive GADA, IA-2A, and IAA than nonidentical twins or full siblings (all

conclusionsRisk of type 1 diabetes at 3 years is high for initially multiple and single autoantibody-positive identical twins and multiple autoantibody-positive nonidentical twins. Genetic predisposition, age, and male sex are significant risk factors for development of positive autoantibodies in twins.

Indexed as

Diabetes Mellitus, Type 1Twins, DizygoticTwins, MonozygoticAdolescentAdultAutoantibodiesAutoimmunityChildChild, PreschoolDisease ProgressionDiseases in TwinsEnvironmentFemaleGenetic Predisposition to DiseaseGlutamate DecarboxylaseHumansAutoantibodiesGlutamate DecarboxylaseInsulin

Identifiers

PMID30061316
PMCPMC6341285
OpenAlexW2883056860

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.