Evidence map›Paper›PMID 27362539›Full record

ReviewCurrent opinion in endocrinology, diabetes, and obesity2016

Staging the progression to type 1 diabetes with prediagnostic markers.

Jay M Sosenko

Abstract readReview
In one paragraph

Review in Current opinion in endocrinology, diabetes, and obesity, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Type 1Micromachines · 2023
    Review
  7. Rapid Point-of-Care Test for Determination of C-Peptide Levels.Journal of diabetes science and technology · 2022
    Article
  8. Review
  9. Insulin Autoimmune Syndrome as Part of Pre-Clinical LADA.Diabetes, metabolic syndrome and obesity : targets and therapy · 2021
    Article
  10. Review
  11. Review
  12. Review
  13. 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

1 author.

Jay M SosenkoDivision of Endocrinology, University of Miami, Florida, USA.

Funding

Data Coordinating Center for Type 1 Diabetes TrialNet (UC4)USF: TrialNet UC4-3UC4DK117009 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2017 to 2019
$49.6M
NIDDK Type 1 Diabetes TrialNet Data Coordinating CenterUC4DK097835 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2012 to 2012
$45.0M
NIDDK Type 1 Diabetes TrialNet Data Coordinating CenterUC4DK106993 · NIDDK · UNIVERSITY OF SOUTH FLORIDA · PI KRISCHER, JEFFREY P · 2015 to 2015
$36.6M
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
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 HHSN267200800019CNIDDK 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 DK103266NIDDK NIH HHS U01 DK106984NIDDK NIH HHS U01 DK107014NIDDK NIH HHS UC4 DK097835NIDDK NIH HHS UC4 DK106993NIDDK NIH HHS UC4 DK117009
6 · The paper itself

Abstract

purpose of reviewThere are an increasing number of markers that are used to predict the occurrence of type 1 diabetes (T1D), and to study the progression of pathologic changes prior to diagnosis. This review discusses some of those markers, particularly markers for which data are available that pertain to the progression to T1D. RECENT

findingsA study of birth cohorts showed that young children who develop multiple autoantibodies are at a particularly high risk for developing T1D, and that there appears to be a typical sequence for autoantibody development. The measurement of autoantibodies by electrochemiluminescence can increase the prediction accuracy for T1D. A new marker of changes in glucose over 6 months (PS6 M) has potential utility as an endpoint in short-term prevention trials. Markers which combine C-peptide and glucose, such as the Diabetes Prevention Trial-Type 1 Risk Score and the Index60, can increase the accuracy of prediction, and can potentially be utilized as prediagnostic endpoints. β-cell death measurements could have substantial utility in future T1D research. SUMMARY: Markers are highly useful for studying the prediction of and progression to T1D. Moreover, markers can possibly be utilized to diagnose T1D at an earlier stage of disease.

Indexed as

BiomarkersDisease ProgressionChildDiabetes Mellitus, Type 1HumansBiomarkers

Identifiers

PMID27362539
PMCPMC4936493

What OpenQuestion holds

Textmetadata
LicenceTDM
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.