Evidence map›Paper›PMID 20412757›Full record

ReviewImmunity2010

Prediction and pathogenesis in type 1 diabetes.

Anette-G Ziegler, Gerald T Nepom

Registry-linked trialAbstract readReview
In one paragraph

Review in Immunity, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03069196 (A Study to Assess Prevalence and Incidence of Long-term Complications of Type 1 Diabetes in a Tertiary Clinic in Pune.), which is not on this map. Cited by 167 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
167citing papers in PubMed, 1 pooled it
–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.

NCT03069196 active not recruitingnot on this mapstarted 2016, after this paper: background citation

A Study to Assess Prevalence and Incidence of Long-term Complications of Type 1 Diabetes in a Tertiary Clinic in Pune.

TypeobservationalSponsorKem Hospital, Pune, IndiaRan2016 to 2025Enrolled323ConditionsType 1 Diabetes Mellitus
3 · Its place in the literature

Who cites it

167 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
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  10. Review
  11. Experimental models in diabetes research.Laboratory animal research · 2026
    Review
  12. Article
  13. Predictive Autoantibodies Before the Diagnosis of Type I Diabetes in Adults.medRxiv : the preprint server for health sciences · 2026
    Article
  14. Article
  15. Article
  16. 3D Bioprinting Strategies in Autoimmune Disease Models.International journal of molecular sciences · 2025
    Review
  17. Article
  18. Article
  19. Review
  20. Review

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

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

2 authors.

Anette-G ZieglerForschergruppe Diabetes, Klinikum rechts der Isar, Technische Universität München, Kölner Platz 1, 80804 München, Germany. anziegler@lrz.uni-muenchen.de
Gerald T Nepom

Funding

Virginia Mason/UCHSC Autoimmune Prevention CenterU19AI050864 · NIAID · UNIVERSITY OF COLORADO DENVER · PI HOLERS, VERNON MICHAEL · 2001 to 2011
$29.2M
NIAID NIH HHS U19 AI050864
6 · The paper itself

Abstract

A combination of genetic and immunological features is useful for prediction of autoimmune diabetes. Patterns of immune response correspond to the progression from a preclinical phase of disease to end-stage islet damage, with biomarkers indicating transition from susceptibility to active autoimmunity, and to a final loss of immune regulation. Here, we review the markers that provide evidence for immunological checkpoint failure and that also provide tools for assessment of individualized disease risk. When viewed in the context of genetic variation that influences immune response thresholds, progression from susceptibility to overt disease displays predictable modalities of clinical presentation resulting from a sequential series of failed homeostatic checkpoints for selection and activation of immunity.

Indexed as

Genetic Predisposition to DiseaseAnimalsBiomarkersDiabetes Mellitus, Type 1Genetic VariationHumansRisk FactorsBiomarkers

Identifiers

PMID20412757
PMCPMC2861716

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.