Evidence map›Paper›PMID 23900975›Full record

ReviewCurrent diabetes reports2013

Novel diabetes autoantibodies and prediction of type 1 diabetes.

Janet M Wenzlau, John C Hutton

Abstract readReview
In one paragraph

Review in Current diabetes reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

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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

2 authors.

Janet M WenzlauBarbara Davis Center for Childhood Diabetes, University of Colorado Denver, 1775 Aurora Ct, Aurora, CO, 80045, USA, janet.wenzlau@ucdenver.edu.
John C Hutton

Funding

UCHSC DIABETES ENDOCRINOLOGY RESEARCH CENTERP30DK057516 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI HUTTON, JOHN C · 2000 to 2010
$14.0M
MOLECULAR TARGETS OF CMI IN TYPE I DIABETESR01DK052068 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI DAVIDSON, HOWARD W · 1997 to 2014
$3.1M
NIDDK NIH HHS P30 DK057516NIDDK NIH HHS R01 DK052068
6 · The paper itself

Abstract

Autoantibodies are currently the most robust biomarkers of type 1 diabetes and are frequently used to establish entry criteria for the participation of genetically at-risk individuals in secondary prevention/intervention clinical trials. Since their original description almost 40 years ago, considerable efforts have been devoted toward identifying the precise molecular targets that are recognized. Such information can have significant benefit for developing improved metrics for identifying/stratifying of at-risk subjects, developing potential therapeutic targets, and advancing understanding of the pathophysiology of the disease. Currently, four major molecular targets ([pro]insulin, GAD65, IA-2, and ZnT8) have been confirmed, with approximately 94% of all subjects with a clinical diagnosis of type 1 diabetes expressing autoantibodies to at least one of these molecules at clinical onset. In this review, we summarize some of the salient properties of these targets that might contribute to their autoantigenicity and methods that have been used in attempts to identify new components of the humoral autoresponse.

Indexed as

AutoantibodiesAutoantigensCation Transport ProteinsDiabetes Mellitus, Type 1HumansRadioimmunoassayAutoantibodiesAutoantigensCation Transport Proteins

Identifiers

PMID23900975
PMCPMC3887556

What OpenQuestion holds

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Registered trials

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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.