Evidence map›Paper›PMID 16211374›Full record

ArticleDiabetologia2005

Proinsulin levels and the proinsulin:c-peptide ratio complement autoantibody measurement for predicting type 1 diabetes.

I Truyen, P De Pauw, P N Jørgensen, C Van Schravendijk, O Ubani, K Decochez, E Vandemeulebroucke, I Weets, R Mao, D G Pipeleers and 2 more

Open access · bronzeAbstract read
PubMed Publisher
In one paragraph

Article in Diabetologia, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed, 2 pooled it
1.8field-weighted citation impact, top 15% 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

50 citing papers in PubMed, 2 syntheses or guidelines pooled it, 83 citations in OpenAlex.

  1. Impact of screening programmes for type 1 diabetes in youth: A systematic review and meta-analysis.Diabetic medicine : a journal of the British Diabetic Association · 2026
    Pooled it
  2. Established and emerging biomarkers for the prediction of type 1 diabetes: a systematic review.Translational research : the journal of laboratory and clinical medicine · 2014
    Pooled it
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  18. The Impact of Different Insulin-Related Measures on the Risk of Prediabetes Among the Chinese Han Population.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2021
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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

12 authors at 2 institutions in 2 countries.

I TruyenDiabetes Research Center, Brussels Free University-VUB, Brussels, Belgium.
P De Pauw
P N Jørgensen
C Van Schravendijk
O Ubani
K Decochez
E Vandemeulebroucke
I Weets
R Mao
D G Pipeleers
F K Gorus
Belgian Diabetes Registry
Center for Beta Cell Therapy in Diabetes · BENovo Nordisk (Denmark) · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aims/hypothesisWe investigated whether random proinsulin levels and proinsulin:C-peptide ratio (PI:C) complement immune and genetic markers for identifying relatives at high risk of type 1 diabetes. MATERIALS AND

methodsDuring an initial sampling, random glycaemia, proinsulin, PI:C and HLA DQ genotype were determined in 561 non-diabetic first-degree relatives who had been positive for islet autoantibodies on one or more occasions and in 561 age- and sex-matched persistently antibody-negative relatives.

resultsDuring follow-up (median 62 months), 46 relatives with antibodies at entry developed type 1 diabetes. At baseline, antibody-positive relatives (n=338) had higher PI:C values (p<0.001) than antibody-negative subjects with (n=223) or subjects without (n=561) later seroconversion. Proinsulin and PI:C were graded according to risk of diabetes as expressed by positivity for (multiple) antibodies or IA-2 antibodies, especially in persons carrying the high-risk HLA DQ2/DQ8 genotype and in prediabetic relatives. In the presence of multiple or IA-2 antibodies, a PI:C ratio exceeding percentile 66 of all antibody-negative relatives at entry (n=784) conferred a 5-year diabetes risk of 50% and 68%, respectively (p<0.001 vs 13% for same antibody status with PI:C<percentile 66). Cox regression analysis confirmed random PI:C as an independent predictor of the risk of diabetes (p< or =0.001). CONCLUSIONS/

interpretationRandom proinsulin and PI:C represent dynamic markers of the state of beta cell function that complement immune markers in identifying relatives who are at homogeneously high risk of contracting type 1 diabetes and are therefore eligible for secondary prevention trials.

Indexed as

AdultAutoantibodiesChildChild, PreschoolC-PeptideDiabetes Mellitus, Type 1FemaleHLA-DQ AntigensHormonesHumansInfantInfant, NewbornIslets of LangerhansMaleMiddle AgedPedigreeAutoantibodiesC-PeptideHLA-DQ AntigensHormonesICA512 autoantibodyProinsulin

Identifiers

PMID16211374
OpenAlexW2005132190

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.