Evidence map›Paper›PMID 27907006›Full record

ArticlePloS one2016

Prediction of Impending Type 1 Diabetes through Automated Dual-Label Measurement of Proinsulin:C-Peptide Ratio.

Annelien Van Dalem, Simke Demeester, Eric V Balti, Bart Keymeulen, Pieter Gillard, Bruno Lapauw, Christophe De Block, Pascale Abrams, Eric Weber, Ilse Vermeulen and 5 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.1field-weighted citation impact, top 11% 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

16 citing papers in PubMed, 20 citations in OpenAlex.

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  9. The role of beta-cell dysfunction in early type 1 diabetes.Current opinion in endocrinology, diabetes, and obesity · 2020
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 7 institutions in 1 country.

Annelien Van DalemDiabetes Research Center, Brussels Free University-VUB, Brussels, Belgium.
Simke DemeesterDiabetes Research Center, Brussels Free University-VUB, Brussels, Belgium.
Eric V BaltiDiabetes Research Center, Brussels Free University-VUB, Brussels, Belgium.
Bart KeymeulenDiabetes Research Center, Brussels Free University-VUB, Brussels, Belgium.
Pieter GillardDiabetes Research Center, Brussels Free University-VUB, Brussels, Belgium.
Bruno LapauwDepartment of Endocrinology, Universitair Ziekenhuis Gent, Ghent, Belgium.
Christophe De BlockDepartment of Endocrinology, Diabetology and Metabolism, Universitair Ziekenhuis Antwerpen, Edegem, Belgium.
Pascale AbramsDepartment of Endocrinology and Diabetology, GZA Campus Sint Augustinus en Sint Vincentius, Wilrijk-Antwerp, Belgium.
Eric WeberDepartment of Endocrinology and Diabetology, Clinique du Sud Luxembourg et Clinique Saint Joseph, Arlon, Belgium.
Ilse VermeulenDiabetes Research Center, Brussels Free University-VUB, Brussels, Belgium.
Pieter De PauwDiabetes Research Center, Brussels Free University-VUB, Brussels, Belgium.
Daniël PipeleersDiabetes Research Center, Brussels Free University-VUB, Brussels, Belgium.
Ilse WeetsDiabetes Research Center, Brussels Free University-VUB, Brussels, Belgium.
Frans K GorusDiabetes Research Center, Brussels Free University-VUB, Brussels, Belgium.
Belgian Diabetes Registry
Center for Beta Cell Therapy in Diabetes · BEUniversitair Ziekenhuis Brussel · BEAntwerp University Hospital · BEClinique Saint-Joseph · BEGhent University Hospital · BEGZA Ziekenhuizen Campus Sint-Augustinus · BEUniversitair Ziekenhuis Leuven · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe hyperglycemic clamp test, the gold standard of beta cell function, predicts impending type 1 diabetes in islet autoantibody-positive individuals, but the latter may benefit from less invasive function tests such as the proinsulin:C-peptide ratio (PI:C). The present study aims to optimize precision of PI:C measurements by automating a dual-label trefoil-type time-resolved fluorescence immunoassay (TT-TRFIA), and to compare its diagnostic performance for predicting type 1 diabetes with that of clamp-derived C-peptide release.

methodsBetween-day imprecision (n = 20) and split-sample analysis (n = 95) were used to compare TT-TRFIA (AutoDelfia, Perkin-Elmer) with separate methods for proinsulin (in-house TRFIA) and C-peptide (Elecsys, Roche). High-risk multiple autoantibody-positive first-degree relatives (n = 49; age 5-39) were tested for fasting PI:C, HOMA2-IR and hyperglycemic clamp and followed for 20-57 months (interquartile range).

resultsTT-TRFIA values for proinsulin, C-peptide and PI:C correlated significantly (r2 = 0.96-0.99; P<0.001) with results obtained with separate methods. TT-TRFIA achieved better between-day %CV for PI:C at three different levels (4.5-7.1 vs 6.7-9.5 for separate methods). In high-risk relatives fasting PI:C was significantly and inversely correlated (rs = -0.596; P<0.001) with first-phase C-peptide release during clamp (also with second phase release, only available for age 12-39 years; n = 31), but only after normalization for HOMA2-IR. In ROC- and Cox regression analysis, HOMA2-IR-corrected PI:C predicted 2-year progression to diabetes equally well as clamp-derived C-peptide release.

conclusionsThe reproducibility of PI:C benefits from the automated simultaneous determination of both hormones. HOMA2-IR-corrected PI:C may serve as a minimally invasive alternative to the more tedious hyperglycemic clamp test.

Indexed as

AdolescentAdultAutoantibodiesChildChild, PreschoolC-PeptideDiabetes Mellitus, Type 1FastingFemaleGlucose Tolerance TestGlycated HemoglobinHumansHyperglycemiaInsulinInsulin ResistanceInsulin-Secreting CellsAutoantibodiesC-PeptideGlycated Hemoglobinhemoglobin A1c protein, humanInsulinProinsulin

Identifiers

PMID27907006
PMCPMC5131964
OpenAlexW2559404202

What OpenQuestion holds

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LicenceCC BY
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.