Evidence map›Paper›PMID 25985749›Full record

ArticleDiabetologia2015

OGTT and random plasma glucose in the prediction of type 1 diabetes and time to diagnosis.

Olli Helminen, Susanna Aspholm, Tytti Pokka, Jorma Ilonen, Olli Simell, Riitta Veijola, Mikael Knip

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In one paragraph

Article in Diabetologia, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 4 pooled it
3.2field-weighted citation impact, top 8% 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

32 citing papers in PubMed, 4 syntheses or guidelines pooled it, 55 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
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  8. Beyond Stages: Predicting Individual Time Dependent Risk for Type 1 Diabetes.The Journal of clinical endocrinology and metabolism · 2024
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  16. Prediction of the Duration to Next Admission for an Acute Affective Episode in Patients with Bipolar I Disorder.Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2023
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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

7 authors at 6 institutions in 1 country.

Olli HelminenDepartment of Pediatrics, PEDEGO Research Group, Medical Research Center, Oulu University Hospital and University of Oulu, PO Box 5000, FIN-90014, Oulu, Finland, olli.helminen@oulu.fi.
Susanna Aspholm
Tytti Pokka
Jorma Ilonen
Olli Simell
Riitta Veijola
Mikael Knip
University of Oulu · FIOulu University Hospital · FITampere University · FITampere University Hospital · FIUniversity of Eastern Finland · FIUniversity of Turku · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aims/hypothesisWe assessed the utility of the OGTT and random plasma glucose concentrations in predicting the time to diagnosis of type 1 diabetes.

methodsA population-derived cohort of 14,876 newborns with HLA-conferred risk of type 1 diabetes were invited to regular follow-up for islet autoantibodies. When two or more autoantibodies were detected, an OGTT was performed once a year and random plasma glucose analysed twice a year. During follow-up, 567 children developed multiple autoantibodies, 255 (45%) of whom were diagnosed with type 1 diabetes, while 312 remained non-diabetic by December 2011.

resultsImpaired fasting glucose (IFG) and impaired glucose tolerance (IGT) were risk factors for type 1 diabetes (HR 3.2 [95% CI 1.5, 7.0] and 8.3 [95% CI 6.0, 11.5], respectively). When a random plasma glucose value ≥ 7.8 mmol/l was observed, the HR for diabetes was 6.0 (95% CI 4.3, 8.6). The median time to diagnosis after the detection of IFG was 5.2 years (interquartile range [IQR] 3.4, 6.3); after IGT, 0.7 years (IQR 0.3, 1.9); and, after a random plasma glucose ≥ 7.8 mmol/l, 1.0 years (IQR 0.3, 1.5). In a retrospective analysis, both OGTT-derived 2 h plasma glucose and random plasma glucose started to increase 1.5 years before diagnosis (p < 0.001 and p = 0.004, respectively). CONCLUSIONS/

interpretationDysglycaemia detected in an OGTT or based on random plasma glucose is a useful marker in the prediction of time to onset of type 1 diabetes in high-risk children. Random plasma glucose is a simple and low-cost measurement with comparable predictive characteristics to that of OGTT-derived 2 h glucose.

Indexed as

Glucose Tolerance TestAdolescentAutoantibodiesBiomarkersBlood GlucoseChildChild, PreschoolDiabetes Mellitus, Type 1FemaleGlucose IntoleranceHumansInfantInfant, NewbornMaleRetrospective StudiesTime FactorsAutoantibodiesBiomarkersBlood Glucose

Identifiers

PMID25985749
OpenAlexW216335904

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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.