Evidence map›Paper›PMID 30445509›Full record

Observational studyThe Journal of clinical endocrinology and metabolism2019

1-Hour Post-OGTT Glucose Improves the Early Prediction of Type 2 Diabetes by Clinical and Metabolic Markers.

Gopal Peddinti, Michael Bergman, Tiinamaija Tuomi, Leif Groop

Open access · hybridAbstract readObservational Study
In one paragraph

Observational study in The Journal of clinical endocrinology and metabolism, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 9% 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

37 citing papers in PubMed, 1 synthesis or guideline pooled it, 71 citations in OpenAlex.

  1. Pooled it
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  7. Glucose curve morphology and peak time as biomarkers of metabolic health.American journal of physiology. Endocrinology and metabolism · 2026
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  16. Validation of Clinical Risk Model to Predict Future Diabetes.Journal of Korean medical science · 2024
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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

4 authors at 2 institutions in 2 countries.

Gopal PeddintiVTT Technical Research Center of Finland Ltd, Espoo, Finland.
Michael BergmanNYU School of Medicine, Department of Medicine, Division of Diabetes, Endocrinology and Metabolism, NYU Langone Diabetes Prevention Program, New York, New York.
Tiinamaija TuomiFolkhälsan Research Center, Helsinki, Finland.
Leif GroopFolkhälsan Research Center, Helsinki, Finland.
University of Helsinki · FIVTT Technical Research Centre of Finland · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextEarly prediction of dysglycemia is crucial to prevent progression to type 2 diabetes. The 1-hour postload plasma glucose (PG) is reported to be a better predictor of dysglycemia than fasting plasma glucose (FPG), 2-hour PG, or glycated hemoglobin (HbA1c).

objectiveTo evaluate the predictive performance of clinical markers, metabolites, HbA1c, and PG and serum insulin (INS) levels during a 75-g oral glucose tolerance test (OGTT). DESIGN AND

settingWe measured PG and INS levels at 0, 30, 60, and 120 minutes during an OGTT in 543 participants in the Botnia Prospective Study, 146 of whom progressed to type 2 diabetes within a 10-year follow-up period. Using combinations of variables, we evaluated 1527 predictive models for progression to type 2 diabetes.

resultsThe 1-hour PG outperformed every individual marker except 30-minute PG or mannose, whose predictive performances were lower but not significantly worse. HbA1c was inferior to 1-hour PG according to DeLong test P value but not false discovery rate. Combining the metabolic markers with PG measurements and HbA1c significantly improved the predictive models, and mannose was found to be a robust metabolic marker.

conclusionsThe 1-hour PG, alone or in combination with metabolic markers, is a robust predictor for determining the future risk of type 2 diabetes, outperforms the 2-hour PG, and is cheaper to measure than metabolites. Metabolites add to the predictive value of PG and HbA1c measurements. Shortening the standard 75-g OGTT to 1 hour improves its predictive value and clinical usability.

Indexed as

Models, BiologicalAdultBiomarkersBlood GlucoseDiabetes Mellitus, Type 2False Positive ReactionsFastingFemaleFinlandFollow-Up StudiesGlucose Tolerance TestGlycated HemoglobinHumansInsulinMaleMetabolomicsBiomarkersBlood GlucoseGlycated HemoglobinInsulin

Identifiers

PMID30445509
PMCPMC6382453
OpenAlexW2900669171

What OpenQuestion holds

Textmetadata
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.