Evidence map›Paper›PMID 34120352›Full record

ArticleEuropean journal of clinical investigation2021

Characteristics of gestational diabetes subtypes classified by oral glucose tolerance test values.

Grammata Kotzaeridi, Julia Blätter, Daniel Eppel, Ingo Rosicky, Tina Linder, Franziska Geissler, Evelyn A Huhn, Irene Hösli, Andrea Tura, Christian S Göbl

Open access · hybridAbstract read
In one paragraph

Article in European journal of clinical investigation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
5.3field-weighted citation impact, top 4% 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

35 citing papers in PubMed, 49 citations in OpenAlex.

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  9. Maternal and neonatal outcomes with different screening strategies for gestational diabetes mellitus: a retrospective cohort study.The journal of maternal-fetal & neonatal medicine : the official journal of the European Association of Perinatal Medicine, the Federation of Asia and Oceania Perinatal Societies, the International Society of Perinatal Obstetricians · 2025
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  13. Gestational age and models for predicting gestational diabetes mellitus.Metabolomics : Official journal of the Metabolomic Society · 2025
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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

10 authors at 3 institutions in 3 countries.

Grammata KotzaeridiDepartment of Obstetrics and Gynecology, Medical University of Vienna, Vienna, Austria.
Julia BlätterDepartment of Obstetrics and Gynecology, Medical University of Vienna, Vienna, Austria.
Daniel EppelDepartment of Obstetrics and Gynecology, Medical University of Vienna, Vienna, Austria.
Ingo RosickyDepartment of Obstetrics and Gynecology, Medical University of Vienna, Vienna, Austria.
Tina LinderDepartment of Obstetrics and Gynecology, Medical University of Vienna, Vienna, Austria.
Franziska GeisslerDepartment of Obstetrics and Gynecology, University Hospital Basel, Basel, Switzerland.
Evelyn A HuhnDepartment of Obstetrics and Gynecology, University Hospital Basel, Basel, Switzerland.
Irene HösliDepartment of Obstetrics and Gynecology, University Hospital Basel, Basel, Switzerland.
Andrea TuraMetabolic Unit, CNR Institute of Neuroscience, Padova, Italy.
Christian S GöblDepartment of Obstetrics and Gynecology, Medical University of Vienna, Vienna, Austria.ORCID https://orcid.org/0000-0002-3922-7443
Medical University of Vienna · ATUniversity Hospital of Basel · CHNeuroscience Institute · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn clinical practice, gestational diabetes mellitus (GDM) is treated as a homogenous disease but emerging evidence suggests that the diagnosis of GDM possibly comprises different metabolic entities. In this study, we aimed to assess early pregnancy characteristics of gestational diabetes mellitus entities classified according to the presence of fasting and/or post-load hyperglycaemia in the diagnostic oral glucose tolerance test performed at mid-gestation.

methodsIn this prospective cohort study, 1087 pregnant women received a broad risk evaluation and laboratory examination at early gestation and were later classified as normal glucose tolerant (NGT), as having isolated fasting hyperglycaemia (GDM-IFH), isolated post-load hyperglycaemia (GDM-IPH) or combined hyperglycaemia (GDM-CH) according to oral glucose tolerance test results. Participants were followed up until delivery to assess data on pharmacotherapy and pregnancy outcomes.

resultsWomen affected by elevated fasting and post-load glucose concentrations (GDM-CH) showed adverse metabolic profiles already at beginning of pregnancy including a higher degree of insulin resistance as compared to women with normal glucose tolerance and those with isolated defects (especially GDM-IPH). The GDM-IPH subgroup had lower body mass index at early gestation and required glucose-lowering medications less often (28.9%) as compared to GDM-IFH (47.8%, P = .019) and GDM-CH (54.5%, P = .005). No differences were observed in pregnancy outcome data.

conclusionsWomen with fasting hyperglycaemia, especially those with combined hyperglycaemia, showed an unfavourable metabolic phenotype already at early gestation. Therefore, categorization based on abnormal oral glucose tolerance test values provides a practicable basis for clinical risk stratification.

Indexed as

Insulin ResistanceAdultAustriaBlood GlucoseBody Mass IndexCesarean SectionCohort StudiesDiabetes, GestationalFastingFemaleFetal MacrosomiaGlucose Tolerance TestHumansHypoglycemic AgentsIntensive Care Units, NeonatalPregnancyBlood GlucoseHypoglycemic Agentsearly gestationgestational diabetes mellitusheterogeneitypregnancysubtypes

Identifiers

PMID34120352
PMCPMC8459269
OpenAlexW3171220292

What OpenQuestion holds

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LicenceCC BY
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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.