ArticleThe Journal of clinical endocrinology and metabolism2023
Risk Estimation of Gestational Diabetes Mellitus in the First Trimester.
Article in The Journal of clinical endocrinology and metabolism, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 16 citations in OpenAlex.
- A Narrative Review on Abnormalities in the Hemostatic System in Diabetes Mellitus: Pathophysiology, Clinical Implications, and Therapeutics.Life (Basel, Switzerland) · 2026Review
- Perinatal HPA axis regulation and offspring neuropsychiatric development: mechanisms, developmental trajectories, and clinical implications.Frontiers in endocrinology · 2026Review
- Assessment of Maternal-Fetal Redox Balance in Gestational Diabetes Mellitus: A Cross-Sectional Study.Journal of clinical medicine · 2025Article
- Untreated women with first trimester fasting glycaemia 92-125 mg/dL and risk of gestational diabetes mellitus in the 24-28th week OGTT: prevalence and predictors.Acta diabetologica · 2025Article
- Association of Circulating GDF-15 with Fetal Growth in Gestational Diabetes.Journal of clinical medicine · 2025Article
- A critique of measurement of defective insulin secretion and insulin sensitivity as a precision approach to gestational diabetes.Diabetologia · 2025Observational
- Factors influencing dietary compliance among patients with gestational diabetes mellitus: a retrospective analysis.American journal of translational research · 2025Article
- Elevated pre-pregnancy testosterone is associated with gestational diabetes mellitus: an observational cohort study.Frontiers in endocrinology · 2025Observational
- Article
- The early prediction of gestational diabetes mellitus by machine learning models.BMC pregnancy and childbirth · 2024Article
- Role of Oxidative Stress and Inflammation in Gestational Diabetes Mellitus.Antioxidants (Basel, Switzerland) · 2023Review
Corrections and comments
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
contextThere is no early, first-trimester risk estimation available to predict later (gestational week 24-28) gestational diabetes mellitus (GDM); however, it would be beneficial to start an early treatment to prevent the development of complications.
objectiveWe aimed to identify early, first-trimester prediction markers for GDM.
methodsThe present case-control study is based on the study cohort of a Hungarian biobank containing biological samples and follow-up data from 2545 pregnant women. Oxidative-nitrative stress-related parameters, steroid hormone, and metabolite levels were measured in the serum/plasma samples collected at the end of the first trimester from 55 randomly selected control and 55 women who developed GDM later.
resultsPregnant women who developed GDM later during the pregnancy were older and had higher body mass index. The following parameters showed higher concentration in their serum/plasma samples: fructosamine, total antioxidant capacity, testosterone, cortisone, 21-deoxycortisol; soluble urokinase plasminogen activator receptor, dehydroepiandrosterone sulfate, dihydrotestosterone, cortisol, and 11-deoxycorticosterone levels were lower. Analyzing these variables using a forward stepwise multivariate logistic regression model, we established a GDM prediction model with a specificity of 96.6% and sensitivity of 97.5% (included variables: fructosamine, cortisol, cortisone, 11-deoxycorticosterone, SuPAR).
conclusionBased on these measurements, we accurately predict the development of later-onset GDM (24th-28th weeks of pregnancy). Early risk estimation provides the opportunity for targeted prevention and the timely treatment of GDM. Prevention and slowing the progression of GDM result in a lower lifelong metabolic risk for both mother and offspring.
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Registered trials
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 Socratic graph.