ArticleActa diabetologica2020
Estimating the risk of gestational diabetes mellitus based on the 2013 WHO criteria: a prediction model based on clinical and biochemical variables in early pregnancy.
Article in Acta diabetologica, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.
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Who cites it
31 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.
- First-Trimester Prediction Models Based on Maternal Characteristics for Adverse Pregnancy Outcomes: A Systematic Review and Meta-Analysis.BJOG : an international journal of obstetrics and gynaecology · 2025Pooled it
- Maternal AA/EPA Ratio and Triglycerides as Potential Biomarkers of Patients at Major Risk for Pharmacological Therapy in Gestational Diabetes.Nutrients · 2022Trial
- Development and validation of a multidimensional indicator-based risk prediction model for gestational diabetes mellitus: a nested case-control study.BMC endocrine disorders · 2026Article
- First trimester prediction of gestational diabetes mellitus by machine learning in twin pregnancies.Archives of gynecology and obstetrics · 2026Article
- Development and multicenter validation of a novel model for selective screening of gestational diabetes mellitus: the Vietnam gestational diabetes mellitus study.BMC pregnancy and childbirth · 2025Article
- Development and validation of a prediction model for gestational diabetes mellitus risk among women from 8 to 14 weeks of gestation in Western China.BMC pregnancy and childbirth · 2025Article
- Beyond one size fits all: Probing patient choices in gestational diabetes management, from screening to postpartum.Chronic diseases and translational medicine · 2025Review
- Prediction of gestational diabetes mellitus by multiple biomarkers at early gestation.BMC pregnancy and childbirth · 2024Article
- Identifying Predictor Variables for a Composite Risk Prediction Tool for Gestational Diabetes and Hypertensive Disorders of Pregnancy: A Modified Delphi Study.Healthcare (Basel, Switzerland) · 2024Article
- Observational
- Early prediction of gestational diabetes mellitus using maternal demographic and clinical risk factors.BMC research notes · 2024Article
- Prevalence of gestational diabetes mellitus in women with a family history of type 2 diabetes in first- and second-degree relatives.Acta diabetologica · 2023Article
- Assessment of potential risk factors associated with gestational diabetes mellitus: evidence from a Mendelian randomization study.Frontiers in endocrinology · 2023Article
- Predictive value of first-trimester GPR120 levels in gestational diabetes mellitus.Frontiers in endocrinology · 2023Article
- Normal glucose tolerant women with low glycemia during the oral glucose tolerance test have a higher risk to deliver a low birth weight infant.Frontiers in endocrinology · 2023Article
- Development and Validation of Risk Prediction Models for Gestational Diabetes Mellitus Using Four Different Methods.Metabolites · 2022Article
- Cardiovascular Disease-Associated MicroRNAs as Novel Biomarkers of First-Trimester Screening for Gestational Diabetes Mellitus in the Absence of Other Pregnancy-Related Complications.International journal of molecular sciences · 2022Article
- Higher Thyroid fT3-to-fT4 Ratio Is Associated with Gestational Diabetes Mellitus and Adverse Pregnancy Outcomes.Journal of clinical medicine · 2022Article
- Association between early-pregnancy serum C-peptide and risk of gestational diabetes mellitus: a nested case-control study among Chinese women.Nutrition & metabolism · 2022Article
- Optimising Cardiometabolic Risk Factors in Pregnancy: A Review of Risk Prediction Models Targeting Gestational Diabetes and Hypertensive Disorders.Journal of cardiovascular development and disease · 2022Review
Corrections and comments
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Authors and funding
19 authors at 7 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimsWe aimed to develop a prediction model based on clinical and biochemical variables for gestational diabetes mellitus (GDM) based on the 2013 World Health Organization (WHO) criteria.
methodsA total of 1843 women from a Belgian multi-centric prospective cohort study underwent universal screening for GDM. Using multivariable logistic regression analysis, a model to predict GDM was developed based on variables from early pregnancy. The performance of the model was assessed by receiver-operating characteristic (AUC) analysis. To account for over-optimism, an eightfold cross-validation was performed. The accuracy was compared with two validated models (van Leeuwen and Teede).
resultsA history with a first degree relative with diabetes, a history of smoking before pregnancy, a history of GDM, Asian origin, age, height and BMI were independent predictors for GDM with an AUC of 0.72 [95% confidence interval (CI) 0.69-0.76)]; after cross-validation, the AUC was 0.68 (95% CI 0.64-0.72). Adding biochemical variables, a history of a first degree relative with diabetes, a history of GDM, non-Caucasian origin, age, height, weight, fasting plasma glucose, triglycerides and HbA
conclusionsA model based on easy to use variables in early pregnancy has a moderate accuracy to predict GDM based on the 2013 WHO criteria.
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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.