ArticleActa obstetricia et gynecologica Scandinavica2020
External validation and clinical utility of prognostic prediction models for gestational diabetes mellitus: A prospective cohort study.
Article in Acta obstetricia et gynecologica Scandinavica, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.
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Who cites it
12 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- 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
- Machine Learning Prediction Models for Gestational Diabetes Mellitus: Meta-analysis.Journal of medical Internet research · 2022Pooled it
- Association of the GLM7 composite metabolic index with gestational diabetes mellitus in early pregnancy: a secondary analysis of a Korean prospective pregnancy cohort.Frontiers in nutrition · 2026Article
- Predicting gestational diabetes before conception for personalized interpregnancy weight management.Scientific reports · 2025Article
- 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
- Using Machine Learning and Artificial Intelligence to Predict Diabetes Mellitus among Women Population.Current diabetes reviews · 2025Article
- Prediction of Gestational Diabetes Mellitus in the First Trimester of Pregnancy Based on Maternal Variables and Pregnancy Biomarkers.Nutrients · 2023Article
- 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
- Performance of early risk assessment tools to predict the later development of gestational diabetes.European journal of clinical investigation · 2021Article
- Adherence rates to a prediction tool identifying women with an increased gestational diabetes risk: An implementation study.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2021Article
- Implementation of a first-trimester prognostic model to improve screening for gestational diabetes mellitus.BMC pregnancy and childbirth · 2021Article
- External validation and clinical utility of prognostic prediction models for gestational diabetes mellitus: A prospective cohort study.Acta obstetricia et gynecologica Scandinavica · 2020Article
Corrections and comments
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Authors and funding
11 authors.
Funding
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Abstract
introductionWe performed an independent validation study of all published first trimester prediction models, containing non-invasive predictors, for the risk of gestational diabetes mellitus. Furthermore, the clinical potential of the best performing models was evaluated. MATERIAL AND
methodsSystemically selected prediction models from the literature were validated in a Dutch prospective cohort using data from Expect Study I and PRIDE Study. The predictive performance of the models was evaluated by discrimination and calibration. Clinical utility was assessed using decision curve analysis. Screening performance measures were calculated at different risk thresholds for the best model and compared with current selective screening strategies.
resultsThe validation cohort included 5260 women. Gestational diabetes mellitus was diagnosed in 127 women (2.4%). The discriminative performance of the 12 included models ranged from 68% to 75%. Nearly all models overestimated the risk. After recalibration, agreement between the observed outcomes and predicted probabilities improved for most models.
conclusionsThe best performing prediction models showed acceptable performance measures and may enable more personalized medicine-based antenatal care for women at risk of developing gestational diabetes mellitus compared with current applied strategies.
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