SynthesisPloS one2017
Risk factor screening to identify women requiring oral glucose tolerance testing to diagnose gestational diabetes: A systematic review and meta-analysis and analysis of two pregnancy cohorts.
Synthesis in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers, 4 of them syntheses that pooled it.
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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.
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Who cites it
50 citing papers in PubMed, 4 syntheses or guidelines pooled it, 92 citations in OpenAlex.
- Retinol-binding protein 4 (RBP4) circulating levels and gestational diabetes mellitus: a systematic review and meta-analysis.Frontiers in public health · 2024Pooled it
- Serum levels of adipokines in gestational diabetes: a systematic review.Journal of endocrinological investigation · 2019Pooled it
- Guideline
- Screening for gestational diabetes mellitus based on different risk profiles and settings for improving maternal and infant health.The Cochrane database of systematic reviews · 2017Pooled it
- Do nuclear magnetic resonance (NMR)-based metabolomics improve the prediction of pregnancy-related disorders? Findings from a UK birth cohort with independent validation.BMC medicine · 2020Trial
- First-Trimester Gestational Diabetes Mellitus Risk Prediction with Machine Learning Techniques: Results from the BORN2020 Cohort Study.Journal of clinical medicine · 2026Article
- Nomogram incorporating TyG index and TG/HDL ratio for early prediction of gestational diabetes mellitus.BMC pregnancy and childbirth · 2026Article
- Synergistic use of 1,5-AG and HbA1c for early prediction of gestational diabetes: capturing BMI-dependent glycemic phenotypes.Archives of gynecology and obstetrics · 2026Article
- Low early-pregnancy serum lipoprotein(a) as an independent associated factor for gestational diabetes mellitus: a retrospective cohort study.Frontiers in endocrinology · 2026Article
- Fasting plasma glucose performs better than glycated hemoglobin and glycated albumin for diagnosing gestational diabetes.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2026Article
- Hyperglycaemia in pregnancy: the role of ethnicity and geography in risk and outcomes.Diabetologia · 2025Review
- The recurrence risk of gestational diabetes according to the number of abnormal values in the oral glucose tolerance test.Acta obstetricia et gynecologica Scandinavica · 2025Article
- To neutrally offer or strongly recommend? General practitioners' perspectives on screening for gestational diabetes according to the national guideline in Norway.Scandinavian journal of primary health care · 2024Article
- The early prediction of gestational diabetes mellitus by machine learning models.BMC pregnancy and childbirth · 2024Article
- Exploring Structural Uncertainty in Cost-Effectiveness Modeling of Gestational Diabetes Screening: An Application Example from Norway.Medical decision making : an international journal of the Society for Medical Decision Making · 2024Article
- Review of Genetic and Artificial Intelligence approaches to improving Gestational Diabetes Mellitus Screening and Diagnosis in sub-Saharan Africa.The Yale journal of biology and medicine · 2024Review
- Prediction of Gestational Diabetes Mellitus in the First Trimester of Pregnancy Based on Maternal Variables and Pregnancy Biomarkers.Nutrients · 2023Article
- Risk Estimation of Gestational Diabetes Mellitus in the First Trimester.The Journal of clinical endocrinology and metabolism · 2023Article
- Prediction of gestational diabetes using deep learning and Bayesian optimization and traditional machine learning techniques.Medical & biological engineering & computing · 2023Article
- Obstetric and neonatal complications in large for gestational age pregnancy with late gestational diabetesJournal of the Turkish German Gynecological Association · 2023Article
Corrections and comments
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Authors and funding
7 authors at 5 institutions in 2 countries.
Funding
Abstract
backgroundEasily identifiable risk factors including: obesity and ethnicity at high risk of diabetes are commonly used to indicate which women should be offered the oral glucose tolerance test (OGTT) to diagnose gestational diabetes (GDM). Evidence regarding these risk factors is limited however. We conducted a systematic review (SR) and meta-analysis and individual participant data (IPD) analysis to evaluate the performance of risk factors in identifying women with GDM.
methodsWe searched MEDLINE, Medline in Process, Embase, Maternity and Infant Care and the Cochrane Central Register of Controlled Trials (CENTRAL) up to August 2016 and conducted additional reference checking. We included observational, cohort, case-control and cross-sectional studies reporting the performance characteristics of risk factors used to identify women at high risk of GDM. We had access to IPD from the Born in Bradford and Atlantic Diabetes in Pregnancy cohorts, all pregnant women in the two cohorts with data on risk factors and OGTT results were included.
resultsTwenty nine published studies with 211,698 women for the SR and a further 14,103 women from two birth cohorts (Born in Bradford and the Atlantic Diabetes in Pregnancy study) for the IPD analysis were included. Six studies assessed the screening performance of guidelines; six examined combinations of risk factors; eight evaluated the number of risk factors and nine examined prediction models or scores. Meta-analysis using data from published studies suggests that irrespective of the method used, risk factors do not identify women with GDM well. Using IPD and combining risk factors to produce the highest sensitivities, results in low specificities (and so higher false positives). Strategies that use the risk factors of age (>25 or >30) and BMI (>25 or 30) perform as well as other strategies with additional risk factors included.
conclusionsRisk factor screening methods are poor predictors of which pregnant women will be diagnosed with GDM. A simple approach of offering an OGTT to women 25 years or older and/or with a BMI of 25kg/m2 or more is as good as more complex risk prediction models. Research to identify more accurate (bio)markers is needed. Systematic Review Registration: PROSPERO CRD42013004608.
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