Observational studyJournal of diabetes research2017
Selective Screening Strategies for Gestational Diabetes: A Prospective Cohort Observational Study.
Observational study in Journal of diabetes research, 2017. 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.
- Accuracy of clinical risk factor-based models as a screening test for detecting gestational diabetes mellitus in a low-resource setting.Archives of endocrinology and metabolism · 2026Article
- Triglyceride-glucose index as predictor of gestational diabetes mellitus in early pregnancy: a prospective cohort study.Frontiers in endocrinology · 2026Article
- 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
- Hyperglycaemia in pregnancy: knowledge and correlates amongst antenatal care providers in healthcare facilities in Jos, Nigeria.African health sciences · 2023Article
- Predictive value of first-trimester GPR120 levels in gestational diabetes mellitus.Frontiers in endocrinology · 2023Article
- Simple method for identification of women at risk of gestational diabetes mellitus in Arusha urban, Tanzania.BMC pregnancy and childbirth · 2022Article
- A model for predicting gestational diabetes mellitus in early pregnancy: a prospective study in Thailand.Obstetrics & gynecology science · 2022Article
- AST-to-ALT ratio in the first trimester and the risk of gestational diabetes mellitus.Frontiers in endocrinology · 2022Article
- Article
- Nomogram for prediction of gestational diabetes mellitus in urban, Chinese, pregnant women.BMC pregnancy and childbirth · 2020Article
- Prevalence of hyperglycemia in pregnancy and influence of body fat on development of hyperglycemia in pregnancy among pregnant women in urban areas of Arusha region, Tanzania.BMC pregnancy and childbirth · 2019Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimWe aimed to develop a prediction model for the diagnosis of gestational diabetes and to evaluate the performance of published prediction tools on our population.
methodsWe conducted a cohort study on nondiabetic women < 26 weeks gestation at a level 1 clinic in Johannesburg, South Africa. At recruitment, participants completed a questionnaire and random basal glucose and HbA1c were evaluated. A 75 g 2-hour OGTT was scheduled between 24-28 weeks gestation, as per FIGO guidelines. A score was derived using multivariate logistic regression. Published scoring systems were tested by deriving ROC curves.
resultsIn 554 women, RBG, BMI, and previous baby ≥ 4000 g were significant risk factors included for GDM, which were used to derive a nomogram-based score. The logistic regression model for prediction of GDM had
conclusionWe propose a nomogram-based score that can be used at first antenatal visit to identify women at high risk of GDM.
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