Observational studyFrontiers in endocrinology2023
Establishment and validation of a predictive nomogram for gestational diabetes mellitus during early pregnancy term: A retrospective study.
Observational study in Frontiers in endocrinology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Prediction of Gestational Diabetes Mellitus: A Nomogram Model Incorporating Lifestyle, Nutrition and Health Literacy Factors.Nutrients · 2025Article
- A nomogram to predict gestational diabetes mellitus: a multicenter retrospective study.Journal of molecular cell biology · 2025Article
- GC vitamin D-binding protein gene functional genetic variants and gestational diabetes mellitus risk and prediction.Scientific reports · 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
- Fibrinogen-to-albumin ratio predicts mortality in patients with diabetes mellitus and atherosclerotic cardiovascular disease.Frontiers in endocrinology · 2025Article
- Positive association between fibrinogen-to-albumin ratio and preeclampsia risk in pregnant women of advanced maternal age: implications for clinical risk assessment.Frontiers in cardiovascular medicine · 2025Article
- Biochemical Markers in the Prediction of Pregnancy Outcome in Gestational Diabetes Mellitus.Medicina (Kaunas, Lithuania) · 2024Article
- Association and function analysis of genetic variants and the risk of gestational diabetes mellitus in a southern Chinese population.Frontiers in endocrinology · 2024Article
- Development of machine learning models to predict gestational diabetes risk in the first half of pregnancy.BMC pregnancy and childbirth · 2023Article
- Integration of clinical demographics and routine laboratory analysis parameters for early prediction of gestational diabetes mellitus in the Chinese population.Frontiers in endocrinology · 2023Article
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8 authors.
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Abstract
Objective: This study aims to develop and evaluate a predictive nomogram for early assessment risk factors of gestational diabetes mellitus (GDM) during early pregnancy term, so as to help early clinical management and intervention. Methods: A total of 824 pregnant women at Zhongnan Hospital of Wuhan University and Maternal and Child Health Hospital of Hubei Province from 1 February 2020 to 30 April 2020 were enrolled in a retrospective observational study and comprised the training dataset. Routine clinical and laboratory information was collected; we applied least absolute shrinkage and selection operator (LASSO) logistic regression and multivariate ROC risk analysis to determine significant predictors and establish the nomogram, and the early pregnancy files (gestational weeks 12-16, Results: We conducted LASSO analysis and multivariate regression to establish a GDM nomogram during the early pregnancy term; the five selected risk predictors are as follows: age, blood urea nitrogen (BUN), fibrinogen-to-albumin ratio (FAR), blood urea nitrogen-to-creatinine ratio (BUN/Cr), and blood urea nitrogen-to-albumin ratio (BUN/ALB). The calibration curve and DCA present optimal predictive power. DCA demonstrates that the nomogram could be applied clinically. Conclusion: An effective nomogram that predicts GDM should be established in order to help clinical management and intervention at the early gestational stage.
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