ArticleObstetric medicine2018
Visceral fat mass as a novel risk factor for predicting gestational diabetes in obese pregnant women.
Article in Obstetric medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.
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Who cites it
17 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Association of body composition in early pregnancy with gestational diabetes mellitus: A meta-analysis.PloS one · 2022Pooled it
- Gestational Diabetes Mellitus in Europe: A Systematic Review and Meta-Analysis of Prevalence Studies.Frontiers in endocrinology · 2021Pooled it
- Prognostic models versus single risk factor approach in first-trimester selective screening for gestational diabetes mellitus: a prospective population-based multicentre cohort study.BJOG : an international journal of obstetrics and gynaecology · 2021Trial
- Artificial Intelligence in Gestational Diabetes Care: A Systematic Review.Journal of diabetes science and technology · 2025Review
- Prepregnancy body mass index and visceral fat exhibit divergent associations with metabolic factors in pregnant women with obesity: A Norwegian cohort study.Acta obstetricia et gynecologica Scandinavica · 2024Article
- Article
- The Association Between Maternal Body Fat Percentage and the Risk of Gestational Diabetes Mellitus.Cureus · 2024Article
- Glucose metabolism in gestational diabetes and their relationship with fat mass / muscle mass index.European journal of obstetrics & gynecology and reproductive biology: X · 2024Article
- Maternal Visceral Fat in Prediction of Gestational Diabetes Mellitus.Journal of clinical medicine · 2024Article
- MIDO GDM: an innovative artificial intelligence-based prediction model for the development of gestational diabetes in Mexican women.Scientific reports · 2023Article
- Article
- Machine learning applied in maternal and fetal health: a narrative review focused on pregnancy diseases and complications.Frontiers in endocrinology · 2023Review
- Towards an explainable clinical decision support system for large-for-gestational-age births.PloS one · 2023Article
- Gestational potential space hypothesis: Evolutionary explanation of human females body fat redistribution.Evolution, medicine, and public health · 2021Article
- Comparison of Multivariable Logistic Regression and Other Machine Learning Algorithms for Prognostic Prediction Studies in Pregnancy Care: Systematic Review and Meta-Analysis.JMIR medical informatics · 2020Review
- The Body Composition in Early Pregnancy is Associated with the Risk of Development of Gestational Diabetes Mellitus Late During the Second Trimester.Diabetes, metabolic syndrome and obesity : targets and therapy · 2020Article
- Comparison of Machine Learning Methods and Conventional Logistic Regressions for Predicting Gestational Diabetes Using Routine Clinical Data: A Retrospective Cohort Study.Journal of diabetes research · 2020Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo develop a model to predict gestational diabetes mellitus incorporating classical and a novel risk factor, visceral fat mass.
methodsThree hundred two obese non-diabetic pregnant women underwent body composition analysis at booking by bioimpedance analysis. Of this cohort, 72 (24%) developed gestational diabetes mellitus. Principal component analysis was initially performed to identify possible clustering of the gestational diabetes mellitus and non-GDM groups. A machine learning algorithm was then applied to develop a GDM predictive model utilising random forest and decision tree modelling.
resultsThe predictive model was trained on 227 samples and validated using an independent testing subset of 75 samples where the model achieved a validation prediction accuracy of 77.53%. According to the decision tree developed, visceral fat mass emerged as the most important variable in determining the risk of gestational diabetes mellitus.
conclusionsWe present a model incorporating visceral fat mass, which is a novel risk factor in predicting gestational diabetes mellitus in obese pregnant women.
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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.