ArticleBMC pregnancy and childbirth2021
Establishment of a nomogram model to predict macrosomia in pregnant women with gestational diabetes mellitus.
Article in BMC pregnancy and childbirth, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 21 citations in OpenAlex.
- Prediction Models for Maternal and Offspring Short- and Long-Term Outcomes Following Gestational Diabetes: A Systematic Review.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025Pooled it
- Machine Learning-Based Prediction of Fetal Macrosomia Using Maternal: A Pilot Study.Diagnostics (Basel, Switzerland) · 2026Article
- Polyhydramnios at Term in Gestational Diabetes: Should We Be Concerned?Children (Basel, Switzerland) · 2025Article
- Fetal Birth Weight Prediction in the Third Trimester: Retrospective Cohort Study and Development of an Ensemble Model.JMIR pediatrics and parenting · 2025Article
- Article
- Developing and validating a predictive model of delivering large-for-gestational-age infants among women with gestational diabetes mellitus.World journal of diabetes · 2024Article
- Refining the diagnosis of gestational diabetes mellitus: a systematic review and meta-analysis.Communications medicine · 2023Article
- Chromosome 1p36 candidate gene ZNF436 predicts the prognosis of neuroblastoma: a bioinformatic analysis.Italian journal of pediatrics · 2023Article
- Development and validation of a nomogram for predicting ongoing pregnancy in single vitrified-warmed blastocyst embryo transfer cycles.Frontiers in endocrinology · 2023Article
- A predictive model of macrosomic birth based upon real-world clinical data from pregnant women.BMC pregnancy and childbirth · 2022Observational
- A nomogram based on HBeAg, AST, and age to predict non-minimal liver inflammation in CHB patients with ALT <80 U/L.Frontiers in immunology · 2022Article
- Development and validation of a new predictive model for macrosomia at late-term pregnancy: A prospective study.Frontiers in endocrinology · 2022Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
aimTo establish a nomogram model to predict the risk of macrosomia in pregnant women with gestational diabetes mellitus in China.
methodsWe retrospectively collected the medical records of 783 pregnant women with gestational diabetes who underwent prenatal examinations and delivered at the Affiliated Hospital of Qingdao University from October 2019 to October 2020. The pregnant women were randomly divided into two groups in a 4:1 ratio to generate and validate the model. The independent risk factors for macrosomia in pregnant women with gestational diabetes mellitus were analyzed by multivariate logistic regression, and the nomogram model to predict the risk of macrosomia in pregnant women with gestational diabetes mellitus was established and verified by R software.
resultsLogistic regression analysis showed that prepregnancy body mass index, weight gain during pregnancy, fasting plasma glucose, triglycerides, biparietal diameter and amniotic fluid index were independent risk factors for macrosomia (P < 0.05). The areas under the ROC curve for internal and external validation of the model were 0.813 (95 % confidence interval 0.754-0.862) and 0.903 (95 % confidence interval 0.588-0.967), respectively. The calibration curve was a straight line with a slope close to 1.
conclusionsIn this study, we constructed a nomogram model to predict the risk of macrosomia in pregnant women with gestational diabetes mellitus. The model has good discrimination and calibration abilities, which can help clinical healthcare staff accurately predict macrosomia in pregnant women with gestational diabetes mellitus.
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