ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2021
Estimating the Risk of Insulin Requirement in Women Complicated by Gestational Diabetes Mellitus: A Clinical Nomogram.
Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 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
- Association between weight/body mass index and insulin dose requirements in gestational diabetes: a retrospective cohort study.BMJ open diabetes research & care · 2026Article
- Insulin resistance-induced mitochondrial dysfunction and pyroptosis in trophoblasts: protective role of metformin.BMC pregnancy and childbirth · 2025Article
- Maternal and clinical predictors of insulin requirement in gestational diabetes mellitus (GDM): A cross-sectional study.Bioinformation · 2025Article
- Predicting insulin use among women with gestational diabetes diagnosed in oral glucose tolerance test.BMC pregnancy and childbirth · 2023Article
- Well-controlled gestational diabetes mellitus without pharmacologic therapy decelerates weight gain in infancy.Frontiers in endocrinology · 2022Article
- Gestational Diabetes Mellitus: Clinical Characteristics and Perinatal Outcomes in a Multiethnic Population of North Italy.International journal of endocrinology · 2021Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThis study sought to develop a nomogram for the prediction of insulin requirement in a Chinese population with gestational diabetes mellitus (GDM). MATERIALS AND
methodsWe performed a retrospective cohort study involving 626 Chinese women with GDM, of whom 188 were treated with insulin. "Least absolute shrinkage and selection operator" regression was used to optimize the independent predictors of insulin requirement during pregnancies complicated with GDM. Cox proportional hazards regression analysis was performed to establish a prediction model incorporating the selected predictors, and the nomogram was constructed to achieve individual prediction. The C-index, calibration plot and decision curve analysis were used to validate the model.
resultsMaternal age, family history of type 2 diabetes mellitus in a first-degree relative, a prior GDM history, fasting plasma glucose, hemoglobin A1c, gestational age, and body mass index values at the time of GDM diagnosis were the risk factors for insulin treatment. The model displayed medium predictive power with a C-index of 0.77 (95% confidence interval: 0.73-0.81) and relatively good calibration accuracies. The decision curve demonstrated a positive net benefit with a threshold between 0.09 and 0.70.
conclusionThe findings suggest that our nomogram, incorporating seven indicators, is useful in predicting individualized survival probabilities of insulin requirement.
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