Can I read Models Predicting Postpartum Glucose Intolerance Among Women with a History of Gestational Diabetes Mellitus: a Systematic Review on EtoBox?
Models Predicting Postpartum Glucose Intolerance Among Women with a History of Gestational Diabetes Mellitus: a Systematic Review by Yitayeh Belsti; Lisa Moran; Demelash Woldeyohannes Handiso; Vincent Versace; Rebecca Goldstein; Aya Mousa; Helena Teede; Joanne Enticott is a Medicine article available to read on EtoBox.
What is Models Predicting Postpartum Glucose Intolerance Among Women with a History of Gestational Diabetes Mellitus: a Systematic Review about?
## Purpose of Review Despite the crucial role that prediction models play in guiding early risk stratification and timely intervention to prevent type 2 diabetes after gestational diabetes mellitus (GDM), their use is not widespread in clinical practice. The purpose of this review is to examine the methodological characteristics and quality of existing prognostic models predicting postpartum glucose intolerance following GDM. Recent Findings. A systematic review was conducted on relevant risk prediction models, resulting in 15 eligible publications from research groups in various countries. Our review found that traditional statistical models were more common than machine learning models, and only two were assessed to have a low risk of bias. Seven were internally validated, but none were externally validated. Model discrimination and calibration were done in 13 and four studies, respectively. Various predictors were identified, including body mass index, fasting glucose concentration during pregnancy, maternal age, family history of diabetes, biochemical variables, oral glucose tolerance test, use of insulin in pregnancy, postnatal fasting glucose level, genetic risk factors, hemo
Who reads Models Predicting Postpartum Glucose Intolerance Among Women with a History of Gestational Diabetes Mellitus: a Systematic Review?
It is typically read by researchers, students, and practitioners in Medicine.
- Author
- Yitayeh Belsti; Lisa Moran; Demelash Woldeyohannes Handiso; Vincent Versace; Rebecca Goldstein; Aya Mousa; Helena Teede; Joanne Enticott
- Publisher
- Springer Science and Business Media LLC
- Published
- 2023
- Language
- EN
- Field
- Medicine (Health Sciences)