Prediction of gestational diabetes mellitus using clinical and ultrasonographic parameters: development of independent maternal and fetal models
Both maternal and fetal ultrasonographic parameters can serve as effective predictors of GDM when combined with clinical risk factors. These models, which can be easily incorporated into routine second-trimester ultrasound examinations, offer potential for early identification of high-risk patients without additional patient visits or invasive testing.
Authors
- Elif Öcal (ORCID: https://orcid.org/0000-0003-1909-3713)
- Aydın Öçal (ORCID: https://orcid.org/0000-0002-6027-1094)
- Filiz Yarşılıkal Güleroğlu (ORCID: https://orcid.org/0000-0003-4577-3368)
- Ali Çetin (ORCID: https://orcid.org/0000-0002-5767-7894)
- Ömer Gökhan Eyisoy (ORCID: https://orcid.org/0000-0003-0869-4660)
- Sinem Tekin (ORCID: https://orcid.org/0000-0003-4183-6472)
- Cagseli Göksu Ozgün Selcuk
Institutions
- University of Health Science (KH)
- Sağlık Bilimleri Üniversitesi (TR)
- Dünyagöz Hospital (TR)
- University of Health Sciences Antigua (AG)
Publication Details
- Journal
- Journal of Perinatal Medicine
- Published
- 2025-06-13
- DOI
- https://doi.org/10.1515/jpm-2025-0135
- Citations
- 1
- Primary Topic
- Gestational Diabetes Research and Management
- Type
- article
- Field-Weighted Citation Impact
- 2.06