Prediction Models for Gestational Diabetes Mellitus: Diagnostic Utility of Clinical and Biochemical Markers
The predictive models highlighted in the study serve as effective screening tools for GDM and may help overcome the limitations of OGTT, particularly in settings where procedural challenges exist.
Authors
- Sunil Kumar Nanda (ORCID: https://orcid.org/0000-0002-2125-0776)
- Mary Daniel (ORCID: https://orcid.org/0000-0002-5458-1926)
- Ramachandran Thiruvengadam (ORCID: https://orcid.org/0000-0002-9195-2730)
- Asha Dinakaran
- Reeta Rajagambeeram
- Manikandan
- Abu R. Srinivasan
Institutions
- Mahatma Gandhi Medical College and Research Institute (IN)
- Pondicherry Institute of Medical Sciences (IN)
- Sri Balaji Vidyapeeth University (IN)
Publication Details
- Journal
- Indian Journal of Endocrinology and Metabolism
- Published
- 2025-05-01
- DOI
- https://doi.org/10.4103/ijem.ijem_497_24
- Citations
- 2
- Primary Topic
- Gestational Diabetes Research and Management
- Type
- article
- Field-Weighted Citation Impact
- 4.11