Parameters of glycemic variability in continuous glucose monitoring as predictors of diabetes: a prospective evaluation in a non-diabetic general population
The metrics obtained by MCG, especially SD, are effective predictors of progression to type 2 diabetes in a non-diabetic population. These findings suggest that glycemic variability is useful for the early identification of subjects at a higher risk of developing diabetes.
Authors
- Santiago Rodríguez-Segade Villamarín
- Á. Rodríguez
- J. Rodríguez (ORCID: https://orcid.org/0000-0002-5631-2981)
- Felix Camiña Darriba
- Juan B. Ortolá Devesa
Institutions
- Universidade de Santiago de Compostela (ES)
- Complejo Hospitalario Universitario de Santiago (ES)
Publication Details
- Journal
- Advances in Laboratory Medicine / Avances en Medicina de Laboratorio
- Published
- 2025-03-01
- DOI
- https://doi.org/10.1515/almed-2025-0011
- Citations
- 2
- Primary Topic
- Diabetes Management and Research
- Type
- article
- Field-Weighted Citation Impact
- 2.59