Identification of atypical pediatric diabetes mellitus cases using electronic medical records
In sum, we identified 1%-6.6% of atypical diabetes cases in a pediatric diabetes population with high racial and ethnic diversity using systematic review of the EMR. Better identification of these cases using unbiased approaches may advance precision diabetes.
Authors
- Ashok Balasubramanyam (ORCID: https://orcid.org/0000-0003-2093-5201)
- Marcela Astudillo (ORCID: https://orcid.org/0000-0002-0766-127X)
- MARIA JOSE REDONDO (ORCID: https://orcid.org/0000-0001-5871-4645)
- William E. Winter (ORCID: https://orcid.org/0000-0002-7704-0081)
- Raymond J. Kreienkamp (ORCID: https://orcid.org/0000-0002-1683-323X)
- Mustafa Tosur (ORCID: https://orcid.org/0000-0002-2111-271X)
- Liana K. Billings (ORCID: https://orcid.org/0000-0001-7991-3010)
Institutions
- NorthShore University HealthSystem (US)
- Harvard University (US)
- Baylor College of Medicine (US)
- University of Florida (US)
- Children's Nutrition Research Center at Baylor College of Medicine (US)
- Texas Children's Hospital (US)
Publication Details
- Journal
- BMJ Open Diabetes Research & Care
- Published
- 2024-11-01
- DOI
- https://doi.org/10.1136/bmjdrc-2024-004471
- Primary Topic
- Diabetes and associated disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institutes of Health
- National Institute of Diabetes and Digestive and Kidney Diseases