<scp>MetS</scp>‐Z: A gender‐ and age‐specific scoring system for predicting type 2 diabetes
By integrating age- and gender-specific variations, the mets-Z score provides a more personalized and precise tool for assessing metabolic and diabetes risk, surpassing existing methods. The tool is available for public use at http://bioinfolab.nhri.edu.tw/metsz/, supporting broader applications in precision medicine.
Authors
- Pablo Hsu (ORCID: https://orcid.org/0000-0002-9176-000X)
- Yi‐Rong Chen (ORCID: https://orcid.org/0000-0002-4307-3002)
- Wayne Huey‐Herng Sheu (ORCID: https://orcid.org/0000-0002-8805-8340)
Institutions
- National Yang Ming Chiao Tung University (TW)
- National Health Research Institutes (TW)
- Taipei Veterans General Hospital (TW)
- Taichung Veterans General Hospital (TW)
- National Defense Medical Center (TW)
Publication Details
- Journal
- Journal of Diabetes Investigation
- Published
- 2025-02-13
- DOI
- https://doi.org/10.1111/jdi.70004
- Citations
- 2
- Primary Topic
- Diabetes, Cardiovascular Risks, and Lipoproteins
- Type
- article
- Field-Weighted Citation Impact
- 2.59
Funders
- Taiwan Biobank
- National Health Research Institutes