Precision medicine in diabetes prediction: Exploring a subgroup‐specific biomarker strategy for risk stratification
Gender- and BMI-specific biomarker strategy can improve the prediction of incident diabetes. A subgroup-specific biomarker strategy is a novel approach in the prediction of incident diabetes.
Authors
- Chih‐Yao Hsu (ORCID: https://orcid.org/0000-0002-7692-3106)
- Chung‐Yi Yang (ORCID: https://orcid.org/0000-0003-1697-8823)
- Kang‐Chih Fan (ORCID: https://orcid.org/0000-0002-6993-4528)
- I‐Weng Yen (ORCID: https://orcid.org/0000-0003-0037-1541)
- Chia‐Hung Lin (ORCID: https://orcid.org/0000-0001-8995-7420)
- Ya‐Pin Lyu
- Chun‐Heng Kuo (ORCID: https://orcid.org/0000-0001-7673-3567)
- Mao‐Shin Lin (ORCID: https://orcid.org/0000-0003-3278-4156)
- Lin Heng‐Huei
- Hung‐Yuan Li (ORCID: https://orcid.org/0000-0001-9644-2855)
- Szu‐Chi Chen (ORCID: https://orcid.org/0009-0006-9016-4376)
- Hsien‐Chia Juan
Institutions
- Fu Jen Catholic University (TW)
- National Taiwan University (TW)
- Taipei City Hospital (TW)
- National Taiwan University Hospital (TW)
- I-Shou University (TW)
Publication Details
- Journal
- Journal of Diabetes Investigation
- Published
- 2024-11-13
- DOI
- https://doi.org/10.1111/jdi.14311
- Citations
- 1
- Primary Topic
- Lipid metabolism and disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.40