Cross-Sectional Validation of Diabetes Risk Scores for Predicting Diabetes, Metabolic Syndrome, and Chronic Kidney Disease in Taiwanese
Open accessAbstract
OBJECTIVE: To validate the performance of current diabetes risk scores (DRSs) based on simple clinical information in detecting type 2 diabetes, metabolic syndrome (MetSyn), and chronic kidney disease (CKD). RESEARCH DESIGN AND METHODS: The performance of 10 DRSs was evaluated in a cross-sectional population screening of 2,759 Taiwanese subjects. RESULTS: All DRSs significantly correlated with measures of insulin resistance, estimated glomerular filtration rate, and urine albumin excretion. The prevalence of screening-detected diabetes (SDM), MetSyn, and CKD increased with higher DRSs. For prediction of SDM, the Cambridge DRS by Griffin et al. and the Finnish DRS outperformed other DRSs in terms of discriminative power and model fit. For prediction of MetSyn and CKD, the Atherosclerosis Risk in Community Study score by Schmidt et al. outperformed other DRSs. CONCLUSIONS: Risk scores based on simple clinical information are useful to identify individuals at high risk for diabetes, MetSyn, and CKD in different ethnic populations.
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FINDRISC is the most commonly evaluated diabetes risk score worldwide and has been recommended as the best available risk assessment tool for clinical practice by a systematic review.
“Moreover, FINDRISC is the most commonly evaluated diabetes risk score worldwide [17,18,19,20,21,22,23,24,25] and has been recommended as the best available risk assessment tool for use in the clinical practice by a systematic review [11].”
From A Novel Testing Model for Opportunistic Screening of Pre-Diabetes and Diabetes among U.S. Adults (2015) · cites this paper as [23]
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- Authors
- Lin, J.-W., Chang, Y.-C., Li, H.-Y., Chien, Y.-F., Wu, M.-Y., Tsai, R.-Y., Hsieh, Y.-C., Chen, Y.-J., Hwang, J.-J., & Chuang, L.-M.
- Affiliations
- National Taiwan University (TW)
- National Taiwan University Hospital (TW)
- Corresponding author
- Hwang, Juey-Jen
- Chuang, Lee-Ming
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2009-09-15
- Volume
- 32
- Issue
- 12
- Pages
- 2294-2296
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- PMC
- PMC2782993
- OpenAlex
- W1983192188
- Cited by
- 60
- References
- 17
- Citations by year
- 2026: 1 · 2025: 1 · 2023: 1 · 2022: 1 · 2021: 1 · 2020: 4 · 2019: 2 · 2017: 2 · 2016: 5 · 2015: 7 · 2014: 6 · 2013: 11 · 2012: 6
- FWCI
- 4.37
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Diabetes Care (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Funders
- National Taiwan University Hospital
- National Taiwan University
- National Taiwan University Hospital Yunlin Branch
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes, Cardiovascular Risks, and Lipoproteins
- Health Sciences › Medicine › Nephrology › Chronic Kidney Disease and Diabetes
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Health Promotion and Cardiovascular Prevention
- Keywords
- diabetes risk score, type 2 diabetes, metabolic syndrome, chronic kidney disease, risk prediction, screening, insulin resistance, estimated glomerular filtration rate, urinary albumin excretion, Taiwanese population
- MeSH terms
- Chronic Disease, Cross-Sectional Studies, Diabetes Mellitus, Ethnicity, Humans, Kidney Diseases, Predictive Value of Tests, Risk Factors, ROC Curve, Taiwan, Metabolic Syndrome, Racial Groups
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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