The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Relationship Between Serum Uric Acid Concentration and Insulin Resistance and Metabolic Syndrome
Open accessAbstract
BACKGROUND: Associations between hyperuricemia, cardiovascular diseases and diabetes have been reported, but few of the studies have been conducted in the Korean population. The present study examined a Korean adult population with respect to the relationships between serum uric acid concentrations and hypertension, insulin resistance, and the risk factors of metabolic syndrome. METHODS AND RESULTS: A total of 53,477 subjects were divided into 4 groups according to serum uric acid quartiles. The incidence of hypertension in all subjects was higher in the first quartile than in the third plus fourth quartile (odds ratio (OR) 1.192, p < 0.001). Homeostasis model assessment index was found to be associated with serum uric acid concentration in all subjects (OR 1.193, p < 0.001), and the serum uric acid concentration was positively correlated with the risk factors of metabolic syndrome. In addition, the number of metabolic syndrome variables increased as serum uric acid concentration increased. CONCLUSIONS: Serum uric acid concentration was found to be independently correlated with hypertension, insulin resistance and the risk factors of metabolic syndrome. In addition, even those with a serum uric acid concentration in the normal range showed an increased risk of metabolic syndrome as serum uric acid concentration increased.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Matthews, D. R., Hosker, J. P., Rudenski, A. S., Naylor, B. A., Treacher, D. F., & Turner, R. C. (1985) · Diabetologia · doi:10.1007/bf00280883 · Cited by 31,502
New Criteria for `Obesity Disease' in Japan
The Examination Committee of Criter (2002) · Circulation Journal · doi:10.1253/circj.66.987 · Cited by 1,650
Allopurinol Improves Myocardial Efficiency in Patients With Idiopathic Dilated Cardiomyopathy
Cappola, T. P., Kass, D. A., Nelson, G. S., Berger, R. D., Rosas, G. O., Kobeissi, Z. A., Marbán, E., & Hare, J. M. (2001) · Circulation · doi:10.1161/hc4501.098928 · Cited by 436
Cited by
Sautin, Y. Y., Nakagawa, T., Zharikov, S., & Johnson, R. J. (2007) · American Journal of Physiology-Cell Physiology · doi:10.1152/ajpcell.00600.2006 · Cited by 787
Association Between Serum Uric Acid and Development of Type 2 Diabetes
Kodama, S., Saito, K., Yachi, Y., Asumi, M., Sugawara, A., Totsuka, K., Saito, A., & Sone, H. (2009) · Diabetes Care · doi:10.2337/dc09-0288 · Cited by 549
Uric acid, hyperuricemia and vascular diseases
Jin, M. (2012) · Frontiers in Bioscience · doi:10.2741/3950 · Cited by 406
Uric acid: A marker of increased cardiovascular risk
Gagliardi, A. C. M., Miname, M. H., & Santos, R. D. (2009) · Atherosclerosis · doi:10.1016/j.atherosclerosis.2008.05.022 · Cited by 384
Hyperuricemia and Incidence of Hypertension Among Men Without Metabolic Syndrome
Krishnan, E., Kwoh, C. K., Schumacher, H. R., & Kuller, L. (2007) · Hypertension · doi:10.1161/01.hyp.0000254480.64564.b6 · Cited by 293
Metadata
- Authors
- Yoo, T. W., Sung, K. C., Shin, H. S., Kim, B. J., Kim, B. S., Kang, J. H., Lee, M. H., Park, J. R., Kim, H., Rhee, E. J., Lee, W. Y., Kim, S. W., Ryu, S. H., & Keum, D. G.
- Venue
- Circulation Journal
- Publisher
- Japanese Circulation Society
- Published
- 2005
- Volume
- 69
- Issue
- 8
- Pages
- 928-933
- ISSN
- 1346-9843 (ISSN-L)
- 1347-4820
- OpenAlex
- W1971851436
- Cited by
- 412
- References
- 3
- FWCI
- 10.84
- Type
- journal article
- Language
- en
- Open access
- bronze
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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Relationship Between Serum Uric Acid Concentration and Insulin Resistance and Metabolic Syndrome. https://app.cochat.ai/papers/10.1253/circj.69.928
- The paper
- Yoo, T. W., Sung, K. C., Shin, H. S., Kim, B. J., Kim, B. S., Kang, J. H., Lee, M. H., Park, J. R., Kim, H., Rhee, E. J., Lee, W. Y., Kim, S. W., Ryu, S. H., & Keum, D. G. (2005). Relationship Between Serum Uric Acid Concentration and Insulin Resistance and Metabolic Syndrome. Circulation Journal. https://doi.org/10.1253/circj.69.928
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
