The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Hepatic Enzymes, the Metabolic Syndrome, and the Risk of Type 2 Diabetes in Older Men
Open accessAbstract
OBJECTIVE—We have examined the relationship between hepatic enzymes, the metabolic syndrome, insulin resistance, and type 2 diabetes and assessed the potential of hepatic enzyme measurements in determining diabetes risk. RESEARCH DESIGN AND METHODS—We conducted a prospective study of 3,500 nondiabetic men aged 60–79 years who were followed-up for a mean period of 5 years and in whom there were 100 incident type 2 diabetes cases. RESULTS—In cross-sectional analyses, alanine aminotransferase (ALT) and γ-glutamyltransferase (GGT) were strongly associated with obesity, insulin resistance, and the metabolic syndrome. Prospectively, the risk of type 2 diabetes significantly increased with increasing levels of ALT and GGT even after adjustment for confounders including BMI (top versus bottom quarter ALT: relative risk 2.72 [95% CI 1.47–5.02]; GGT: 3.68 [1.68–8.04]). Additional adjustment for insulin resistance attenuated the effects, but the relationships with ALT and GGT remained significant (1.91 [1.01–3.60] and 2.69 [1.21–5.97], respectively). Further adjustment for inflammatory markers (C-reactive protein) made minor differences. Among high-risk subjects (obese men or those with the metabolic syndrome), elevated GGT and ALT enhanced the prediction of diabetes risk. CONCLUSIONS— Elevated levels of ALT and GGT within the normal range are independent predictors of type 2 diabetes in older men and are useful additional measures in identifying those at high risk of diabetes.
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
Nonalcoholic Fatty Liver Disease
Marchesini, G., Brizi, M., Bianchi, G., Tomassetti, S., Bugianesi, E., Lenzi, M., McCullough, A. J., Natale, S., Forlani, G., & Melchionda, N. (2001) · Diabetes · doi:10.2337/diabetes.50.8.1844 · Cited by 2,581
Ceriello, A., & Motz, E. (2004) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/01.atv.0000122852.22604.78 · Cited by 1,378
Inflammatory pathways and insulin action
Hotamisligil, G. S. (2003) · International Journal of Obesity · doi:10.1038/sj.ijo.0802502 · Cited by 717
Prospective Study of Serum γ-Glutamyltransferase and Risk of NIDDM
Perry, I. J., Wannamethee, S. G., & Shaper, A. G. (1998) · Diabetes Care · doi:10.2337/diacare.21.5.732 · Cited by 319 · cited 3×
“These observations confirm our earlier findings carried out in middle-aged men (4) and those of other studies (5–11) and extend previous reports by assessing the influence of insulin resistance and inflammation on the relationship between GGT and ALT and diabetes.”
BackgroundResultSelf-citation
Cited by
Depommier, C., Everard, A., Druart, C., Plovier, H., Van Hul, M., Vieira-Silva, S., Falony, G., Raes, J., Maiter, D., Delzenne, N. M., et al. (2019) · Nature Medicine · doi:10.1038/s41591-019-0495-2 · Cited by 2,357
Cusi, K. (2012) · Gastroenterology · doi:10.1053/j.gastro.2012.02.003 · Cited by 911
Schindhelm, R. K., Diamant, M., Dekker, J. M., Tushuizen, M. E., Teerlink, T., & Heine, R. J. (2006) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.666 · Cited by 375
A causal role for hyperinsulinemia in obesity
Templeman, N. M., Skovsø, S., Page, M. M., Lim, G. E., & Johnson, J. D. (2017) · Journal of Endocrinology · doi:10.1530/joe-16-0449 · Cited by 168
Novel biochemical risk factors for type 2 diabetes: pathogenic insights or prediction possibilities?
Sattar, N., Wannamethee, S. G., & Forouhi, N. G. (2008) · Diabetologia · doi:10.1007/s00125-008-0954-7 · Cited by 143
Self-citation
Metadata
- Authors
- Wannamethee, S. G., Shaper, A. G., Lennon, L., & Whincup, P. H.
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2005-12-01
- Volume
- 28
- Issue
- 12
- Pages
- 2913-2918
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- OpenAlex
- W2126732462
- Cited by
- 274
- References
- 5
- FWCI
- 12.77
- 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: Hepatic Enzymes, the Metabolic Syndrome, and the Risk of Type 2 Diabetes in Older Men. https://app.cochat.ai/papers/10.2337/diacare.28.12.2913
- The paper
- Wannamethee, S. G., Shaper, A. G., Lennon, L., & Whincup, P. H. (2005). Hepatic Enzymes, the Metabolic Syndrome, and the Risk of Type 2 Diabetes in Older Men. Diabetes Care. https://doi.org/10.2337/diacare.28.12.2913
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.