The DOI matches its Crossref record; 10 of the 10 references it cites were found in a registry or an index.
Endothelial dysfunction and cardiovascular risk profile in nonalcoholic fatty liver disease†
Open accessAbstract
Nonalcoholic fatty liver disease (NAFLD) is consistently associated with features of the metabolic syndrome, a condition carrying a high risk of cardiovascular events. We measured the vasodilatory response of the brachial artery in response to ischemia (a test of endothelial function) (FMV) as well as cardiovascular risk profile in 52 NAFLD cases and 28 age- and sex-matched controls. The 10-year risk of coronary events was calculated according to the Framingham equation and the scores derived from the PROCAM study and NCEP-ATPIII proposals. FMV was 6.33% +/- 5.93% in NAFLD versus 12.22% +/- 5.05% in controls (P < .0001), and higher in pure fatty liver (9.93%) compared with nonalcoholic steatohepatitis (4.94%) (P = .010). No differences were observed in flow-independent vasodilation (response to sublingual nitroglycerin). Percent FMV was negatively associated with insulin resistance (homeostasis model assessment) in the whole population (r = -0.243; P = .030). In logistic regression analysis, NAFLD was associated with a percent FMV in the lower tertile (OR, 6.7; 95% CI, 1.26-36.1), after adjustment for age, sex, body mass index, and insulin resistance. Among NAFLD patients, low FMV was associated with nonalcoholic steatohepatitis (adjusted OR, 6.8; 95% CI, 1.2-40.2). The 10-year probability of cardiovascular events was moderately increased in NAFLD, and particularly in nonalcoholic steatohepatitis. In conclusion, our study provides evidence of endothelial dysfunction and increased risk of cardiovascular events in NAFLD. The risk of advanced liver disease is well recognized in NAFLD patients, but the large majority of cases might experience cardiovascular disease in the long term, indirectly limiting the burden of liver failure.
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
Prevalence of obesity, diabetes, and obesity-related health risk factors, 2001
Mokdad, A. H., Ford, E. S., Bowman, B. A., Dietz, W. H., Vinicor, F., Bales, V. S., & Marks, J. S. (2003) · JAMA · doi:10.1001/jama.289.1.76 · Cited by 5,866
Nonalcoholic Fatty Liver Disease
Angulo, P. (2002) · New England Journal of Medicine · doi:10.1056/nejmra011775 · Cited by 5,228
Cardiovascular Morbidity and Mortality Associated With the Metabolic Syndrome
Isomaa, B., Almgren, P., Tuomi, T., Forsén, B., Lahti, K., Nissén, M., Taskinen, M.-R., & Groop, L. (2001) · Diabetes Care · doi:10.2337/diacare.24.4.683 · Cited by 4,760
Non-invasive detection of endothelial dysfunction in children and adults at risk of atherosclerosis
Celermajer, D. S., Sorensen, K. E., Gooch, V. M., Spiegelhalter, D. J., Miller, O. I., Sullivan, I. D., Lloyd, J. K., & Deanfield, J. E. (1992) · The Lancet · doi:10.1016/0140-6736(92)93147-f · Cited by 4,742
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
Self-citationAssmann, G., Cullen, P., & Schulte, H. (2002) · Circulation · doi:10.1161/hc0302.102575 · Cited by 1,541
Beyond insulin resistance in NASH: TNF-α or adiponectin?
Hui, J. M., Hodge, A., Farrell, G. C., Kench, J. G., Kriketos, A., & George, J. (2004) · Hepatology · doi:10.1002/hep.20280 · Cited by 942
Bugianesi, E., Gastaldelli, A., Vanni, E., Gambino, R., Cassader, M., Baldi, S., Ponti, V., Pagano, G., Ferrannini, E., & Rizzetto, M. (2005) · Diabetologia · doi:10.1007/s00125-005-1682-x · Cited by 770
Self-citationFernandez-Real, J.-M., Vayreda, M., Richart, C., Gutierrez, C., Broch, M., Vendrell, J., & Ricart, W. (2001) · The Journal of Clinical Endocrinology & Metabolism · doi:10.1210/jcem.86.3.7305 · Cited by 567
Cited by
Rinella, M. E., Neuschwander-Tetri, B. A., Siddiqui, M. S., Abdelmalek, M. F., Caldwell, S., Barb, D., Kleiner, D. E., & Loomba, R. (2023) · Hepatology · doi:10.1097/hep.0000000000000323 · Cited by 2,667
Risk of Cardiovascular Disease in Patients with Nonalcoholic Fatty Liver Disease
Targher, G., Day, C. P., & Bonora, E. (2010) · New England Journal of Medicine · doi:10.1056/nejmra0912063 · Cited by 1,907
Progression of NAFLD to diabetes mellitus, cardiovascular disease or cirrhosis
Anstee, Q. M., Targher, G., & Day, C. P. (2013) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/nrgastro.2013.41 · Cited by 1,747
Identification and characterization of metabolically benign obesity in humans
Stefan, N. (2008) · Archives of Internal Medicine · doi:10.1001/archinte.168.15.1609 · Cited by 1,049
Targher, G., Bertolini, L., Padovani, R., Rodella, S., Tessari, R., Zenari, L., Day, C., & Arcaro, G. (2007) · Diabetes Care · doi:10.2337/dc06-2247 · Cited by 992
Metadata
- Authors
- Villanova, N., Moscatiello, S., Ramilli, S., Bugianesi, E., Magalotti, D., Vanni, E., Zoli, M., & Marchesini, G.
- Venue
- Hepatology
- Published
- 2005-08
- Volume
- 42
- Issue
- 2
- Pages
- 473-480
- ISSN
- 0270-9139 (ISSN-L)
- OpenAlex
- W2028392657
- Cited by
- 629
- References
- 10
- FWCI
- 18.98
- 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: Endothelial dysfunction and cardiovascular risk profile in nonalcoholic fatty liver disease†. https://app.cochat.ai/papers/10.1002/hep.20781
- The paper
- Villanova, N., Moscatiello, S., Ramilli, S., Bugianesi, E., Magalotti, D., Vanni, E., Zoli, M., & Marchesini, G. (2005). Endothelial dysfunction and cardiovascular risk profile in nonalcoholic fatty liver disease†. Hepatology. https://doi.org/10.1002/hep.20781
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.
