The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Prevalence of Prediabetes and Diabetes and Metabolic Profile of Patients With Nonalcoholic Fatty Liver Disease (NAFLD)
Open accessAbstract
OBJECTIVE: Prediabetes and type 2 diabetes mellitus (T2DM) are believed to be common and associated with a worse metabolic profile in patients with nonalcoholic fatty liver disease (NAFLD). However, no previous study has systematically screened this population. RESEARCH DESIGN AND METHODS: We studied the prevalence and the metabolic impact of prediabetes and T2DM in 118 patients with NAFLD. The control group comprised 20 subjects without NAFLD matched for age, sex, and adiposity. We measured 1) plasma glucose, insulin, and free fatty acid (FFA) concentration during an oral glucose tolerance test; 2) liver fat by magnetic resonance spectroscopy (MRS); 3) liver and muscle insulin sensitivity (euglycemic insulin clamp with 3-[3H]glucose); and 4) indexes of insulin resistance (IR) at the level of the liver (HIRi= endogenous glucose production × fasting plasma insulin [FPI]) and adipose tissue (Adipo-IRi= fasting FFA × FPI). RESULTS: Prediabetes and T2DM was present in 85% versus 30% in controls (P < 0.0001), all unaware of having abnormal glucose metabolism. NAFLD patients were IR at the level of the adipose tissue, liver, and muscle (all P < 0.01–0.001). Muscle and liver insulin sensitivity were impaired in patients with NAFLD to a similar degree, whether they had prediabetes or T2DM. Only adipose tissue IR worsened in T2DM and correlated with the severity of muscle (r = 0.34; P < 0.001) and hepatic (r = 0.57; P < 0.0001) IR and steatosis by MRS (r = 0.35; P < 0.0001). CONCLUSIONS: Patients with NAFLD may benefit from early screening for T2DM, because the prevalence of abnormal glucose metabolism is much higher than previously appreciated. Regardless of glucose tolerance status, severe IR is common. In patients with T2DM, adipose tissue IR appears to play a major role in the severity of NAFLD.
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
Inflammatory links between obesity and metabolic disease
Lumeng, C. N., & Saltiel, A. R. (2011) · Journal of Clinical Investigation · doi:10.1172/jci57132 · Cited by 2,319
A placebo-controlled trial of pioglitazone in subjects with nonalcoholic steatohepatitis
Belfort, R., Harrison, S. A., Brown, K., Darland, C., Finch, J., Hardies, J., Balas, B., Gastaldelli, A., Tio, F., Pulcini, J., et al. (2006) · New England Journal of Medicine · doi:10.1056/nejmoa060326 · Cited by 1,827
Self-citationCusi, K., Maezono, K., Osman, A., Pendergrass, M., Patti, M. E., Pratipanawatr, T., DeFronzo, R. A., Kahn, C. R., & Mandarino, L. J. (2000) · Journal of Clinical Investigation · doi:10.1172/jci7535 · Cited by 1,139
Self-citationNeuschwander‐Tetri, B. A. (2010) · Hepatology · doi:10.1002/hep.23719 · Cited by 1,077
Groop, L. C., Bonadonna, R. C., DelPrato, S., Ratheiser, K., Zyck, K., Ferrannini, E., & DeFronzo, R. A. (1989) · Journal of Clinical Investigation · doi:10.1172/jci114142 · Cited by 812 · cited 1×
“Insulin is also a strong inhibitor of lipolysis, and a similar relationship exists in healthy subjects between the FPI concentration and fasting plasma FFA levels (17).”
BackgroundInsulin Resistance and Hyperinsulinemia
Shanik, M. H., Xu, Y., Škrha, J., Dankner, R., Zick, Y., & Roth, J. (2008) · Diabetes Care · doi:10.2337/dc08-s264 · Cited by 791
Gastaldelli, A., Cusi, K., Pettiti, M., Hardies, J., Miyazaki, Y., Berria, R., Buzzigoli, E., Sironi, A. M., Cersosimo, E., Ferrannini, E., et al. (2007) · Gastroenterology · doi:10.1053/j.gastro.2007.04.068 · Cited by 629
Gastaldelli, A., Harrison, S. A., Belfort-Aguilar, R., Hardies, L. J., Balas, B., Schenker, S., & Cusi, K. (2009) · Hepatology · doi:10.1002/hep.23116 · Cited by 285 · cited 7×
“We also calculated an index of hepatic IR (HIRi) and of adipose tissue IR (Adipo-IRi) as previously described (5,15,16).”
MethodInfluentialSelf-citationKotronen, A., Juurinen, L., Hakkarainen, A., Westerbacka, J., Cornér, A., Bergholm, R., & Yki-Järvinen, H. (2008) · Diabetes Care · doi:10.2337/dc07-1463 · Cited by 196
Cited by
EASL–EASD–EASO Clinical Practice Guidelines for the management of non-alcoholic fatty liver disease
(2016) · Journal of Hepatology · doi:10.1016/j.jhep.2015.11.004 · Cited by 4,836
Lambert, J. E., Ramos–Roman, M. A., Browning, J. D., & Parks, E. J. (2014) · Gastroenterology · doi:10.1053/j.gastro.2013.11.049 · Cited by 1,069
Cusi, K., Orsak, B., Bril, F., Lomonaco, R., Hecht, J., Ortiz-Lopez, C., Tio, F., Hardies, J., Darland, C., Musi, N., et al. (2016) · Annals of Internal Medicine · doi:10.7326/m15-1774 · Cited by 1,024
Self-citationCusi, K., Isaacs, S., Barb, D., Basu, R., Caprio, S., Garvey, W. T., Kashyap, S., Mechanick, J. I., Mouzaki, M., Nadolsky, K., et al. (2022) · Endocrine Practice · doi:10.1016/j.eprac.2022.03.010 · Cited by 1,021
Self-citationYounossi, Z. M., Otgonsuren, M., Henry, L., Venkatesan, C., Mishra, A., Erario, M., & Hunt, S. (2015) · Hepatology · doi:10.1002/hep.28123 · Cited by 802
Metadata
- Authors
- Ortiz-Lopez, C., Lomonaco, R., Orsak, B., Finch, J., Chang, Z., Kochunov, V. G., Hardies, J., & Cusi, K.
- Venue
- Diabetes Care
- Publisher
- American Diabetes Association
- Published
- 2012-03-13
- Volume
- 35
- Issue
- 4
- Pages
- 873-878
- ISSN
- 0149-5992 (ISSN-L)
- 1935-5548
- OpenAlex
- W2103135709
- Cited by
- 253
- References
- 9
- FWCI
- 14.00
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Prevalence of Prediabetes and Diabetes and Metabolic Profile of Patients With Nonalcoholic Fatty Liver Disease (NAFLD). https://app.cochat.ai/papers/10.2337/dc11-1849
- The paper
- Ortiz-Lopez, C., Lomonaco, R., Orsak, B., Finch, J., Chang, Z., Kochunov, V. G., Hardies, J., & Cusi, K. (2012). Prevalence of Prediabetes and Diabetes and Metabolic Profile of Patients With Nonalcoholic Fatty Liver Disease (NAFLD). Diabetes Care. https://doi.org/10.2337/dc11-1849
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.