The DOI matches its Crossref record; 129 of the 129 references it cites were found in a registry or an index.
Non-alcoholic fatty liver disease: causes, diagnosis, cardiometabolic consequences, and treatment strategies
Abstract
The prevalence of non-alcoholic fatty liver disease (NAFLD) is increasing worldwide. In some patients with NAFLD, isolated steatosis can progress to advanced stages with non-alcoholic steatohepatitis (NASH) and fibrosis, increasing the risk of cirrhosis and hepatocellular carcinoma. Furthermore, NAFLD is believed to be involved in the pathogenesis of common disorders such as type 2 diabetes and cardiovascular disease. In this Review, we highlight novel concepts related to diagnosis, risk prediction, and treatment of NAFLD. First, because NAFLD is a heterogeneous disease, the advanced stages of which seem to be strongly affected by comorbidities such as insulin resistance and type 2 diabetes, early use of reliable, non-invasive diagnostic tools is needed, particularly in patients with insulin resistance or diabetes, to allow the identification of patients at different disease stages. Second, although the strongest genetic risk alleles for NAFLD (ie, the 148Met allele in PNPLA3 and the 167Lys allele in TM6SF2) are associated with increased liver fat content and progression to NASH and cirrhosis, these alleles are also unexpectedly associated with an apparent protection from cardiovascular disease. If consistent across diverse populations, this discordance in NAFLD-related risk prediction between hepatic and extrahepatic disease might need to be accounted for in the management of NAFLD. Third, drug treatments assessed in NAFLD seem to differ with respect to cardiometabolic and antifibrotic efficacy, suggesting the need to better identify and tailor the most appropriate treatment approach, or to use a combination of approaches. These emerging concepts could contribute to the development of a multidisciplinary approach for endocrinologists and hepatologists working together in the management 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
2 retracted
Pearson-Stuttard, J., Zhou, B., Kontis, V., Bentham, J., Gunter, M. J., & Ezzati, M. (2018) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(18)30150-5 · Cited by 307
RetractedPearson-Stuttard, J., Zhou, B., Kontis, V., Bentham, J., Gunter, M. J., & Ezzati, M. (2018) · The Lancet Diabetes & Endocrinology · doi:10.1016/s2213-8587(17)30366-2 · Cited by 265
RetractedVos, T., Abajobir, A. A., Abate, K. H., Abbafati, C., Abbas, K. M., Abd-Allah, F., Abdulkader, R. S., Abdulle, A. M., Abebo, T. A., Abera, S. F., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(17)32154-2 · Cited by 13,220
Younossi, Z. M., Koenig, A. B., Abdelatif, D., Fazel, Y., Henry, L., & Wymer, M. (2016) · Hepatology · doi:10.1002/hep.28431 · Cited by 10,781
Forouzanfar, M. H., Afshin, A., Alexander, L. T., Anderson, H. R., Bhutta, Z. A., Biryukov, S., Brauer, M., Burnett, R., Cercy, K., Charlson, F. J., et al. (2016) · The Lancet · doi:10.1016/s0140-6736(16)31679-8 · Cited by 7,698
Chalasani, N., Younossi, Z., Lavine, J. E., Charlton, M., Cusi, K., Rinella, M., Harrison, S. A., Brunt, E. M., & Sanyal, A. J. (2018) · Hepatology · doi:10.1002/hep.29367 · Cited by 7,239
Self-citationInsulin signalling and the regulation of glucose and lipid metabolism
Saltiel, A. R., & Kahn, C. R. (2001) · Nature · doi:10.1038/414799a · Cited by 5,326
Global burden of NAFLD and NASH: trends, predictions, risk factors and prevention
Younossi, Z., Anstee, Q. M., Marietti, M., Hardy, T., Henry, L., Eslam, M., George, J., & Bugianesi, E. (2018) · Nature Reviews Gastroenterology & Hepatology · doi:10.1038/nrgastro.2017.109 · Cited by 5,249
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
Dormandy, J. A., Charbonnel, B., Eckland, D. J., Erdmann, E., Massi-Benedetti, M., Moules, I. K., Skene, A. M., Tan, M. H., Lefèbvre, P. J., Murray, G. D., et al. (2005) · The Lancet · doi:10.1016/s0140-6736(05)67528-9 · Cited by 4,129
Cited by
The burden and risks of emerging complications of diabetes mellitus
Tomic, D., Shaw, J. E., & Magliano, D. J. (2022) · Nature Reviews Endocrinology · doi:10.1038/s41574-022-00690-7 · Cited by 1,163
Cusi, 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-citationEpidemiology of metabolic dysfunction-associated steatotic liver disease
Younossi, Z. M., Kalligeros, M., & Henry, L. (2025) · Clinical and Molecular Hepatology · doi:10.3350/cmh.2024.0431 · Cited by 960
Duell, P. B., Welty, F. K., Miller, M., Chait, A., Hammond, G., Ahmad, Z., Cohen, D. E., Horton, J. D., Pressman, G. S., Toth, P. P., et al. (2022) · Arteriosclerosis, Thrombosis, and Vascular Biology · doi:10.1161/atv.0000000000000153 · Cited by 727
The Liver as an Endocrine Organ—Linking NAFLD and Insulin Resistance
Watt, M. J., Miotto, P. M., De Nardo, W., & Montgomery, M. K. (2019) · Endocrine Reviews · doi:10.1210/er.2019-00034 · Cited by 615
Metadata
- Authors
- Stefan, N., Häring, H.-U., & Cusi, K.
- Venue
- The Lancet Diabetes & Endocrinology
- Publisher
- Elsevier BV
- Published
- 2019-04
- Volume
- 7
- Issue
- 4
- Pages
- 313-324
- ISSN
- 2213-8587 (ISSN-L)
- OpenAlex
- W2888859009
- Cited by
- 837
- References
- 129
- FWCI
- 58.30
- Type
- journal article
- Language
- en
- Open access
- closed
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: Non-alcoholic fatty liver disease: causes, diagnosis, cardiometabolic consequences, and treatment strategies. https://app.cochat.ai/papers/10.1016/s2213-8587(18)30154-2
- The paper
- Stefan, N., Häring, H.-U., & Cusi, K. (2019). Non-alcoholic fatty liver disease: causes, diagnosis, cardiometabolic consequences, and treatment strategies. The Lancet Diabetes & Endocrinology. https://doi.org/10.1016/s2213-8587(18)30154-2
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.