The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Non-invasive diagnosis of non-alcoholic fatty liver disease. A critical appraisal
Open accessAbstract
Non-alcoholic fatty liver disease (NAFLD) affects one in every three subjects in the occidental world. The vast majority will not progress, but a relevant minority will develop liver cirrhosis and its complications. The classical gold standard for diagnosing and staging NAFLD and assessing fibrosis is liver biopsy (LB). However, it has important sample error issues and subjectivity in the interpretation, apart from a small but real risk of complications. The decision to perform an LB is even harder in a condition so prevalent such as NAFLD, in which the probability of finding severe liver injury is low. In an attempt to overcome LB and to subcategorize patients with NAFLD in different prognoses allowing better management decisions, several non-invasive methods have been studied in the last decade. The literature is vast and confusing. This review will summarize which methods have been tested and how they perform, which tests are adequate for clinical practice and how they can change the management of these patients.
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Cites
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
Epidemiology of Non-Alcoholic Fatty Liver Disease
Bellentani, S., Scaglioni, F., Marino, M., & Bedogni, G. (2010) · Digestive Diseases · doi:10.1159/000282080 · Cited by 1,026
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
Increased Hepatic and Circulating Interleukin-6 Levels in Human Nonalcoholic Steatohepatitis
Wieckowska, A., Papouchado, B. G., Li, Z., Lopez, R., Zein, N. N., & Feldstein, A. E. (2008) · The American Journal of Gastroenterology · doi:10.1111/j.1572-0241.2007.01774.x · Cited by 597
Alkhouri, N., Morris‐Stiff, G., Campbell, C., Lopez, R., Tamimi, T. A., Yerian, L., Zein, N. N., & Feldstein, A. E. (2012) · Liver International · doi:10.1111/j.1478-3231.2011.02639.x · Cited by 256
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
Noninvasive assessment of liver disease in patients with nonalcoholic fatty liver disease
Castera, L., Friedrich-Rust, M., & Loomba, R. (2019) · Gastroenterology · doi:10.1053/j.gastro.2018.12.036 · Cited by 1,494
Age as a confounding factor for the accurate non-invasive diagnosis of advanced NAFLD fibrosis
McPherson, S., Hardy, T., Dufour, J.-F., Petta, S., Romero-Gomez, M., Allison, M., Oliveira, C. P., Francque, S., Van Gaal, L., Schattenberg, J. M., et al. (2017) · American Journal of Gastroenterology · doi:10.1038/ajg.2016.453 · Cited by 945
Quek, J., Chan, K. E., Wong, Z. Y., Tan, C., Tan, B., Lim, W. H., Tan, D. J. H., Tang, A. S. P., Tay, P., Xiao, J., et al. (2023) · The Lancet Gastroenterology & Hepatology · doi:10.1016/s2468-1253(22)00317-x · Cited by 749
Kwok, R., Tse, Y. ‐., Wong, G. L. ‐., Ha, Y., Lee, A. U., Ngu, M. C., Chan, H. L. ‐., & Wong, V. W. ‐. (2014) · Alimentary Pharmacology & Therapeutics · doi:10.1111/apt.12569 · Cited by 405
Le, M. H., Devaki, P., Ha, N. B., Jun, D. W., Te, H. S., Cheung, R. C., & Nguyen, M. H. (2017) · PLoS ONE · doi:10.1371/journal.pone.0173499 · Cited by 287
Nonalcoholic fatty liver disease and aging: epidemiology to management.
Bertolotti, M. (2014) · World Journal of Gastroenterology · doi:10.3748/wjg.v20.i39.14185 · Cited by 270
Irisin in patients with nonalcoholic fatty liver disease
Polyzos, S. A., Kountouras, J., Anastasilakis, A. D., Geladari, E. V., & Mantzoros, C. S. (2014) · Metabolism · doi:10.1016/j.metabol.2013.09.013 · Cited by 215
Soto-Angona, Ó., Anmella, G., Valdés-Florido, M. J., De Uribe-Viloria, N., Carvalho, A. F., Penninx, B. W. J. H., & Berk, M. (2020) · BMC Medicine · doi:10.1186/s12916-020-01713-8 · Cited by 122
Nonalcoholic fatty liver disease – current status and future directions
Demir, M., Lang, S., & Steffen, H. (2015) · Journal of Digestive Diseases · doi:10.1111/1751-2980.12291 · Cited by 105
Vilar-Gomez, E., Athinarayanan, S. J., Adams, R. N., Hallberg, S. J., Bhanpuri, N. H., McKenzie, A. L., Campbell, W. W., McCarter, J. P., Phinney, S. D., Volek, J. S., et al. (2019) · BMJ Open · doi:10.1136/bmjopen-2018-023597 · Cited by 50
Metadata
- Authors
- Machado, M. V., & Cortez-Pinto, H.
- Venue
- Journal of Hepatology
- Publisher
- Elsevier BV
- Published
- 2013-05
- Volume
- 58
- Issue
- 5
- Pages
- 1007-1019
- ISSN
- 0168-8278 (ISSN-L)
- OpenAlex
- W2014351118
- Cited by
- 412
- References
- 5
- FWCI
- 16.37
- Type
- journal article
- Language
- en
- Open access
- hybrid
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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.
