The DOI matches its Crossref record; 67 of the 67 references it cites were found in a registry or an index.
Noninvasive assessment of liver fibrosis
Abstract
Liver biopsy has long been an important tool for assessing the degree of liver fibrosis. Information on the presence and degree of liver fibrosis is useful before making therapeutic decisions or predicting disease outcomes. The need to stage liver fibrosis, however, should decrease as treatment options become more successful (as has occurred with viral hepatitis). In recent years, noninvasive tests have demonstrated a reasonable ability to identify significant fibrosis, cirrhosis in particular, nor is it surprising that liver disease specialists and patients favor a noninvasive approach. However, only those tests with the highest diagnostic accuracy, cost-effectiveness, and availability should be implemented. Apart from their diagnostic accuracy, the potential ability of these tests to predict disease outcomes (a more relevant endpoint) should be compared with that of liver biopsy. Indeed, the use of a standardized system to evaluate the utility of biomarkers would facilitate their implementation in clinical practice. (Hepatology 2011.)
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
Sterling, R. K., Lissen, E., Clumeck, N., Sola, R., Correa, M. C., Montaner, J., S. Sulkowski, M., Torriani, F. J., Dieterich, D. T., Thomas, D. L., et al. (2006) · Hepatology · doi:10.1002/hep.21178 · Cited by 5,021
Wai, C.-T., Greenson, J. K., Fontana, R. J., Kalbfleisch, J. D., Marrero, J. A., Conjeevaram, H. S., & Lok, A. S.-F. (2003) · Hepatology · doi:10.1053/jhep.2003.50346 · Cited by 4,406
Angulo, P., Hui, J. M., Marchesini, G., Bugianesi, E., George, J., Farrell, G. C., Enders, F., Saksena, S., Burt, A. D., Bida, J. P., et al. (2007) · Hepatology · doi:10.1002/hep.21496 · Cited by 3,203
Transient elastography: a new noninvasive method for assessment of hepatic fibrosis
Sandrin, L., Fourquet, B., Hasquenoph, J.-M., Yon, S., Fournier, C., Mal, F., Christidis, C., Ziol, M., Poulet, B., Kazemi, F., et al. (2003) · Ultrasound in Medicine & Biology · doi:10.1016/j.ultrasmedbio.2003.07.001 · Cited by 2,738
Castéra, L., Vergniol, J., Foucher, J., Le Bail, B., Chanteloup, E., Haaser, M., Darriet, M., Couzigou, P., & de Lédinghen, V. (2005) · Gastroenterology · doi:10.1053/j.gastro.2004.11.018 · Cited by 2,487
Sampling Variability of Liver Fibrosis in Chronic Hepatitis C
Bedossa, P., Dargère, D., & Paradis, V. (2003) · Hepatology · doi:10.1016/j.hep.2003.09.022 · Cited by 2,376
Performance of Transient Elastography for the Staging of Liver Fibrosis: A Meta-Analysis
Friedrich–Rust, M., Ong, M., Martens, S., Sarrazin, C., Bojunga, J., Zeuzem, S., & Herrmann, E. (2008) · Gastroenterology · doi:10.1053/j.gastro.2008.01.034 · Cited by 1,490
Ziol, M., Handra-Luca, A., Kettaneh, A., Christidis, C., Mal, F., Kazemi, F., de Lédinghen, V., Marcellin, P., Dhumeaux, D., Trinchet, J.-C., et al. (2005) · Hepatology · doi:10.1002/hep.20506 · Cited by 1,470
Imbert-Bismut, F., Ratziu, V., Pieroni, L., Charlotte, F., Benhamou, Y., & Poynard, T. (2001) · The Lancet · doi:10.1016/s0140-6736(00)04258-6 · Cited by 1,433
Wong, V. W.-S., Vergniol, J., Wong, G. L.-H., Foucher, J., Chan, H. L.-Y., Le Bail, B., Choi, P. C.-L., Kowo, M., Chan, A. W.-H., Merrouche, W., et al. (2010) · Hepatology · doi:10.1002/hep.23312 · Cited by 1,322
Cited by
EASL–EORTC Clinical Practice Guidelines: Management of hepatocellular carcinoma
European Association for the Study of the Liver, & European Organisation for Research and Treatment of Cancer (2012) · Journal of Hepatology · doi:10.1016/j.jhep.2011.12.001 · Cited by 5,218
“In this respect, transient elastography appears to be a promising tool able to stratify patients at differentHCC risks [14,60].”
BackgroundAlcoholic Liver Disease: Pathogenesis and New Therapeutic Targets
Gao, B., & Bataller, R. (2011) · Gastroenterology · doi:10.1053/j.gastro.2011.09.002 · Cited by 1,963
Ferraioli, G., Tinelli, C., Dal Bello, B., Zicchetti, M., Filice, G., Filice, C., & on behalf of the Liver Fibrosis Study Group (2012) · Hepatology · doi:10.1002/hep.25936 · Cited by 667
Magnetic resonance elastography of liver: Technique, analysis, and clinical applications
Venkatesh, S. K., Yin, M., & Ehman, R. L. (2013) · Journal of Magnetic Resonance Imaging · doi:10.1002/jmri.23731 · Cited by 659
Review article: the reversibility of cirrhosis
Sohrabpour, A. A., Mohamadnejad, M., & Malekzadeh, R. (2012) · Alimentary Pharmacology & Therapeutics · doi:10.1111/apt.12044 · Cited by 80
Metadata
- Authors
- Martínez, S. M., Crespo, G., Navasa, M., & Forns, X.
- Venue
- Hepatology
- Published
- 2011-01
- Volume
- 53
- Issue
- 1
- Pages
- 325-335
- ISSN
- 0270-9139 (ISSN-L)
- OpenAlex
- W2060556645
- Cited by
- 422
- References
- 67
- FWCI
- 22.85
- 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: Noninvasive assessment of liver fibrosis. https://app.cochat.ai/papers/10.1002/hep.24013
- The paper
- Martínez, S. M., Crespo, G., Navasa, M., & Forns, X. (2011). Noninvasive assessment of liver fibrosis. Hepatology. https://doi.org/10.1002/hep.24013
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.
