Cited 13 times in
Non-invasive prediction of forthcoming cirrhosis-related complications
DC Field | Value | Language |
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dc.contributor.author | 강원석 | - |
dc.contributor.author | 김승업 | - |
dc.contributor.author | 안상훈 | - |
dc.date.accessioned | 2015-01-06T16:37:24Z | - |
dc.date.available | 2015-01-06T16:37:24Z | - |
dc.date.issued | 2014 | - |
dc.identifier.issn | 1007-9327 | - |
dc.identifier.uri | https://ir.ymlib.yonsei.ac.kr/handle/22282913/98450 | - |
dc.description.abstract | In patients with chronic liver diseases, identification of significant liver fibrosis and cirrhosis is essential for determining treatment strategies, assessing therapeutic response, and stratifying long-term prognosis. Although liver biopsy remains the reference standard for evaluating the extent of liver fibrosis in patients with chronic liver diseases, several non-invasive methods have been developed as alternatives to liver biopsies. Some of these non-invasive methods have demonstrated clinical accuracy for diagnosing significant fibrosis or cirrhosis in many cross-sectional studies with the histological fibrosis stage as a reference standard. However, non-invasive methods cannot be fully validated through cross-sectional studies since liver biopsy is not a perfect surrogate endpoint marker. Accordingly, recent studies have focused on assessing the performance of non-invasive methods through long-term, longitudinal, follow-up studies with solid clinical endpoints related to advanced stages of liver fibrosis and cirrhosis. As a result, current view is that these alternative methods can independently predict future cirrhosis-related complications, such as hepatic decompensation, liver failure, hepatocellular carcinoma, or liver-related death. The clinical role of non-invasive models seems to be shifting from a simple tool for predicting the extent of fibrosis to a surveillance tool for predicting future liver-related events. In this article, we will summarize recent longitudinal studies of non-invasive methods for predicting forthcoming complications related to liver cirrhosis and discuss the clinical value of currently available non-invasive methods based on evidence from the literature. | - |
dc.description.statementOfResponsibility | open | - |
dc.format.extent | 2613~2623 | - |
dc.relation.isPartOf | WORLD JOURNAL OF GASTROENTEROLOGY | - |
dc.rights | CC BY-NC-ND 2.0 KR | - |
dc.rights.uri | https://creativecommons.org/licenses/by-nc-nd/2.0/kr/ | - |
dc.subject.MESH | Biomarkers/blood | - |
dc.subject.MESH | Biopsy | - |
dc.subject.MESH | Decision Support Techniques* | - |
dc.subject.MESH | Disease Progression | - |
dc.subject.MESH | Disease-Free Survival | - |
dc.subject.MESH | Elasticity Imaging Techniques | - |
dc.subject.MESH | Humans | - |
dc.subject.MESH | Kaplan-Meier Estimate | - |
dc.subject.MESH | Liver Cirrhosis/blood | - |
dc.subject.MESH | Liver Cirrhosis/complications* | - |
dc.subject.MESH | Liver Cirrhosis/diagnosis* | - |
dc.subject.MESH | Liver Cirrhosis/mortality | - |
dc.subject.MESH | Predictive Value of Tests | - |
dc.subject.MESH | Risk Assessment | - |
dc.subject.MESH | Risk Factors | - |
dc.subject.MESH | Severity of Illness Index | - |
dc.subject.MESH | Time Factors | - |
dc.title | Non-invasive prediction of forthcoming cirrhosis-related complications | - |
dc.type | Article | - |
dc.contributor.college | College of Medicine (의과대학) | - |
dc.contributor.department | Dept. of Internal Medicine (내과학) | - |
dc.contributor.googleauthor | Wonseok Kang | - |
dc.contributor.googleauthor | Seung Up Kim | - |
dc.contributor.googleauthor | Sang Hoon Ahn | - |
dc.identifier.doi | 10.3748/wjg.v20.i10.2613 | - |
dc.admin.author | false | - |
dc.admin.mapping | false | - |
dc.contributor.localId | A00061 | - |
dc.contributor.localId | A00654 | - |
dc.contributor.localId | A02226 | - |
dc.relation.journalcode | J02795 | - |
dc.identifier.eissn | 2219-2840 | - |
dc.identifier.pmid | 24627597 | - |
dc.subject.keyword | Cirrhosis | - |
dc.subject.keyword | Complication | - |
dc.subject.keyword | Liver-related events | - |
dc.subject.keyword | Non-invasive model | - |
dc.subject.keyword | Prediction | - |
dc.contributor.alternativeName | Kang, Won Suk | - |
dc.contributor.alternativeName | Kim, Seung Up | - |
dc.contributor.alternativeName | Ahn, Sang Hoon | - |
dc.contributor.affiliatedAuthor | Kang, Won Suk | - |
dc.contributor.affiliatedAuthor | Kim, Seung Up | - |
dc.contributor.affiliatedAuthor | Ahn, Sang Hoon | - |
dc.citation.volume | 20 | - |
dc.citation.number | 10 | - |
dc.citation.startPage | 2613 | - |
dc.citation.endPage | 2623 | - |
dc.identifier.bibliographicCitation | WORLD JOURNAL OF GASTROENTEROLOGY, Vol.20(10) : 2613-2623, 2014 | - |
dc.identifier.rimsid | 56610 | - |
dc.type.rims | ART | - |
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