Literature DB >> 24627597

Non-invasive prediction of forthcoming cirrhosis-related complications.

Wonseok Kang1, Seung Up Kim1, Sang Hoon Ahn1.   

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.

Entities:  

Keywords:  Cirrhosis; Complication; Liver-related events; Non-invasive model; Prediction

Mesh:

Substances:

Year:  2014        PMID: 24627597      PMCID: PMC3949270          DOI: 10.3748/wjg.v20.i10.2613

Source DB:  PubMed          Journal:  World J Gastroenterol        ISSN: 1007-9327            Impact factor:   5.742


  81 in total

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Journal:  Liver Int       Date:  2013-02       Impact factor: 5.828

4.  Identification of chronic hepatitis C patients without hepatic fibrosis by a simple predictive model.

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Review 9.  [Role of liver biopsy in the assessment of hepatic fibrosis--its utility and limitations].

Authors:  So Young Jin
Journal:  Korean J Hepatol       Date:  2007-06

10.  Management of hepatocellular carcinoma: an update.

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3.  Vitamin D Deficiency and Its Relationship with Child-Pugh Class in Patients with Chronic Liver Disease.

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4.  Combining liver stiffness with hyaluronic acid provides superior prognostic performance in chronic hepatitis C.

Authors:  Janne Fuglsang Hansen; Karen Mølgaard Christiansen; Benjamin Staugaard; Belinda Klemmensen Moessner; Søren Lillevang; Aleksander Krag; Peer Brehm Christensen
Journal:  PLoS One       Date:  2019-02-11       Impact factor: 3.240

5.  Liver Stiffness by Magnetic Resonance Elastography Predicts Future Cirrhosis, Decompensation, and Death in NAFLD.

Authors:  Tolga Gidener; Omar T Ahmed; Joseph J Larson; Kristin C Mara; Terry M Therneau; Sudhakar K Venkatesh; Richard L Ehman; Meng Yin; Alina M Allen
Journal:  Clin Gastroenterol Hepatol       Date:  2020-09-30       Impact factor: 13.576

  5 in total

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