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Performance of transient elastography for the staging of liver fibrosis in patients with chronic hepatitis B: a meta-analysis

Authors
 Young Eun Chon  ;  Eun Hee Choi  ;  Ki Jun Song  ;  Jun Yong Park  ;  Do Young Kim  ;  Kwang-Hyub Han  ;  Chae Yoon Chon  ;  Sang Hoon Ahn  ;  Seung Up Kim 
Citation
 PLoS One, Vol.7(9) : e44930, 2012 
Journal Title
 PLoS One 
ISSN
 1932-6203 
Issue Date
2012
Abstract
BACKGROUND: Transient elastography (TE), a non-invasive tool that measures liver stiffness, has been evaluated in meta-analyses for effectiveness in assessing liver fibrosis in European populations with chronic hepatitis C (CHC). However, these data cannot be extrapolated to populations in Asian countries, where chronic hepatitis B (CHB) is more prevalent. In this study, we performed a meta-analysis to assess the overall performance of TE for assessing liver fibrosis in patients with CHB. METHODS: Studies from the literature and international conference abstracts which enrolled only patients with CHB or performed a subgroup analysis of such patients were enrolled. Combined effects were calculated using area under the receiver operating characteristic curves (AUROC) and diagnostic accuracy values of each study. RESULT: A total of 18 studies comprising 2,772 patients were analyzed. The mean AUROCs for the diagnosis of significant fibrosis (F2), severe fibrosis (F3), and cirrhosis (F4) were 0.859 (95% confidence interval [CI], 0.857-0.860), 0.887 (95% CI, 0.886-0.887), and 0.929 (95% CI, 0.928-0.929), respectively. The estimated cutoff for F2 was 7.9 (range, 6.1-11.8) kPa, with a sensitivity of 74.3% and specificity of 78.3%. For F3, the cutoff value was determined to be 8.8 (range, 8.1-9.7) kPa, with a sensitivity of 74.0% and specificity of 63.8%. The cutoff value for F4 was 11.7 (range, 7.3-17.5) kPa, with a sensitivity of 84.6% and specificity of 81.5%. CONCLUSION: TE can be performed with good diagnostic accuracy for quantifying liver fibrosis in patients with CHB.
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DOI
10.1371/journal.pone.0044930
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Biomedical Systems Informatics (의생명시스템정보학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
Yonsei Authors
Kim, Do Young(김도영)
Kim, Seung Up(김승업) ORCID logo https://orcid.org/0000-0002-9658-8050
Park, Jun Yong(박준용) ORCID logo https://orcid.org/0000-0001-6324-2224
Song, Ki Jun(송기준) ORCID logo https://orcid.org/0000-0003-2505-4112
Ahn, Sang Hoon(안상훈) ORCID logo https://orcid.org/0000-0002-3629-4624
Chon, Young Eun(전영은)
Chon, Chae Yoon(전재윤)
Han, Kwang-Hyub(한광협) ORCID logo https://orcid.org/0000-0003-3960-6539
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URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/91719
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