The performance of enhanced liver fibrosis (ELF) test for the staging of liver fibrosis: a meta-analysis
The enhanced liver fibrosis test (ELF) has been shown to accurately predict significant liver fibrosis in several liver diseases. To perform a meta-analysis to assess the performance of the ELF test for the assessment of liver fibrosis. Electronic and manual searches were performed to identify studi...
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description | The enhanced liver fibrosis test (ELF) has been shown to accurately predict significant liver fibrosis in several liver diseases.
To perform a meta-analysis to assess the performance of the ELF test for the assessment of liver fibrosis.
Electronic and manual searches were performed to identify studies of the ELF test. After methodological quality assessment and data extraction, pooled estimates of the sensitivity, specificity, area under the receiver operating characteristic curve (AUROC), positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR) and summary receiver operating characteristics (sROC) were assessed systematically. The extent of heterogeneity and reasons for it were assessed.
Nine studies were identified for analysis. The pooled sensitivity, specificity, positive LR, negative LR, and DOR values of ELF test, for assessment of significant liver fibrosis, were 83% (95% CI=0.80-0.86), 73% (95% CI=0.69-0.77), 4.00 (95% CI=2.50-6.39), 0.24 (95% CI=0.17-0.34), and 16.10 (95% CI=8.27-31.34), respectively; and, for evaluation of severe liver fibrosis, were 78% (95% CI=0.74-0.81), 76% (95% CI=0.73-0.78), 4.39 (95% CI=2.76-6.97), 0.27 (95% CI=0.16-0.46), and 16.01 (95% CI: 7.15-35.82), respectively; and, for estimation of cirrhosis, were 80% (95% CI=0.75-0.85), 71% (95% CI=0.68-0.74), 3.13 (95% CI=2.01-4.87), 0.29 (95% CI=0.19-0.44), and 14.09 (95% CI: 5.43-36.59), respectively.
The ELF test shows good performance and considerable diagnostic value for the prediction of histological fibrosis stage. |
doi_str_mv | 10.1371/journal.pone.0092772 |
format | Article |
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To perform a meta-analysis to assess the performance of the ELF test for the assessment of liver fibrosis.
Electronic and manual searches were performed to identify studies of the ELF test. After methodological quality assessment and data extraction, pooled estimates of the sensitivity, specificity, area under the receiver operating characteristic curve (AUROC), positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR) and summary receiver operating characteristics (sROC) were assessed systematically. The extent of heterogeneity and reasons for it were assessed.
Nine studies were identified for analysis. The pooled sensitivity, specificity, positive LR, negative LR, and DOR values of ELF test, for assessment of significant liver fibrosis, were 83% (95% CI=0.80-0.86), 73% (95% CI=0.69-0.77), 4.00 (95% CI=2.50-6.39), 0.24 (95% CI=0.17-0.34), and 16.10 (95% CI=8.27-31.34), respectively; and, for evaluation of severe liver fibrosis, were 78% (95% CI=0.74-0.81), 76% (95% CI=0.73-0.78), 4.39 (95% CI=2.76-6.97), 0.27 (95% CI=0.16-0.46), and 16.01 (95% CI: 7.15-35.82), respectively; and, for estimation of cirrhosis, were 80% (95% CI=0.75-0.85), 71% (95% CI=0.68-0.74), 3.13 (95% CI=2.01-4.87), 0.29 (95% CI=0.19-0.44), and 14.09 (95% CI: 5.43-36.59), respectively.
The ELF test shows good performance and considerable diagnostic value for the prediction of histological fibrosis stage.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0092772</identifier><identifier>PMID: 24736610</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Accuracy ; Analysis ; Bile ; Biological markers ; Biology and Life Sciences ; Biomarkers ; Biopsy ; Cirrhosis ; Clinical outcomes ; Complications and side effects ; Diagnosis ; Diagnostic systems ; Elasticity Imaging Techniques ; Fibrosis ; Hepatitis ; Hepatology ; Heterogeneity ; Histopathology ; Hospitals ; Humans ; Laboratories ; Likelihood ratio ; Liver ; Liver cirrhosis ; Liver Cirrhosis - diagnosis ; Liver Cirrhosis - pathology ; Liver diseases ; Medicine ; Medicine and Health Sciences ; Meta-analysis ; Odds Ratio ; Patient outcomes ; Performance assessment ; Physical Sciences ; Public health ; Quality assessment ; Quality control ; Reproducibility of Results ; Research and Analysis Methods ; Risk factors ; ROC Curve ; Sensitivity ; Sensitivity analysis ; Sensitivity and Specificity ; Severity of Illness Index ; Surgery ; Test procedures ; Transplants & implants</subject><ispartof>PloS one, 2014-04, Vol.9 (4), p.e92772-e92772</ispartof><rights>COPYRIGHT 2014 Public Library of Science</rights><rights>2014 Xie et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2014 Xie et al 2014 Xie et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c758t-d28680ed0d0bd39195c2e0e1af41466a108803939bf7839c4388996b7cd9f8d33</citedby><cites>FETCH-LOGICAL-c758t-d28680ed0d0bd39195c2e0e1af41466a108803939bf7839c4388996b7cd9f8d33</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3988013/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3988013/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24736610$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Xie, Qingsong</creatorcontrib><creatorcontrib>Zhou, Xiaohu</creatorcontrib><creatorcontrib>Huang, Pengfei</creatorcontrib><creatorcontrib>Wei, Jianfeng</creatorcontrib><creatorcontrib>Wang, Weilin</creatorcontrib><creatorcontrib>Zheng, Shusen</creatorcontrib><title>The performance of enhanced liver fibrosis (ELF) test for the staging of liver fibrosis: a meta-analysis</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>The enhanced liver fibrosis test (ELF) has been shown to accurately predict significant liver fibrosis in several liver diseases.
To perform a meta-analysis to assess the performance of the ELF test for the assessment of liver fibrosis.
Electronic and manual searches were performed to identify studies of the ELF test. After methodological quality assessment and data extraction, pooled estimates of the sensitivity, specificity, area under the receiver operating characteristic curve (AUROC), positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR) and summary receiver operating characteristics (sROC) were assessed systematically. The extent of heterogeneity and reasons for it were assessed.
Nine studies were identified for analysis. The pooled sensitivity, specificity, positive LR, negative LR, and DOR values of ELF test, for assessment of significant liver fibrosis, were 83% (95% CI=0.80-0.86), 73% (95% CI=0.69-0.77), 4.00 (95% CI=2.50-6.39), 0.24 (95% CI=0.17-0.34), and 16.10 (95% CI=8.27-31.34), respectively; and, for evaluation of severe liver fibrosis, were 78% (95% CI=0.74-0.81), 76% (95% CI=0.73-0.78), 4.39 (95% CI=2.76-6.97), 0.27 (95% CI=0.16-0.46), and 16.01 (95% CI: 7.15-35.82), respectively; and, for estimation of cirrhosis, were 80% (95% CI=0.75-0.85), 71% (95% CI=0.68-0.74), 3.13 (95% CI=2.01-4.87), 0.29 (95% CI=0.19-0.44), and 14.09 (95% CI: 5.43-36.59), respectively.
The ELF test shows good performance and considerable diagnostic value for the prediction of histological fibrosis stage.</description><subject>Accuracy</subject><subject>Analysis</subject><subject>Bile</subject><subject>Biological markers</subject><subject>Biology and Life Sciences</subject><subject>Biomarkers</subject><subject>Biopsy</subject><subject>Cirrhosis</subject><subject>Clinical outcomes</subject><subject>Complications and side effects</subject><subject>Diagnosis</subject><subject>Diagnostic systems</subject><subject>Elasticity Imaging Techniques</subject><subject>Fibrosis</subject><subject>Hepatitis</subject><subject>Hepatology</subject><subject>Heterogeneity</subject><subject>Histopathology</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Laboratories</subject><subject>Likelihood ratio</subject><subject>Liver</subject><subject>Liver cirrhosis</subject><subject>Liver Cirrhosis - diagnosis</subject><subject>Liver Cirrhosis - pathology</subject><subject>Liver diseases</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Meta-analysis</subject><subject>Odds Ratio</subject><subject>Patient outcomes</subject><subject>Performance assessment</subject><subject>Physical Sciences</subject><subject>Public health</subject><subject>Quality assessment</subject><subject>Quality control</subject><subject>Reproducibility of Results</subject><subject>Research and Analysis Methods</subject><subject>Risk factors</subject><subject>ROC Curve</subject><subject>Sensitivity</subject><subject>Sensitivity analysis</subject><subject>Sensitivity and Specificity</subject><subject>Severity of Illness Index</subject><subject>Surgery</subject><subject>Test procedures</subject><subject>Transplants & 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performance of enhanced liver fibrosis (ELF) test for the staging of liver fibrosis: a meta-analysis</title><author>Xie, Qingsong ; Zhou, Xiaohu ; Huang, Pengfei ; Wei, Jianfeng ; Wang, Weilin ; Zheng, Shusen</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c758t-d28680ed0d0bd39195c2e0e1af41466a108803939bf7839c4388996b7cd9f8d33</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Accuracy</topic><topic>Analysis</topic><topic>Bile</topic><topic>Biological markers</topic><topic>Biology and Life Sciences</topic><topic>Biomarkers</topic><topic>Biopsy</topic><topic>Cirrhosis</topic><topic>Clinical outcomes</topic><topic>Complications and side effects</topic><topic>Diagnosis</topic><topic>Diagnostic systems</topic><topic>Elasticity Imaging Techniques</topic><topic>Fibrosis</topic><topic>Hepatitis</topic><topic>Hepatology</topic><topic>Heterogeneity</topic><topic>Histopathology</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Laboratories</topic><topic>Likelihood ratio</topic><topic>Liver</topic><topic>Liver cirrhosis</topic><topic>Liver Cirrhosis - diagnosis</topic><topic>Liver Cirrhosis - pathology</topic><topic>Liver diseases</topic><topic>Medicine</topic><topic>Medicine and Health Sciences</topic><topic>Meta-analysis</topic><topic>Odds Ratio</topic><topic>Patient outcomes</topic><topic>Performance assessment</topic><topic>Physical Sciences</topic><topic>Public health</topic><topic>Quality assessment</topic><topic>Quality control</topic><topic>Reproducibility of Results</topic><topic>Research and Analysis Methods</topic><topic>Risk factors</topic><topic>ROC Curve</topic><topic>Sensitivity</topic><topic>Sensitivity analysis</topic><topic>Sensitivity and Specificity</topic><topic>Severity of Illness 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titles)</collection><collection>DOAJ, Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xie, Qingsong</au><au>Zhou, Xiaohu</au><au>Huang, Pengfei</au><au>Wei, Jianfeng</au><au>Wang, Weilin</au><au>Zheng, Shusen</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The performance of enhanced liver fibrosis (ELF) test for the staging of liver fibrosis: a meta-analysis</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2014-04-01</date><risdate>2014</risdate><volume>9</volume><issue>4</issue><spage>e92772</spage><epage>e92772</epage><pages>e92772-e92772</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>The enhanced liver fibrosis test (ELF) has been shown to accurately predict significant liver fibrosis in several liver diseases.
To perform a meta-analysis to assess the performance of the ELF test for the assessment of liver fibrosis.
Electronic and manual searches were performed to identify studies of the ELF test. After methodological quality assessment and data extraction, pooled estimates of the sensitivity, specificity, area under the receiver operating characteristic curve (AUROC), positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR) and summary receiver operating characteristics (sROC) were assessed systematically. The extent of heterogeneity and reasons for it were assessed.
Nine studies were identified for analysis. The pooled sensitivity, specificity, positive LR, negative LR, and DOR values of ELF test, for assessment of significant liver fibrosis, were 83% (95% CI=0.80-0.86), 73% (95% CI=0.69-0.77), 4.00 (95% CI=2.50-6.39), 0.24 (95% CI=0.17-0.34), and 16.10 (95% CI=8.27-31.34), respectively; and, for evaluation of severe liver fibrosis, were 78% (95% CI=0.74-0.81), 76% (95% CI=0.73-0.78), 4.39 (95% CI=2.76-6.97), 0.27 (95% CI=0.16-0.46), and 16.01 (95% CI: 7.15-35.82), respectively; and, for estimation of cirrhosis, were 80% (95% CI=0.75-0.85), 71% (95% CI=0.68-0.74), 3.13 (95% CI=2.01-4.87), 0.29 (95% CI=0.19-0.44), and 14.09 (95% CI: 5.43-36.59), respectively.
The ELF test shows good performance and considerable diagnostic value for the prediction of histological fibrosis stage.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>24736610</pmid><doi>10.1371/journal.pone.0092772</doi><oa>free_for_read</oa></addata></record> |
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source | DOAJ, Directory of Open Access Journals; PubMed Central (Open Access); Public Library of Science (PLoS) Journals Open Access; MEDLINE; Free Full-Text Journals in Chemistry; EZB Electronic Journals Library |
subjects | Accuracy Analysis Bile Biological markers Biology and Life Sciences Biomarkers Biopsy Cirrhosis Clinical outcomes Complications and side effects Diagnosis Diagnostic systems Elasticity Imaging Techniques Fibrosis Hepatitis Hepatology Heterogeneity Histopathology Hospitals Humans Laboratories Likelihood ratio Liver Liver cirrhosis Liver Cirrhosis - diagnosis Liver Cirrhosis - pathology Liver diseases Medicine Medicine and Health Sciences Meta-analysis Odds Ratio Patient outcomes Performance assessment Physical Sciences Public health Quality assessment Quality control Reproducibility of Results Research and Analysis Methods Risk factors ROC Curve Sensitivity Sensitivity analysis Sensitivity and Specificity Severity of Illness Index Surgery Test procedures Transplants & implants |
title | The performance of enhanced liver fibrosis (ELF) test for the staging of liver fibrosis: a meta-analysis |
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