Comparison of three cut-offs to diagnose clinically significant portal hypertension by liver stiffness in chronic viral liver diseases: a meta-analysis View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2018-12

AUTHORS

Jinzhen Song, Zida Ma, Jianbo Huang, Shiyu Liu, Yan Luo, Qiang Lu, Philipp Schwabl, Romanas Zykus, Ashish Kumar, Matthew Kitson

ABSTRACT

BACKGROUND: Transient elastography-based liver stiffness value (TE-LSV) has been investigated for assessing clinically significant portal hypertension (CSPH). The aetiology of CSPH is an important factor determining TE-LSV. There is insufficient evidence for selecting cut-off values. AIMS: This study performed a meta-analysis to compare the three most widely used cut-off values (around 13.6 kPa, 18 kPa and 22kPa) of TE-LSV for the diagnosis of CSPH in patients with chronic viral liver disease. METHODS: The PubMed, Ovid, Web of Science and Cochrane Library databases were searched. Diagnostic data for cut-off values around 13.6 kPa, 18 kPa and 22 kPa in each included study were extracted. The bivariate model was performed to estimate pooled sensitivity, specificity, positive likelihood ratio (LR+) and negative likelihood ratio (LR-). RESULTS: Eleven studies assessing 910 patients were included in this meta-analysis. Pooled sensitivities of cut-off values around 13.6 kPa, 18 kPa and 22 kPa were 0.96 (95% CI 0.93-0.97), 0.85 (0.81-0.89) and 0.74 (0.66-0.80), respectively; pooled specificities were 0.60 (0.47-0.75), 0.80 (0.71-0.87) and 0.94 (0.86-0.97), respectively. Pooled LR+ values were 2.4 (1.6-3.7), 4.4 (2.9-6.8) and 11.5 (5.5-23.5) for cut-off values around 13.6 kPa, 18 kPa and 22 kPa, respectively, for pooled LR- values of 0.07 (0.04-0.13), 0.17 (0.12-0.25) and 0.28 (0.22-0.36), respectively. CONCLUSION: Cut-off values around 13.6 kPa (high sensitivity) and 22 kPa (high specificity) could be used as screening and confirmation tools, respectively, in the diagnosis of CSPH. Overall, the cut-off value around 22 kPa showed the best performance. KEY POINTS: Transient elastography-based liver stiffness could be used to diagnose portal hypertension. Comparison of certain cut-off values would provide more information for clinical decision-making. Cut-off around 13.6 kPa was able to exclude clinically significant portal hypertension (CSPH) effectively. Cut-off around 22 kPa was able to confirm CSPH effectively. More... »

PAGES

5221-5230

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s00330-018-5478-z

DOI

http://dx.doi.org/10.1007/s00330-018-5478-z

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1104351974

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/29858640


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0806", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information Systems", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/08", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Information and Computing Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "West China Hospital of Sichuan University", 
          "id": "https://www.grid.ac/institutes/grid.412901.f", 
          "name": [
            "Department of Ultrasound, West China Hospital of Sichuan University, Chengdu, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Song", 
        "givenName": "Jinzhen", 
        "id": "sg:person.013162053417.24", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013162053417.24"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "West China Hospital of Sichuan University", 
          "id": "https://www.grid.ac/institutes/grid.412901.f", 
          "name": [
            "Department of Gastrointestinal Surgery, West China Hospital of Sichuan University, Chengdu, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Ma", 
        "givenName": "Zida", 
        "id": "sg:person.013546475022.68", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013546475022.68"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "West China Hospital of Sichuan University", 
          "id": "https://www.grid.ac/institutes/grid.412901.f", 
          "name": [
            "Laboratory of Clinical Ultrasound Imaging Drug Research, West China Hospital of Sichuan University, Chengdu, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Huang", 
        "givenName": "Jianbo", 
        "id": "sg:person.016442536024.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016442536024.43"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "West China Second University Hospital of Sichuan University", 
          "id": "https://www.grid.ac/institutes/grid.461863.e", 
          "name": [
            "Department of Obstetrics and Gynecology, West China Second University Hospital of Sichuan University, Chengdu, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Liu", 
        "givenName": "Shiyu", 
        "id": "sg:person.010535045224.87", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010535045224.87"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "West China Hospital of Sichuan University", 
          "id": "https://www.grid.ac/institutes/grid.412901.f", 
          "name": [
            "Department of Ultrasound, West China Hospital of Sichuan University, Chengdu, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Luo", 
        "givenName": "Yan", 
        "id": "sg:person.01201065426.97", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01201065426.97"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "West China Hospital of Sichuan University", 
          "id": "https://www.grid.ac/institutes/grid.412901.f", 
          "name": [
            "Department of Ultrasound, West China Hospital of Sichuan University, Chengdu, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lu", 
        "givenName": "Qiang", 
        "id": "sg:person.01305143061.91", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01305143061.91"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Medical University of Vienna", 
          "id": "https://www.grid.ac/institutes/grid.22937.3d", 
          "name": [
            "Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Schwabl", 
        "givenName": "Philipp", 
        "id": "sg:person.0756017545.76", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0756017545.76"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Lithuanian University of Health Sciences", 
          "id": "https://www.grid.ac/institutes/grid.45083.3a", 
          "name": [
            "Department of Gastroenterology, Lithuanian University of Health Sciences, Kaunas, Lithuania"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zykus", 
        "givenName": "Romanas", 
        "id": "sg:person.01154145261.27", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01154145261.27"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sir Ganga Ram Hospital", 
          "id": "https://www.grid.ac/institutes/grid.415985.4", 
          "name": [
            "Department of Gastroenterology, Sir Ganga Ram Hospital, New Delhi, India"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kumar", 
        "givenName": "Ashish", 
        "id": "sg:person.0772403347.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0772403347.13"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Alfred Hospital", 
          "id": "https://www.grid.ac/institutes/grid.1623.6", 
          "name": [
            "Department of Gastroenterology, Alfred Hospital, Melbourne, Australia"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kitson", 
        "givenName": "Matthew", 
        "id": "sg:person.01240476430.88", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01240476430.88"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1016/j.jhep.2005.10.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001822709"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhep.2005.10.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1001822709"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhep.2011.07.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003974548"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/hep.21665", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007223238"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/j.gastro.2012.05.035", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009942414"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1478-3231.2010.02331.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013830820"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1478-3231.2010.02331.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013830820"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1111/j.1572-0241.2004.30754.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014277319", 
          "https://doi.org/10.1111/j.1572-0241.2004.30754.x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/liv.12623", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1020673684"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhep.2015.05.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021050056"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0149230", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021617804"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrgastro.2009.149", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023908250", 
          "https://doi.org/10.1038/nrgastro.2009.149"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrgastro.2009.149", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023908250", 
          "https://doi.org/10.1038/nrgastro.2009.149"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2893.2010.01371.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025457995"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhep.2011.06.027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025486021"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/s12876-015-0414-z", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026593177", 
          "https://doi.org/10.1186/s12876-015-0414-z"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/apt.13524", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026685128"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00508-012-0190-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027000490", 
          "https://doi.org/10.1007/s00508-012-0190-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/s00508-012-0190-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027000490", 
          "https://doi.org/10.1007/s00508-012-0190-5"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2036.2008.03701.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029213512"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2036.2008.03825.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032279185"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ultrasmedbio.2016.07.025", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036896757"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1530-0277.2010.01191.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037865396"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1530-0277.2010.01191.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037865396"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3109/00365521.2014.964758", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040368918"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhep.2014.12.007", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040644345"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0140-6736(14)60121-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041464084"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3350/cmh.2013.19.4.370", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042694693"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhep.2013.10.027", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044180580"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhep.2011.03.009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048227963"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/liv.12003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048788639"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/apt.13488", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053389364"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1055/s-0034-1366506", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1057305542"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3748/wjg.v23.i4.687", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1071374434"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.7326/0003-4819-155-8-201110180-00009", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1073712514"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhep.2017.02.003", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083827487"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3350/cmh.2016.0059", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084431524"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1055/s-0043-103955", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084821759"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/j.gastro.2018.01.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100234461"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1053/j.gastro.2018.01.005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100234461"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12", 
    "datePublishedReg": "2018-12-01", 
    "description": "BACKGROUND: Transient elastography-based liver stiffness value (TE-LSV) has been investigated for assessing clinically significant portal hypertension (CSPH). The aetiology of CSPH is an important factor determining TE-LSV. There is insufficient evidence for selecting cut-off values.\nAIMS: This study performed a meta-analysis to compare the three most widely used cut-off values (around 13.6 kPa, 18 kPa and 22kPa) of TE-LSV for the diagnosis of CSPH in patients with chronic viral liver disease.\nMETHODS: The PubMed, Ovid, Web of Science and Cochrane Library databases were searched. Diagnostic data for cut-off values around 13.6 kPa, 18 kPa and 22 kPa in each included study were extracted. The bivariate model was performed to estimate pooled sensitivity, specificity, positive likelihood ratio (LR+) and negative likelihood ratio (LR-).\nRESULTS: Eleven studies assessing 910 patients were included in this meta-analysis. Pooled sensitivities of cut-off values around 13.6 kPa, 18 kPa and 22 kPa were 0.96 (95% CI 0.93-0.97), 0.85 (0.81-0.89) and 0.74 (0.66-0.80), respectively; pooled specificities were 0.60 (0.47-0.75), 0.80 (0.71-0.87) and 0.94 (0.86-0.97), respectively. Pooled LR+ values were 2.4 (1.6-3.7), 4.4 (2.9-6.8) and 11.5 (5.5-23.5) for cut-off values around 13.6 kPa, 18 kPa and 22 kPa, respectively, for pooled LR- values of 0.07 (0.04-0.13), 0.17 (0.12-0.25) and 0.28 (0.22-0.36), respectively.\nCONCLUSION: Cut-off values around 13.6 kPa (high sensitivity) and 22 kPa (high specificity) could be used as screening and confirmation tools, respectively, in the diagnosis of CSPH. Overall, the cut-off value around 22 kPa showed the best performance.\nKEY POINTS: Transient elastography-based liver stiffness could be used to diagnose portal hypertension. Comparison of certain cut-off values would provide more information for clinical decision-making. Cut-off around 13.6 kPa was able to exclude clinically significant portal hypertension (CSPH) effectively. Cut-off around 22 kPa was able to confirm CSPH effectively.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s00330-018-5478-z", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1289120", 
        "issn": [
          "0938-7994", 
          "1432-1084"
        ], 
        "name": "European Radiology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "12", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "28"
      }
    ], 
    "name": "Comparison of three cut-offs to diagnose clinically significant portal hypertension by liver stiffness in chronic viral liver diseases: a meta-analysis", 
    "pagination": "5221-5230", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "b16dd418d059a428785191a61e3f61abb53266786c1c7a8dbd7b3e7a1b5b3ae9"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "29858640"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "9114774"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s00330-018-5478-z"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1104351974"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s00330-018-5478-z", 
      "https://app.dimensions.ai/details/publication/pub.1104351974"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T16:05", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8664_00000609.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs00330-018-5478-z"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s00330-018-5478-z'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s00330-018-5478-z'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s00330-018-5478-z'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s00330-018-5478-z'


 

This table displays all metadata directly associated to this object as RDF triples.

255 TRIPLES      21 PREDICATES      63 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s00330-018-5478-z schema:about anzsrc-for:08
2 anzsrc-for:0806
3 schema:author N0ad694fab66b43a7b10693a7b07a5c9d
4 schema:citation sg:pub.10.1007/s00508-012-0190-5
5 sg:pub.10.1038/nrgastro.2009.149
6 sg:pub.10.1111/j.1572-0241.2004.30754.x
7 sg:pub.10.1186/s12876-015-0414-z
8 https://doi.org/10.1002/hep.21665
9 https://doi.org/10.1016/j.jhep.2005.10.013
10 https://doi.org/10.1016/j.jhep.2011.03.009
11 https://doi.org/10.1016/j.jhep.2011.06.027
12 https://doi.org/10.1016/j.jhep.2011.07.005
13 https://doi.org/10.1016/j.jhep.2013.10.027
14 https://doi.org/10.1016/j.jhep.2014.12.007
15 https://doi.org/10.1016/j.jhep.2015.05.022
16 https://doi.org/10.1016/j.jhep.2017.02.003
17 https://doi.org/10.1016/j.ultrasmedbio.2016.07.025
18 https://doi.org/10.1016/s0140-6736(14)60121-5
19 https://doi.org/10.1053/j.gastro.2012.05.035
20 https://doi.org/10.1053/j.gastro.2018.01.005
21 https://doi.org/10.1055/s-0034-1366506
22 https://doi.org/10.1055/s-0043-103955
23 https://doi.org/10.1111/apt.13488
24 https://doi.org/10.1111/apt.13524
25 https://doi.org/10.1111/j.1365-2036.2008.03701.x
26 https://doi.org/10.1111/j.1365-2036.2008.03825.x
27 https://doi.org/10.1111/j.1365-2893.2010.01371.x
28 https://doi.org/10.1111/j.1478-3231.2010.02331.x
29 https://doi.org/10.1111/j.1530-0277.2010.01191.x
30 https://doi.org/10.1111/liv.12003
31 https://doi.org/10.1111/liv.12623
32 https://doi.org/10.1371/journal.pone.0149230
33 https://doi.org/10.3109/00365521.2014.964758
34 https://doi.org/10.3350/cmh.2013.19.4.370
35 https://doi.org/10.3350/cmh.2016.0059
36 https://doi.org/10.3748/wjg.v23.i4.687
37 https://doi.org/10.7326/0003-4819-155-8-201110180-00009
38 schema:datePublished 2018-12
39 schema:datePublishedReg 2018-12-01
40 schema:description BACKGROUND: Transient elastography-based liver stiffness value (TE-LSV) has been investigated for assessing clinically significant portal hypertension (CSPH). The aetiology of CSPH is an important factor determining TE-LSV. There is insufficient evidence for selecting cut-off values. AIMS: This study performed a meta-analysis to compare the three most widely used cut-off values (around 13.6 kPa, 18 kPa and 22kPa) of TE-LSV for the diagnosis of CSPH in patients with chronic viral liver disease. METHODS: The PubMed, Ovid, Web of Science and Cochrane Library databases were searched. Diagnostic data for cut-off values around 13.6 kPa, 18 kPa and 22 kPa in each included study were extracted. The bivariate model was performed to estimate pooled sensitivity, specificity, positive likelihood ratio (LR+) and negative likelihood ratio (LR-). RESULTS: Eleven studies assessing 910 patients were included in this meta-analysis. Pooled sensitivities of cut-off values around 13.6 kPa, 18 kPa and 22 kPa were 0.96 (95% CI 0.93-0.97), 0.85 (0.81-0.89) and 0.74 (0.66-0.80), respectively; pooled specificities were 0.60 (0.47-0.75), 0.80 (0.71-0.87) and 0.94 (0.86-0.97), respectively. Pooled LR+ values were 2.4 (1.6-3.7), 4.4 (2.9-6.8) and 11.5 (5.5-23.5) for cut-off values around 13.6 kPa, 18 kPa and 22 kPa, respectively, for pooled LR- values of 0.07 (0.04-0.13), 0.17 (0.12-0.25) and 0.28 (0.22-0.36), respectively. CONCLUSION: Cut-off values around 13.6 kPa (high sensitivity) and 22 kPa (high specificity) could be used as screening and confirmation tools, respectively, in the diagnosis of CSPH. Overall, the cut-off value around 22 kPa showed the best performance. KEY POINTS: Transient elastography-based liver stiffness could be used to diagnose portal hypertension. Comparison of certain cut-off values would provide more information for clinical decision-making. Cut-off around 13.6 kPa was able to exclude clinically significant portal hypertension (CSPH) effectively. Cut-off around 22 kPa was able to confirm CSPH effectively.
41 schema:genre research_article
42 schema:inLanguage en
43 schema:isAccessibleForFree false
44 schema:isPartOf N31e360e5b3ba4d028707c98d06fd7f8e
45 N36f6df62db9e4e5180ef1fd6c4116f28
46 sg:journal.1289120
47 schema:name Comparison of three cut-offs to diagnose clinically significant portal hypertension by liver stiffness in chronic viral liver diseases: a meta-analysis
48 schema:pagination 5221-5230
49 schema:productId N27a9a73fc6344eebb523d6039c750545
50 N4b9bbd8c236c4fb1895869f73eeaf4d7
51 N5acde918097447a4a1312c3d0b33bf0c
52 Ncd288f1fc3174f01b04e2f7cf0df5155
53 Nea6d75eae13c47fd89e9e4b5855d492b
54 schema:sameAs https://app.dimensions.ai/details/publication/pub.1104351974
55 https://doi.org/10.1007/s00330-018-5478-z
56 schema:sdDatePublished 2019-04-10T16:05
57 schema:sdLicense https://scigraph.springernature.com/explorer/license/
58 schema:sdPublisher Nb21237ec5aa24509b01b860048ff2913
59 schema:url https://link.springer.com/10.1007%2Fs00330-018-5478-z
60 sgo:license sg:explorer/license/
61 sgo:sdDataset articles
62 rdf:type schema:ScholarlyArticle
63 N0ad694fab66b43a7b10693a7b07a5c9d rdf:first sg:person.013162053417.24
64 rdf:rest N313ee73f8d984beeabd661a854fe967e
65 N27a9a73fc6344eebb523d6039c750545 schema:name doi
66 schema:value 10.1007/s00330-018-5478-z
67 rdf:type schema:PropertyValue
68 N313ee73f8d984beeabd661a854fe967e rdf:first sg:person.013546475022.68
69 rdf:rest N8179e988e86f49dc9f6ba3adbbcd7afd
70 N31e360e5b3ba4d028707c98d06fd7f8e schema:volumeNumber 28
71 rdf:type schema:PublicationVolume
72 N36f6df62db9e4e5180ef1fd6c4116f28 schema:issueNumber 12
73 rdf:type schema:PublicationIssue
74 N4085c0ee12cc4a24851f628cc2c0c08e rdf:first sg:person.0756017545.76
75 rdf:rest N473311c8a5834bfd96d9a9aaa2c2fe83
76 N473311c8a5834bfd96d9a9aaa2c2fe83 rdf:first sg:person.01154145261.27
77 rdf:rest N58efe746974e41a4b6861d8efe10a593
78 N4b9bbd8c236c4fb1895869f73eeaf4d7 schema:name readcube_id
79 schema:value b16dd418d059a428785191a61e3f61abb53266786c1c7a8dbd7b3e7a1b5b3ae9
80 rdf:type schema:PropertyValue
81 N4dc0a3584e834a95946b5ecb88f42d29 rdf:first sg:person.010535045224.87
82 rdf:rest Nec50d1a44663479c8da9d4df8adf9f5b
83 N58efe746974e41a4b6861d8efe10a593 rdf:first sg:person.0772403347.13
84 rdf:rest N9dbc6166206241ca991aa1f2d11004f7
85 N5acde918097447a4a1312c3d0b33bf0c schema:name dimensions_id
86 schema:value pub.1104351974
87 rdf:type schema:PropertyValue
88 N8179e988e86f49dc9f6ba3adbbcd7afd rdf:first sg:person.016442536024.43
89 rdf:rest N4dc0a3584e834a95946b5ecb88f42d29
90 N9dbc6166206241ca991aa1f2d11004f7 rdf:first sg:person.01240476430.88
91 rdf:rest rdf:nil
92 Nb16b8617f6794579a6fd8f10230f3bf6 rdf:first sg:person.01305143061.91
93 rdf:rest N4085c0ee12cc4a24851f628cc2c0c08e
94 Nb21237ec5aa24509b01b860048ff2913 schema:name Springer Nature - SN SciGraph project
95 rdf:type schema:Organization
96 Ncd288f1fc3174f01b04e2f7cf0df5155 schema:name nlm_unique_id
97 schema:value 9114774
98 rdf:type schema:PropertyValue
99 Nea6d75eae13c47fd89e9e4b5855d492b schema:name pubmed_id
100 schema:value 29858640
101 rdf:type schema:PropertyValue
102 Nec50d1a44663479c8da9d4df8adf9f5b rdf:first sg:person.01201065426.97
103 rdf:rest Nb16b8617f6794579a6fd8f10230f3bf6
104 anzsrc-for:08 schema:inDefinedTermSet anzsrc-for:
105 schema:name Information and Computing Sciences
106 rdf:type schema:DefinedTerm
107 anzsrc-for:0806 schema:inDefinedTermSet anzsrc-for:
108 schema:name Information Systems
109 rdf:type schema:DefinedTerm
110 sg:journal.1289120 schema:issn 0938-7994
111 1432-1084
112 schema:name European Radiology
113 rdf:type schema:Periodical
114 sg:person.010535045224.87 schema:affiliation https://www.grid.ac/institutes/grid.461863.e
115 schema:familyName Liu
116 schema:givenName Shiyu
117 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010535045224.87
118 rdf:type schema:Person
119 sg:person.01154145261.27 schema:affiliation https://www.grid.ac/institutes/grid.45083.3a
120 schema:familyName Zykus
121 schema:givenName Romanas
122 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01154145261.27
123 rdf:type schema:Person
124 sg:person.01201065426.97 schema:affiliation https://www.grid.ac/institutes/grid.412901.f
125 schema:familyName Luo
126 schema:givenName Yan
127 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01201065426.97
128 rdf:type schema:Person
129 sg:person.01240476430.88 schema:affiliation https://www.grid.ac/institutes/grid.1623.6
130 schema:familyName Kitson
131 schema:givenName Matthew
132 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01240476430.88
133 rdf:type schema:Person
134 sg:person.01305143061.91 schema:affiliation https://www.grid.ac/institutes/grid.412901.f
135 schema:familyName Lu
136 schema:givenName Qiang
137 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01305143061.91
138 rdf:type schema:Person
139 sg:person.013162053417.24 schema:affiliation https://www.grid.ac/institutes/grid.412901.f
140 schema:familyName Song
141 schema:givenName Jinzhen
142 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013162053417.24
143 rdf:type schema:Person
144 sg:person.013546475022.68 schema:affiliation https://www.grid.ac/institutes/grid.412901.f
145 schema:familyName Ma
146 schema:givenName Zida
147 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013546475022.68
148 rdf:type schema:Person
149 sg:person.016442536024.43 schema:affiliation https://www.grid.ac/institutes/grid.412901.f
150 schema:familyName Huang
151 schema:givenName Jianbo
152 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016442536024.43
153 rdf:type schema:Person
154 sg:person.0756017545.76 schema:affiliation https://www.grid.ac/institutes/grid.22937.3d
155 schema:familyName Schwabl
156 schema:givenName Philipp
157 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0756017545.76
158 rdf:type schema:Person
159 sg:person.0772403347.13 schema:affiliation https://www.grid.ac/institutes/grid.415985.4
160 schema:familyName Kumar
161 schema:givenName Ashish
162 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0772403347.13
163 rdf:type schema:Person
164 sg:pub.10.1007/s00508-012-0190-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027000490
165 https://doi.org/10.1007/s00508-012-0190-5
166 rdf:type schema:CreativeWork
167 sg:pub.10.1038/nrgastro.2009.149 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023908250
168 https://doi.org/10.1038/nrgastro.2009.149
169 rdf:type schema:CreativeWork
170 sg:pub.10.1111/j.1572-0241.2004.30754.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1014277319
171 https://doi.org/10.1111/j.1572-0241.2004.30754.x
172 rdf:type schema:CreativeWork
173 sg:pub.10.1186/s12876-015-0414-z schema:sameAs https://app.dimensions.ai/details/publication/pub.1026593177
174 https://doi.org/10.1186/s12876-015-0414-z
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1002/hep.21665 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007223238
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1016/j.jhep.2005.10.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1001822709
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1016/j.jhep.2011.03.009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048227963
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1016/j.jhep.2011.06.027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025486021
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1016/j.jhep.2011.07.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003974548
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1016/j.jhep.2013.10.027 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044180580
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1016/j.jhep.2014.12.007 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040644345
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1016/j.jhep.2015.05.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021050056
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1016/j.jhep.2017.02.003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083827487
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1016/j.ultrasmedbio.2016.07.025 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036896757
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1016/s0140-6736(14)60121-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041464084
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1053/j.gastro.2012.05.035 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009942414
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1053/j.gastro.2018.01.005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100234461
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1055/s-0034-1366506 schema:sameAs https://app.dimensions.ai/details/publication/pub.1057305542
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1055/s-0043-103955 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084821759
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1111/apt.13488 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053389364
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1111/apt.13524 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026685128
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1111/j.1365-2036.2008.03701.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1029213512
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1111/j.1365-2036.2008.03825.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1032279185
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1111/j.1365-2893.2010.01371.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1025457995
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1111/j.1478-3231.2010.02331.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1013830820
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1111/j.1530-0277.2010.01191.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1037865396
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1111/liv.12003 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048788639
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1111/liv.12623 schema:sameAs https://app.dimensions.ai/details/publication/pub.1020673684
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1371/journal.pone.0149230 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021617804
225 rdf:type schema:CreativeWork
226 https://doi.org/10.3109/00365521.2014.964758 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040368918
227 rdf:type schema:CreativeWork
228 https://doi.org/10.3350/cmh.2013.19.4.370 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042694693
229 rdf:type schema:CreativeWork
230 https://doi.org/10.3350/cmh.2016.0059 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084431524
231 rdf:type schema:CreativeWork
232 https://doi.org/10.3748/wjg.v23.i4.687 schema:sameAs https://app.dimensions.ai/details/publication/pub.1071374434
233 rdf:type schema:CreativeWork
234 https://doi.org/10.7326/0003-4819-155-8-201110180-00009 schema:sameAs https://app.dimensions.ai/details/publication/pub.1073712514
235 rdf:type schema:CreativeWork
236 https://www.grid.ac/institutes/grid.1623.6 schema:alternateName Alfred Hospital
237 schema:name Department of Gastroenterology, Alfred Hospital, Melbourne, Australia
238 rdf:type schema:Organization
239 https://www.grid.ac/institutes/grid.22937.3d schema:alternateName Medical University of Vienna
240 schema:name Division of Gastroenterology and Hepatology, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria
241 rdf:type schema:Organization
242 https://www.grid.ac/institutes/grid.412901.f schema:alternateName West China Hospital of Sichuan University
243 schema:name Department of Gastrointestinal Surgery, West China Hospital of Sichuan University, Chengdu, China
244 Department of Ultrasound, West China Hospital of Sichuan University, Chengdu, China
245 Laboratory of Clinical Ultrasound Imaging Drug Research, West China Hospital of Sichuan University, Chengdu, China
246 rdf:type schema:Organization
247 https://www.grid.ac/institutes/grid.415985.4 schema:alternateName Sir Ganga Ram Hospital
248 schema:name Department of Gastroenterology, Sir Ganga Ram Hospital, New Delhi, India
249 rdf:type schema:Organization
250 https://www.grid.ac/institutes/grid.45083.3a schema:alternateName Lithuanian University of Health Sciences
251 schema:name Department of Gastroenterology, Lithuanian University of Health Sciences, Kaunas, Lithuania
252 rdf:type schema:Organization
253 https://www.grid.ac/institutes/grid.461863.e schema:alternateName West China Second University Hospital of Sichuan University
254 schema:name Department of Obstetrics and Gynecology, West China Second University Hospital of Sichuan University, Chengdu, China
255 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...