Evidence map›Paper›PMID 28370257›Full record

SynthesisHepatology (Baltimore, Md.)2018

Assessment of biopsy-proven liver fibrosis by two-dimensional shear wave elastography: An individual patient data-based meta-analysis.

Eva Herrmann, Victor de Lédinghen, Christophe Cassinotto, Winnie C-W Chu, Vivian Y-F Leung, Giovanna Ferraioli, Carlo Filice, Laurent Castera, Valérie Vilgrain, Maxime Ronot and 21 more

2 registry-linked trialsAbstract readMeta-AnalysisReview
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in Hepatology (Baltimore, Md.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 213 papers, 13 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
213citing papers in PubMed, 13 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT03389152 completednot on this map

Evaluation of SWE as a Predictive Tool for Progression of Chronic Liver Diseases

TypeobservationalSponsorSuperSonic ImagineRan2007 to 2019Enrolled2,148ConditionsLiver FibrosesArmsElastography
NCT06523608 recruitingnot on this mapstarted 2024, after this paper: background citation

Prediction of Decompensation and HCC Development in Patients With Advanced Chronic Liver Disease by the PLEASE and M10S20 Algorithms

Typeobservational_patient_registrySponsorUniversity Hospital MuensterRan2024 to 2027Enrolled600ConditionsLiver Diseases, Hepatocellular Carcinoma, Hepatocarcinoma, Advanced Chronic Liver DiseaseArmsStandard survillance protocol, Stratified survillance protocol
3 · Its place in the literature

Who cites it

213 citing papers in PubMed, 13 syntheses or guidelines pooled it.

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  13. Diagnostic Accuracy of 2-Dimensional Shear Wave Elastography for the Staging of Liver Fibrosis: A Meta-analysis.Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine · 2019
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  16. Predicting Post-hepatectomy Liver Failure Preoperatively for Child-Pugh A5 Hepatocellular Carcinoma Patients by Liver Stiffness.Journal of gastrointestinal surgery : official journal of the Society for Surgery of the Alimentary Tract · 2023
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153 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

31 authors.

Eva HerrmannDepartment of Medicine, Institute of Biostatistics and Mathematical Modelling, Goethe University Frankfurt, Frankfurt, Germany.
Victor de LédinghenHepatology Unit, Centre Hospitalier Universitaire, Bordeaux, France.
Christophe CassinottoDepartment of Diagnostic and Interventional Imaging, Centre Hospitalier Universitaire du Haut-Lévèque, Bordeaux, France.
Winnie C-W ChuInstitute of Digestive Disease, The Chinese University of Hong Kong, Hong Kong, China.
Vivian Y-F LeungDepartment of Imaging and Interventional Radiology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China.
Giovanna FerraioliInfectious Diseases Department, Ultrasound Unit, Fondazione IRCCS Policlinico San Matteo, University of Pavia, Pavia, Italy.
Carlo FiliceInfectious Diseases Department, Ultrasound Unit, Fondazione IRCCS Policlinico San Matteo, University of Pavia, Pavia, Italy.
Laurent CasteraDepartment of Hepatology, Assistance Publique de Hôpitaux de ParisHôpital Universitaire Beaujon, Clichy, France.
Valérie VilgrainDepartment of Radiology, Assistance Publique de Hôpitaux de Paris, Hôpital Universitaire Beaujon, Clichy, France.
Maxime RonotDepartment of Radiology, Assistance Publique de Hôpitaux de Paris, Hôpital Universitaire Beaujon, Clichy, France.
Jérôme DumortierDepartment of Hepatology, Hospices Civils de Lyon, Hôpital Universitaire Edouard Herriot, Lyon, France.
Aymeric GuibalDepartment of Radiology, Centre Hospitalier Général de Perpignan, Perpignan, France.
Stanislas PolDepartment of Hepatology, Assistance Publique de Hôpitaux de Paris, Hôpital Cochin, and Université Paris Descartes and INSERM UMS20, Institut Pasteur, Paris, France.
Jonel TrebickaDepartment of Internal Medicine I, Universitätsklinikum Bonn, Bonn, Germany.
Christian JansenDepartment of Internal Medicine I, Universitätsklinikum Bonn, Bonn, Germany.
Christian StrassburgDepartment of Internal Medicine I, Universitätsklinikum Bonn, Bonn, Germany.
Rongqin ZhengDepartment of Medical Ultrasonics, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Jian ZhengDepartment of Medical Ultrasonics, Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Sven FrancqueDivision of Gastroenterology and Hepatology, Antwerp University Hospital, Edegem, Belgium.
Thomas VanwolleghemDivision of Gastroenterology and Hepatology, Antwerp University Hospital, Edegem, Belgium.
Luisa VonghiaDivision of Gastroenterology and Hepatology, Antwerp University Hospital, Edegem, Belgium.
Emanuel K ManesisDepartment of Internal Medicine, Athens University School of Medicine, Athens, Greece.
Pavlos ZoumpoulisDepartment of Radiology, Athens University School of Medicine, Athens, Greece.
Ioan SporeaDepartment of Gastroenterology and Hepatology, Victor Babes University of Medicine and Pharmacy, Timisoara, Romania.
Maja ThieleResearch Unit for Gastroenterology and Hepatology, Odense University Hospital, Odense, Denmark.ORCID 0000-0003-1854-1924
Aleksander KragResearch Unit for Gastroenterology and Hepatology, Odense University Hospital, Odense, Denmark.
Claude Cohen-BacrieSuperSonic Imagine, Aix-en-Provence, France.
Aline CritonSuperSonic Imagine, Aix-en-Provence, France.
Joel GaySuperSonic Imagine, Aix-en-Provence, France.
Thomas DeffieuxINSERM U979-Institut Langevin-ESPCI ParisTec, Paris, France.
Mireen Friedrich-RustDepartment of Internal Medicine, Goethe University Hospital Frankfurt, Frankfurt, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Two-dimensional shear wave elastography (2D-SWE) has proven to be efficient for the evaluation of liver fibrosis in small to moderate-sized clinical trials. We aimed at running a larger-scale meta-analysis of individual data. Centers which have worked with Aixplorer ultrasound equipment were contacted to share their data. Retrospective statistical analysis used direct and paired receiver operating characteristic and area under the receiver operating characteristic curve (AUROC) analyses, accounting for random effects. Data on both 2D-SWE and liver biopsy were available for 1,134 patients from 13 sites, as well as on successful transient elastography in 665 patients. Most patients had chronic hepatitis C (n = 379), hepatitis B (n = 400), or nonalcoholic fatty liver disease (n = 156). AUROCs of 2D-SWE in patients with hepatitis C, hepatitis B, and nonalcoholic fatty liver disease were 86.3%, 90.6%, and 85.5% for diagnosing significant fibrosis and 92.9%, 95.5%, and 91.7% for diagnosing cirrhosis, respectively. The AUROC of 2D-SWE was 0.022-0.084 (95% confidence interval) larger than the AUROC of transient elastography for diagnosing significant fibrosis (P = 0.001) and 0.003-0.034 for diagnosing cirrhosis (P = 0.022) in all patients. This difference was strongest in hepatitis B patients.

conclusion2D-SWE has good to excellent performance for the noninvasive staging of liver fibrosis in patients with hepatitis B; further prospective studies are needed for head-to-head comparison between 2D-SWE and other imaging modalities to establish disease-specific appropriate cutoff points for assessment of fibrosis stage. (Hepatology 2018;67:260-272).

Indexed as

AdolescentAdultAgedAged, 80 and overBiopsy, NeedleDatabases, FactualDisease ProgressionElasticity Imaging TechniquesFemaleFollow-Up StudiesHepatitis B, ChronicHepatitis C, ChronicHumansImmunohistochemistryLiver CirrhosisMale

Identifiers

PMID28370257
PMCPMC5765493

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Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.