Evidence map›Paper›PMID 37644806›Full record

ArticleUltrasonography (Seoul, Korea)2023

Two-dimensional shear wave elastography (ElastQ) accurately rules out liver fibrosis and rules in advanced chronic liver disease across liver disease etiologies: a prospective multicenter study.

David J M Bauer, Annalisa De SilvestriI, Ruxandra Mare, Laura Maiocchi, Ambra Raimondi, Georg Semmler, Mattias Mandorfer, Ioan Sporea, Giovanna Ferraioli, Thomas Reiberger

Open access · diamondAbstract read
In one paragraph

Article in Ultrasonography (Seoul, Korea), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.5field-weighted citation impact, top 16% of its field
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. Prognostication of Liver Disease Patients via the WFUMB 'Rule-of-4' Algorithm Using SSI-2D-SWE-Based Liver Stiffness Measurement.Liver international : official journal of the International Association for the Study of the Liver · 2026
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 4 institutions in 3 countries.

David J M BauerDivision of Gastroenterology & Hepatology, Department of Medicine III, Medical University of Vienna, Vienna, Austria.
Annalisa De SilvestriIClinical Epidemiology and Biometric Unit, Fondazione I.R.C.C.S. Policlinico San Matteo, Pavia, Italy.
Ruxandra MareDepartment of Internal Medicine II, Division of Gastroenterology & Hepatology, Center for Advanced Research in Gastroenterology and Hepatology, Victor Babes University of Medicine and Pharmacy Timisoara, Timisoara, Romania.
Laura MaiocchiClinical Sciences and Infectious Diseases Department, Fondazione I.R.C.C.S. Policlinico San Matteo, Pavia, Italy.
Ambra RaimondiClinical Sciences and Infectious Diseases Department, Fondazione I.R.C.C.S. Policlinico San Matteo, Pavia, Italy.
Georg SemmlerDivision of Gastroenterology & Hepatology, Department of Medicine III, Medical University of Vienna, Vienna, Austria.
Mattias MandorferDivision of Gastroenterology & Hepatology, Department of Medicine III, Medical University of Vienna, Vienna, Austria.
Ioan SporeaDepartment of Internal Medicine II, Division of Gastroenterology & Hepatology, Center for Advanced Research in Gastroenterology and Hepatology, Victor Babes University of Medicine and Pharmacy Timisoara, Timisoara, Romania.
Giovanna FerraioliDepartment of Clinical, Surgical, Diagnostic and Pediatric Sciences, Medical University of Pavia, Pavia, Italy.
Thomas ReibergerDivision of Gastroenterology & Hepatology, Department of Medicine III, Medical University of Vienna, Vienna, Austria.
Medical University of Vienna · ATPoliclinico San Matteo Fondazione · ITUniversity of Pavia · ITVictor Babeș University of Medicine and Pharmacy Timișoara · RO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study evaluated ElastQ, a two-dimensional shear wave elastography (2D-SWE) technique, for the non-invasive assessment of liver fibrosis risk using liver stiffness measurement (LSM). The aim was to determine its diagnostic accuracy and establish LSM cutoffs for clinical risk stratification.

methodsA prospective multicenter study was conducted, employing vibration-controlled transient elastography (VCTE) as a reference standard. The statistical analysis utilized Pearson correlations and Lin concordance correlation coefficients, diagnostic areas under the curve (AUCs), and 90%-specific rule-in and 90%-sensitive rule-out ElastQ cutoffs.

resultsThe study included 875 patients at risk for liver disease, of whom 816 (376 women, 46.1%; median age, 57.0 years [interquartile range, 19.0]) had successful and reliable VCTE- and ElastQ-LSMs. The median LSM was 13.0 kPa (range, 2.0 to 75.0 kPa) for VCTE and 6.6 kPa (range, 2.9 to 26.5 kPa) for ElastQ. The correlation between VCTE-LSM and ElastQ-LSM was adequate for VCTE-LSM <15 kPa (Pearson r=0.63) but lower for VCTE-LSM ≥15.0 kPa (Pearson r=0.27). VCTE-LSM indicated no fibrosis risk (<5.0 kPa) in 178 cases (21.8%), gray zone (5.0-9.9 kPa) in 347 cases (42.5%), and advanced chronic liver disease (ACLD; ≥10.0 kPa) in 291 cases (35.7%). The diagnostic AUC for ElastQ-LSM was 0.82 for fibrosis risk and 0.90 for ACLD. The clinically relevant ElastQ cutoffs for ruling out fibrosis risk and ruling in compensated ACLD (cACLD) were <5.0 kPa and ≥9.0 kPa, respectively.

conclusionElastQ 2D-SWE enables accurate, non-invasive assessments of liver fibrosis and cACLD risk. In clinical practice, ElastQ-LSM <5.0 kPa rules out fibrosis, while ElastQ-LSM ≥9.0 kPa rules in cACLD.

Indexed as

Compensated advanced chronic liver diseaseNon-invasive, chronic liver diseaseTwo-dimensional shear wave elastographyUltrasound

Identifiers

PMID37644806
PMCPMC10555684
OpenAlexW4386271665

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.