Evidence map›Paper›PMID 38648501›Full record

ArticleJournal of clinical gastroenterology2025

Endoscopic Ultrasound-based Shear Wave Elastography for Detection of Advanced Liver Disease.

Jad AbiMansour, Jerry Yung-Lun Chin, Jyotroop Kaur, Eric J Vargas, Barham K Abu Dayyeh, Ryan Law, Vishal Garimella, Michael J Levy, Andrew C Storm, Ross Dierkhising and 3 more

Open access · greenAbstract read
In one paragraph

Article in Journal of clinical gastroenterology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

11 citing papers in PubMed, 9 citations in OpenAlex.

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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

13 authors at 2 institutions in 1 country.

Jad AbiMansourDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Department of Internal Medicine.
Jerry Yung-Lun ChinDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Department of Internal Medicine.
Jyotroop KaurDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Department of Internal Medicine.
Eric J VargasDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Department of Internal Medicine.
Barham K Abu DayyehDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Department of Internal Medicine.
Ryan LawDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Department of Internal Medicine.
Vishal GarimellaDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Department of Internal Medicine.
Michael J LevyDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Department of Internal Medicine.
Andrew C StormDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Department of Internal Medicine.
Ross DierkhisingDepartment of Quantitative Health Sciences, Division of Clinical Trials and Biostatistics.
Alina AllenDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Department of Internal Medicine.
Sudhakar VenkateshDepartment of Radiology, Mayo Clinic, Rochester, MN.
Vinay ChandrasekharaDivision of Gastroenterology and Hepatology, Department of Internal Medicine, Department of Internal Medicine.
Mayo Clinic in Arizona · USQuantitative BioSciences · US

Funding

Project 4: ImmunovirotherapyP50CA210964 · NCI · MAYO CLINIC ROCHESTER · PI Zongming Eric Chen · 2018 to 2026
$20.5M
Magnetic Resonance ElastographyR37EB001981 · NIBIB · MAYO CLINIC ROCHESTER · PI EHMAN, RICHARD L. · 2016 to 2025
$4.0M
Magnetic Resonance ElastographyR01EB001981 · NIBIB · MAYO CLINIC ROCHESTER · PI EHMAN, RICHARD L. · 2003 to 2013
$3.1M
NCI NIH HHS P50 CA210964NIBIB NIH HHS R01 EB001981NIBIB NIH HHS R37 EB001981
6 · The paper itself

Abstract

BACKGROUND AND

aimsEndoscopic ultrasound shear wave elastography (EUS-SWE) is a novel modality for liver stiffness measurement. The aims of this study are to evaluate the performance and reliability of EUS-SWE for detecting advanced liver disease in a prospective cohort.

methodsEUS-SWE measurements were prospectively obtained from patients undergoing EUS between August 2020 and March 2023. Liver stiffness measurements were compared between patients with and without advanced liver disease (ALD), defined as stage ≥3, to determine diagnostic accuracy for advanced fibrosis and portal hypertension. Logistic regression was performed to identify variables that impact the reliability of EUS-SWE readings. Select patients underwent paired magnetic resonance elastography (MRE) for liver fibrosis correlation.

resultsPatients with ALD demonstrated higher liver stiffness compared to healthy controls (left lobe: 17.6 vs. 12.7 kPa, P <0.001; median right lobe: 24.8 vs. 11.0 kPa, P <0.001). The area under the receiver operator characteristic (AUROC) for the detection of ALD was 0.73 and 0.80 for left and right lobe measurements, respectively. General anesthesia was associated with reliable EUS-SWE liver readings (odds ratio: 2.73, 95% CI: 1.07-7.39, P =0.040). Left lobe measurements correlated significantly with MRE with an increase of 0.11 kPa (95% CI: 0.05-0.17 kPA) for every 1 kPa increase on EUS-SWE. D.

conclusionsSWE is a promising technology that can readily be incorporated into standard EUS examinations for the assessment of ALD.

Indexed as

Elasticity Imaging TechniquesEndosonographyLiver CirrhosisLiver DiseasesAdultAgedFemaleHumansHypertension, PortalLiverMaleMiddle AgedProspective StudiesReproducibility of ResultsROC Curve

Identifiers

PMID38648501
PMCPMC11496376
OpenAlexW4395013026

What OpenQuestion holds

Textmetadata
LicenceTDM
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.