Evidence map›Paper›PMID 42043861›Full record

ArticleHepatology communications2026

Multi-threshold analysis of the ELF Test versus histology for prognostication of disease progression and regression in MASH.

Matthew F W Gee, Rachel Fonstad, Edward B De Vol, Chadwick Brown, Jordan J Feld, Keyur Patel, Arun J Sanyal

Abstract readComparative Study
In one paragraph

Article in Hepatology communications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Matthew F W GeeInstitute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.ORCID 0009-0005-3931-0625
Rachel FonstadSiemens Healthcare Diagnostics Inc., Tarrytown, New York, USA.ORCID 0009-0002-8894-7217
Edward B De VolSiemens Healthcare Diagnostics Inc., Tarrytown, New York, USA.ORCID 0000-0001-9689-128
Chadwick BrownSiemens Healthcare Diagnostics Inc., Tarrytown, New York, USA.ORCID 0009-0002-9988-8144
Jordan J FeldInstitute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0003-2640-2211
Keyur PatelInstitute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0002-4677-3127
Arun J SanyalStravitz-Sanyal Institute for Liver Disease and Metabolic Health, Division of Gastroenterology, Hepatology and Nutrition, Virginia Commonwealth University School of Medicine, Richmond, Virginia, USA.ORCID 0000-0001-8682-5748

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPatients with metabolic dysfunction-associated steatohepatitis (MASH) with advanced fibrosis are at risk for progression to cirrhosis and clinical outcomes, but can also experience fibrosis regression. The aim of this study was to compare risk stratification by the Enhanced Liver Fibrosis (ELF) Test to histological staging to assess patients at risk of disease progression and those likely to experience histological regression.

methodsUsing pooled data from 6 large placebo-controlled trials of 2710 patients with advanced fibrosis due to MASH, 4 analyses of ELF and fibrosis stage were performed to evaluate the association with the following events: (1) liver-related clinical outcomes; (2) progression from bridging fibrosis to cirrhosis; (3) regression from bridging fibrosis; (4) regression from cirrhosis. Significance was assessed by interval likelihood ratio (iLR), Cox proportional hazard ratio (HR), and area under the receiver operator characteristic curve (AUROC).

resultsIn 2304 participants (17.8 mo mean follow-up), there was a progressive rise in liver-related outcome risk with increasing baseline ELF score [<9.00 (0%), ≥9.00 to <9.80 (2%), ≥9.80 to <11.30 (4%), ≥11.30 to <12.80 (13%), ≥12.80 (40%)]. In 1414 patients with bridging fibrosis, increasing baseline ELF scores were associated with a higher risk of progression to cirrhosis [<9.80 (9%), ≥9.80 to <11.30 (18%), ≥11.30 (45%)] and a lower likelihood of histological regression. In 1690 patients with cirrhosis, increasing baseline ELF scores were associated with a lower likelihood of histological regression [<9.80 (33%), ≥9.80 to <11.30 (16%), ≥11.30 (6%)]. In all analyses, the ELF Test provided more detailed information than histology.

conclusionsThe ELF Test adds risk strata that are significantly different from fibrosis staging for the prediction of clinical events and histological changes, thereby improving risk stratification.

Indexed as

Fatty LiverLiverLiver CirrhosisDisease ProgressionFemaleHumansMaleMiddle AgedPrognosisProportional Hazards ModelsRisk AssessmentEnhanced Liver Fibrosis (ELF) Testliver-related clinical outcomesmetabolic dysfunction–associated steatohepatitis (MASH)metabolic dysfunction–associated steatotic liver disease (MASLD)prognosis

Identifiers

PMID42043861
PMCPMC13120574

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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.