Evidence map›Paper›PMID 38934108›Full record

ReviewClinical and molecular hepatology2025

Role of noninvasive tests in the prognostication of metabolic dysfunction-associated steatotic liver disease.

Yue Wang, Sherlot Juan Song, Yichong Jiang, Jimmy Che-To Lai, Grace Lai-Hung Wong, Vincent Wai-Sun Wong, Terry Cheuk-Fung Yip

Abstract readReview
In one paragraph

Review in Clinical and molecular hepatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–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.

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

22 citing papers in PubMed.

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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

7 authors.

Yue WangMedical Data Analytic Center, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China.
Sherlot Juan SongMedical Data Analytic Center, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China.
Yichong JiangMedical Data Analytic Center, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China.
Jimmy Che-To LaiMedical Data Analytic Center, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China.
Grace Lai-Hung WongMedical Data Analytic Center, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China.
Vincent Wai-Sun WongMedical Data Analytic Center, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China.
Terry Cheuk-Fung YipMedical Data Analytic Center, Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China.

Funding

Gilead SciencesIlluminatio Medical Technology
6 · The paper itself

Abstract

In managing metabolic dysfunction-associated steatotic liver disease, which affects over 30% of the general population, effective noninvasive biomarkers for assessing disease severity, monitoring disease progression, predicting the development of liver-related complications, and assessing treatment response are crucial. The advantage of simple fibrosis scores lies in their widespread accessibility through routinely performed blood tests and extensive validation in different clinical settings. They have shown reasonable accuracy in diagnosing advanced fibrosis and good performance in excluding the majority of patients with a low risk of liver-related complications. Among patients with elevated serum fibrosis scores, a more specific fibrosis and imaging biomarker has proved useful to accurately identify patients at risk of liver-related complications. Among specific fibrosis blood biomarkers, enhanced liver fibrosis is the most widely utilized and has been approved in the United States as a prognostic biomarker. For imaging biomarkers, the availability of vibration-controlled transient elastography has been largely improved over the past years, enabling the use of liver stiffness measurement (LSM) for accurate assessment of significant and advanced fibrosis, and cirrhosis. Combining LSM with other routinely available blood tests enhances the ability to diagnose at-risk metabolic dysfunction-associated steatohepatitis and predict liver-related complications, some reaching an accuracy comparable to that of liver biopsy. Magnetic resonance imaging-based modalities provide the most accurate quantification of liver fibrosis, though the current utilization is limited to research settings. Expanding their future use in clinical practice depends on factors such as cost and facility availability.

Indexed as

Fatty LiverBiomarkersElasticity Imaging TechniquesHumansLiverLiver CirrhosisPrognosisSeverity of Illness IndexBiomarkersCirrhosisHepatocellular carcinomaMASLDMetabolic-associated fatty liver diseaseNonalcoholic fatty liver disease

Identifiers

PMID38934108
PMCPMC11925434

What OpenQuestion holds

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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.