Evidence mapPaperPMID 41315081Full record

SynthesisJournal of medical ultrasonics (2001)2026

Diagnostic performance of ultrasound attenuation imaging in detecting hepatic steatosis.

Hamed Naghibi, Madjid Shakiba, Narges Azizi

Abstract readSystematic ReviewMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Journal of medical ultrasonics (2001), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

3 authors.

Hamed NaghibiAdvanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran.ORCID http://orcid.org/0000-0002-2946-7697
Madjid ShakibaAdvanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran.
Narges AziziAdvanced Diagnostic and Interventional Radiology Research Center (ADIR), Tehran University of Medical Sciences, Tehran, Iran. Nargesazizi05@gmail.com.ORCID http://orcid.org/0000-0003-2464-2473

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeHepatic steatosis is a hallmark of metabolic dysfunction-associated steatotic liver disease, and increased hepatic fat (or steatosis) is associated with liver inflammation, fibrosis, and adverse outcomes. While MRI-derived proton density fat fraction (MRI-PDFF) is an accurate noninvasive reference standard, ultrasound attenuation imaging (UAI) offers an accessible cost-effective alternative. We herein systematically review and meta-analyze the accuracy of UAI in grading hepatic steatosis.

methodsWe searched Embase, PubMed/Medline, Scopus, and Web of Science through December 22, 2024, for studies comparing UAI with MRI-PDFF. Data on diagnostic performance were extracted from eligible studies. Pooled diagnostic odds ratios (DOR), sensitivity, specificity, likelihood ratios, and areas under the curve (AUCs) were calculated using random-effects models, with heterogeneity assessed through I

resultsTwelve studies with a total of 3344 patients were included. For differentiating grade 0 from grade ≥ 1 steatosis, the pooled AUC was 0.82 (95% CI 0.78-0.85) and DOR was 21.10 (I

conclusionUAI exhibits good diagnostic accuracy for grading hepatic steatosis and offers a practical, noninvasive alternative to MRI-PDFF, being particularly well-suited for screening and patient follow-up. Standardized protocols and further multicenter studies are needed to promote its clinical application.

Indexed as

Fatty LiverHumansLiverMagnetic Resonance ImagingSensitivity and SpecificityUltrasonographyLiverMeta-analysisNon-alcoholic fatty liver diseaseSteatosisUltrasound attenuation imaging

Identifiers

What Socratic holds

Textmetadata
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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 Socratic graph.