Evidence map›Paper›PMID 41199085›Full record

ArticleInsights into imaging2025

Quantitative assessment of hepatic steatosis by ultrasound-guided attenuation parameter in patients with impaired glucose tolerance.

Ruixia Gao, Jiahao Han, Danlei Song, Pingping Wang, Huihui Chen, Huiming Shen, Jia Li

Abstract read
In one paragraph

Article in Insights into imaging, 2025. 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

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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

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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.

Ruixia Gao *Medical School, Southeast University, Nanjing, China.
Jiahao Han *Medical School, Southeast University, Nanjing, China.
Danlei SongDepartment of Ultrasonography, Zhong Da Hospital, Medical School, Southeast University, Nanjing, China.
Pingping WangDepartment of Ultrasonography, Zhong Da Hospital, Medical School, Southeast University, Nanjing, China.
Huihui ChenMedical School, Southeast University, Nanjing, China.
Huiming ShenDepartment of Ultrasonography, Zhong Da Hospital, Medical School, Southeast University, Nanjing, China. shhm1974@sina.com.
Jia LiDepartment of Ultrasonography, Zhong Da Hospital, Medical School, Southeast University, Nanjing, China. 13951609892@163.com.ORCID http://orcid.org/0000-0003-0318-8961

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesOur objective was to provide further evidence regarding the diagnostic accuracy of ultrasound-guided attenuation parameter (UGAP) for detecting hepatic steatosis in a selected and homogeneous cohort of patients with impaired glucose tolerance using magnetic resonance imaging-proton density fat fraction (MRI-PDFF) as the standard reference method. MATERIALS AND

methodsFrom October 2023 to March 2024, individuals with impaired glucose tolerance and suspected metabolic dysfunction-associated steatotic liver disease (MASLD) who underwent abdominal ultrasound and MRI-PDFF were enrolled in this prospective study. Multivariable linear regression was performed to assess independent factors associated with UGAP. The correlation between UGAP, and MRI-PDFF was evaluated using the Pearson correlation coefficient. The diagnostic performance of the UGAP for hepatic steatosis was assessed using the area under the receiver operating characteristic curve (AUC).

resultsA total of 193 participants (median age, 35 years; IQR, 25-48 years; 98 male) were evaluated, including 90 participants (47%) with MASLD. Body mass index (BMI), waist circumference, and skin-liver capsule distance were independently associated with UGAP. UGAP was strongly and positively correlated with MRI-PDFF (r = 0.890, p < 0.001). The AUCs of UGAP for diagnosing hepatic steatosis ≥ S1 (MRI-PDFF ≥ 6.4%), ≥ S2 (MRI-PDFF ≥ 17.4%), and ≥ S3 (MRI-PDFF ≥ 22.1%) were 0.980 (95% CI: 0.957-1.000), 0.955 (95% CI: 0.912-0.999), and 0.985 (95% CI: 0.970-1.000), respectively.

conclusionsUGAP could accurately diagnose hepatic steatosis and estimate the hepatic fat fraction. CRITICAL RELEVANCE STATEMENT: UGAP has high diagnostic performance for hepatic steatosis. UGAP offers a method of quantifying liver fat content similar to MRI-PDFF, which is anticipated to be beneficial in the long-term monitoring of patients with impaired glucose tolerance. KEY POINTS: Hepatic steatosis is an early factor that causes liver damage in MASLD. UGAP has an accurate diagnostic performance for hepatic steatosis. UGAP was positively correlated with MRI- proton density fat fraction. Some clinical parameters may affect UGAP measurement.

Indexed as

Fatty liverMagnetic resonance imagingUltrasound

Identifiers

PMID41199085
PMCPMC12592611

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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.