Evidence map›Paper›PMID 38316132›Full record

ArticleUltrasonography (Seoul, Korea)2024

Advanced fibrosis leads to overestimation of steatosis with quantitative ultrasound in individuals without hepatic steatosis.

Takashi Kumada, Hidenori Toyoda, Sadanobu Ogawa, Tatsuya Gotoh, Yasuaki Suzuki, Kento Imajo, Katsutoshi Sugimoto, Tatsuya Kakegawa, Hidekatsu Kuroda, Yutaka Yasui and 6 more

Open access · diamondAbstract read
In one paragraph

Article in Ultrasonography (Seoul, Korea), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

7 citing papers in PubMed, 8 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

16 authors at 9 institutions in 1 country.

Takashi KumadaDepartment of Nursing, Faculty of Nursing, Gifu Kyoritsu University, Ogaki, Japan.
Hidenori ToyodaDepartment of Gastroenterology and Hepatology, Ogaki Municipal Hospital, Ogaki, Japan.
Sadanobu OgawaDepartment of Imaging Diagnosis, Ogaki Municipal Hospital, Ogaki, Japan.
Tatsuya GotohDepartment of Imaging Diagnosis, Ogaki Municipal Hospital, Ogaki, Japan.
Yasuaki SuzukiDepartment of Gastroenterology, Nayoro City General Hospital, Nayoro, Japan.
Kento ImajoDepartment of Gastroenterology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Katsutoshi SugimotoDepartment of Gastroenterology and Hepatology, Tokyo Medical University, Tokyo, Japan.
Tatsuya KakegawaDepartment of Gastroenterology and Hepatology, Tokyo Medical University, Tokyo, Japan.
Hidekatsu KurodaDivision of Hepatology, Department of Internal Medicine, Iwate Medical University, Morioka, Japan.
Yutaka YasuiDepartment of Gastroenterology and Hepatology, Musashino Red Cross Hospital, Musashino-shi, Japan.
Nobuharu TamakiDepartment of Gastroenterology and Hepatology, Musashino Red Cross Hospital, Musashino-shi, Japan.
Masayuki KurosakiDepartment of Gastroenterology and Hepatology, Musashino Red Cross Hospital, Musashino-shi, Japan.
Namiki IzumiDepartment of Gastroenterology and Hepatology, Musashino Red Cross Hospital, Musashino-shi, Japan.
Tomoyuki AkitaDepartment of Epidemiology, Infectious Disease Control, and Prevention, Hiroshima University Institute of Biomedical and Health Sciences, Hiroshima, Japan.
Junko TanakaDepartment of Epidemiology, Infectious Disease Control, and Prevention, Hiroshima University Institute of Biomedical and Health Sciences, Hiroshima, Japan.
Atsushi NakajimaDepartment of Gastroenterology, Yokohama City University Graduate School of Medicine, Yokohama, Japan.
Musashino Red Cross Hospital · JPOgaki Municipal Hospital · JPHiroshima University · JPTokyo Medical University · JPGifu Kyoritsu University · JPIwate Medical University · JPMidorigaoka Hospital · JPNayoro City General Hospital · JPYokohama City University · JP

Funding

GE Healthcare
6 · The paper itself

Abstract

purposeThe effect of hepatic fibrosis stage on quantitative ultrasound based on the attenuation coefficient (AC) for liver lipid quantification is controversial. The objective of this study was to determine how the degree of fibrosis assessed by magnetic resonance (MR) elastography affects AC based on the ultrasound-guided attenuation parameter according to the grade of hepatic steatosis, using magnetic resonance imaging (MRI)-derived proton density fat fraction (MRIderived PDFF) as the reference standard.

methodsBetween February 2020 and April 2021, 982 patients with chronic liver disease who underwent AC and MRI-derived PDFF measurement as well as MR elastography were enrolled. Multiple regression was used to investigate whether AC was affected by the degree of liver stiffness.

resultsAC increased as liver stiffness progressed in 344 patients without hepatic steatosis (P=0.009). In multivariable analysis, AC was positively correlated with skin-capsule distance (P<0.001), MR elastography value (P=0.037), and MRI-derived PDFF (P<0.001) in patients without hepatic steatosis. In 52 of 982 patients (5%), the correlation between AC and MRIderived PDFF fell outside the 95% confidence interval for the regression line slope. Patients with MRI-derived PDFF lower than their AC (n=36) had higher fibrosis-4 scores, albumin-bilirubin scores, and MR elastography values than patients with MRI-derived PDFF greater than their AC (n=16; P=0.018, P=0.001, and P=0.011, respectively).

conclusionAC is affected by liver fibrosis (MR elastography value ≥6.7 kPa) only in patients without hepatic steatosis (MRI-derived PDFF <5.2%). These values should be interpreted with caution in patients with advanced liver fibrosis.

Indexed as

Attenuation coefficientHepatic steatosisLiver stiffnessMR elastographyMRI-derived proton density fat fraction

Identifiers

PMID38316132
PMCPMC10915114
OpenAlexW4391549143

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LicenceCC BY-NC
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Registered trials

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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.