Evidence map›Paper›PMID 38735655›Full record

ArticleJournal of obesity & metabolic syndrome2024

Muscle Quality as a Potential Diagnostic Marker of Advanced Liver Fibrosis in Patients with Non-alcoholic Fatty Liver Disease.

Natsumi Oshida, Sechang Oh, Bokun Kim, Ikuru Miura, Naoyuki Hasegawa, Shoichi Komine, Tomonori Isobe, Junichi Shoda

Abstract read
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Article in Journal of obesity & metabolic syndrome, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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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

8 authors.

Natsumi OshidaDivision of Laboratory Medicine, Tsukuba University Hospital, Tsukuba, Japan.
Sechang OhFaculty of Rehabilitation, R Professional University of Rehabilitation, Tsuchiura, Japan.
Bokun KimFuture Convergence Research Institute, Changwon National University, Changwon, Korea.
Ikuru MiuraFaculty of Sports and Health Science, Fukuoka University, Fukuoka, Japan.
Naoyuki HasegawaDepartment of Medical Sciences, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan.
Shoichi KomineFaculty of Human Care, Teikyo Heisei University, Tokyo, Japan.
Tomonori IsobeDepartment of Medical Sciences, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan.
Junichi ShodaDepartment of Medical Sciences, Faculty of Medicine, University of Tsukuba, Tsukuba, Japan.ORCID https://orcid.org/0000-0001-9374-994X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Muscle-liver crosstalk plays an important role in the development and progression of non-alcoholic fatty liver disease (NAFLD). The measurement of muscle echo-intensity during ultrasonography is a real-time, non-invasive method of assessing muscle quality. In this retrospective study, we investigated the significance of poor muscle quality (namely, a greater mass of non-contractile tissue, including intramuscular fat) as a risk factor for advanced liver fibrosis and considered whether it may represent a useful tool for the diagnosis of advanced liver fibrosis. Methods: We analyzed data from 307 patients with NAFLD (143 men and 164 women) who visited the University of Tsukuba Hospital between 2017 and 2022. The patients were stratified into the following tertiles of muscle quality according to their muscle echo-intensity on ultrasonography: modest (84.1 arbitrary units [A.U.]), intermediate (97.4 A.U.), and poor (113.6 A.U.). We then investigated the relationships between muscle quality and risk factors for advanced liver fibrosis and calculated appropriate cutoff values. Results: Patients with poor muscle quality showed a significant, 7.6-fold greater risk of liver fibrosis compared to those with modest muscle quality. Receiver operating characteristic curve analysis showed that muscle quality assessment was as accurate as the fibrosis-4 index and NAFLD fibrosis score in screening for liver fibrosis and superior to the assessment of muscle quantity and strength, respectively. Importantly, a muscle echo-intensity of ≥92.4 A.U. may represent a useful marker of advanced liver fibrosis. Conclusion: Muscle quality may represent a useful means of identifying advanced liver fibrosis, and its assessment may become a useful screening tool in daily practice.

Indexed as

Intramuscular fatLiver cirrhosisMuscle echo-intensityMuscle qualityNon-alcoholic fatty liver diseaseNon-alcoholic steatohepatitisSarcopenia

Identifiers

PMID38735655
PMCPMC11224921

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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.