Evidence map›Paper›PMID 40941559›Full record

ArticleHealthcare (Basel, Switzerland)2025

Fatigue in Metabolic Dysfunction-Associated Steatotic Liver Disease: Links to Muscle Function, Hypoxia, and Hypertension.

Anna F Sheptulina, Adel A Yafarova, Elvira M Mamutova, Oxana M Drapkina

Abstract read
In one paragraph

Article in Healthcare (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Anna F SheptulinaLaboratory of Experimental and Preventive Gastroenterology, National Medical Research Center for Therapy and Preventive Medicine, Moscow 101990, Russia.ORCID 0000-0001-7230-0780
Adel A YafarovaLaboratory of Experimental and Preventive Gastroenterology, National Medical Research Center for Therapy and Preventive Medicine, Moscow 101990, Russia.
Elvira M MamutovaLaboratory of Experimental and Preventive Gastroenterology, National Medical Research Center for Therapy and Preventive Medicine, Moscow 101990, Russia.
Oxana M DrapkinaDepartment of Fundamental and Applied Aspects of Obesity, National Medical Research Center for Therapy and Preventive Medicine, Moscow 101990, Russia.ORCID 0000-0003-0323-2635

Funding

Russian Science Foundation 23-45-10030
6 · The paper itself

Abstract

BACKGROUND/

objectivesFatigue is the most common systemic manifestation of chronic liver diseases, including metabolic dysfunction-associated steatotic liver disease (MASLD). Fatigue not only adversely affects quality of life in MASLD patients but also complicates the attainment of therapeutic goals and contributes to a worse prognosis. This study aimed to analyze the relationship between clinically significant fatigue and laboratory parameters reflecting systemic inflammation, liver function, body composition, muscle strength, and blood pressure in patients with MASLD.

methodsA total of 154 patients with a confirmed diagnosis of MASLD were enrolled in this study. All participants underwent anthropometric assessment, laboratory testing, abdominal ultrasonography, and point shear-wave elastography. Muscle strength was evaluated using handgrip strength (GS) measurement and the Five Times Sit-to-Stand Test (5TSTS). Skeletal muscle mass (SMM) was quantified using dual-energy X-ray absorptiometry (DXA). Fatigue was evaluated using the Fatigue Assessment Scale (FAS), with scores ≥ 22 indicating clinically significant fatigue.

resultsPatients with FAS scores ≥ 22 exhibited significantly lower hemoglobin levels (

conclusionsThese findings underscore the multifactorial nature of fatigue in MASLD and highlight the need for a comprehensive management strategy. Such a strategy should include dietary modification, increased physical activity, targeted treatment of systemic manifestations of MASLD, and appropriate management of comorbidities.

Indexed as

blood pressure (BP)fatiguehypoxiametabolic dysfunction-associated steatotic liver disease (MASLD)muscle strength

Identifiers

PMID40941559
PMCPMC12428760

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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.