Evidence map›Paper›PMID 41059683›Full record

ArticleUnited European gastroenterology journal2025

Marked Variation in Hepatic Steatosis in Metabolic Dysfunction-Associated Steatotic Liver Disease Over 5 Years: A Community-Based Study Using Controlled Attenuation Parameter.

Marta Cervera, Martina Pérez-Guasch, Marta Carol, Ruth Nadal, Maria Sanz-Rodríguez, Adrià Juanola, Anna Soria, Rosario Hernández, Gemma Saez, Míriam Pellón and 5 more

Abstract read
In one paragraph

Article in United European gastroenterology journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

15 authors.

Marta CerveraLiver Unit, Hospital Clínic de Barcelona, Barcelona, Spain.ORCID https://orcid.org/0000-0002-6806-8736
Martina Pérez-GuaschLiver Unit, Hospital Clínic de Barcelona, Barcelona, Spain.
Marta CarolFacultat de Medicina i Ciències de la Salut, Universitat de Barcelona (UB), Barcelona, Spain.
Ruth NadalFundació de Recerca Clínic Barcelona-Institut d'Investigacions Biomèdiques August Pi i Sunyer (FRCB-IDIBAPS), Barcelona, Spain.
Maria Sanz-RodríguezFacultat de Medicina i Ciències de la Salut, Universitat de Barcelona (UB), Barcelona, Spain.
Adrià JuanolaLiver Unit, Hospital Clínic de Barcelona, Barcelona, Spain.
Anna SoriaLiver Unit, Hospital Clínic de Barcelona, Barcelona, Spain.ORCID https://orcid.org/0000-0001-5671-8343
Rosario HernándezCentre d'Atenció Primària La Marina, Institut Català de la Salut (ICS), Barcelona, Spain.
Gemma SaezCentre d'Atenció Primària La Marina, Institut Català de la Salut (ICS), Barcelona, Spain.
Míriam PellónLiver Unit, Hospital Clínic de Barcelona, Barcelona, Spain.
Queralt HermsLiver Unit, Hospital Clínic de Barcelona, Barcelona, Spain.
Elisa PoseLiver Unit, Hospital Clínic de Barcelona, Barcelona, Spain.
Pere GinèsLiver Unit, Hospital Clínic de Barcelona, Barcelona, Spain.ORCID https://orcid.org/0000-0003-4657-4504
Isabel GrauperaLiver Unit, Hospital Clínic de Barcelona, Barcelona, Spain.
Núria FabrellasFundació de Recerca Clínic Barcelona-Institut d'Investigacions Biomèdiques August Pi i Sunyer (FRCB-IDIBAPS), Barcelona, Spain.

Funding

European Regional Development FundHorizon 2020 Framework Program 847989Instituto de Salud Carlos III FIS 18/01330
6 · The paper itself

Abstract

backgroundMetabolic dysfunction-associated steatotic liver disease (MASLD) is very common and associated with significant morbidity and mortality due to its potential progression to cirrhosis and liver cancer. Whereas hepatic fat accumulation is the key to MASLD progression, little is known regarding changes in liver fat content over time in the general population. We aimed to investigate changes in liver fat in a longitudinal study of the general population.

methodsWe conducted a longitudinal study involving 195 randomly selected individuals from the general population, evaluated at two time points, 5 years apart. Participants with hepatic steatosis at baseline did not receive any specific treatment. The primary objective was to assess changes in liver fat content, as estimated by controlled attenuation parameter (CAP) using transient elastography. We also examined the frequency of steatosis resolution and development. CAP variability was assessed in two measurements 7 days apart in a cross-sectional study of 101 volunteers, with a mean variability of 9.9%. Steatosis resolution was defined as reduction of CAP > 10% from baseline with a final value < 275 dB/m, while steatosis development was defined as increase in CAP > 10% with a final value ≥ 275 dB/m.

resultsRemarkable variations in liver fat content were observed. Among the 88 participants with steatosis at baseline, 34% had resolution of steatosis (CAP decreased from 300 to 237 dB/m; p < 0.001). Resolution was associated with weight loss and reductions in transaminases and gamma-glutamyl transferase levels. In contrast, 29% of the 107 participants without steatosis at baseline developed it during follow-up. Increase in liver stiffness measurement (≥ 8 kPa) was associated only with persistent hepatic steatosis but not with steatosis resolution.

conclusionsThere is marked variation in liver fat content among participants from the general population over a period of 5 years, indicating its dynamic nature. These variations should be considered in epidemiological studies of MASLD.

Indexed as

Fatty LiverLiverNon-alcoholic Fatty Liver DiseaseAdultAgedCross-Sectional StudiesDisease ProgressionElasticity Imaging TechniquesFemaleHumansLongitudinal StudiesMaleMiddle Agedcontrolled attenuation parameterhepatic steatosisliver fat contentmetabolic dysfunction‐associated steatotic liver disease (MASLD)steatotic liver diseasetransient elastography

Identifiers

PMID41059683
PMCPMC12704556

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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.