Evidence mapPaperPMID 39044153Full record

ArticleBMC gastroenterology2024

Exploring factors associated with non-alcoholic fatty liver disease using longitudinal MRI.

Friedrich Horn, Till Ittermann, Marie-Luise Kromrey, Danilo Seppelt, Henry Völzke, Jens-Peter Kühn, Felix Schön

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Article in BMC gastroenterology, 2024. 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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1 · What the graph read from it

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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

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Friedrich Horn *Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany.
Till Ittermann *Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.
Marie-Luise KromreyInstitute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany.
Danilo SeppeltInstitute and Policlinic for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.
Henry VölzkeInstitute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.
Jens-Peter Kühn *Institute and Policlinic for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany. jens-peter.kuehn@uniklinikum-dresden.de.
Felix Schön *Institute and Policlinic for Diagnostic and Interventional Radiology, Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo identify factors associated with non-alcoholic fatty liver disease over a 5-year period.

methodsThree hundred seven participants, including 165 women, with a mean age of 55.6 ± 12.0 years underwent continuous quantitative MRI of the liver using the proton-density fat fraction (PDFF). The liver's fat fractions were determined at baseline and 5 years later, and the frequency of participants who developed fatty liver disease and potential influencing factors were explored. Based on significant factors, a model was generated to predict the development of fatty liver disease.

resultsAfter excluding participants with pre-existing fatty liver, the baseline PDFF of 3.1 ± 0.9% (n = 190) significantly increased to 7.67 ± 3.39% within 5 years (p < 0.001). At baseline, age (OR = 1.04, p = 0.006, CI = 1.01-1.07), BMI (OR = 1.11, p = 0.041, CI = 1.01-1.23), and waist circumference (OR = 1.05, p = 0.020, CI = 1.01-1.09) were identified as risk factors. Physical activity was negatively associated (OR = 0.43, p = 0.049, CI = 0.18-0.99). In the prediction model, age, physical activity, diabetes mellitus, diastolic blood pressure, and HDL-cholesterol remained as independent variables. Combining these risk factors to predict the development of fatty liver disease revealed an AUC of 0.7434.

conclusionsWithin a five-year follow-up, one-quarter of participants developed fatty liver disease influenced by the triggering factors of age, diabetes mellitus, low HDL-cholesterol, and diastolic blood pressure. Increased physical activity has a protective effect on the development of fatty liver.

Indexed as

Magnetic Resonance ImagingNon-alcoholic Fatty Liver DiseaseAdultAgedAge FactorsBody Mass IndexExerciseFemaleHumansLiverLongitudinal StudiesMaleMiddle AgedRisk FactorsWaist CircumferenceFatty liverLongitudinal studyMagnetic resonance imagingMetabolic syndrome

Identifiers

PMID39044153
PMCPMC11267668

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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 Socratic graph.