ArticlePloS one2019
Modeling the natural history of fatty liver using lifestyle-related risk factors: Effects of body mass index (BMI) on the life-course of fatty liver.
Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 4 papers.
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.
The trial behind it
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Who cites it
4 citing papers in PubMed, 10 citations in OpenAlex.
- Article
- Identification of Key Target Genes and Pathway Analysis in Nonalcoholic Fatty Liver Disease Via Integrated Bioinformatics Analysis.Balkan journal of medical genetics : BJMG · 2022Article
- Low-/high-density lipoprotein cholesterol ratio and carotid plaques in patients with coronary heart disease: a Chinese cohort study.Lipids in health and disease · 2021Article
- Article
Corrections and comments
- Erratum issued
Authors and funding
5 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundIncident fatty liver increases the risk of non-alcoholic fatty liver disease (NAFLD), which may lead to end-stage liver diseases, and increase the risk of cardiovascular disease and diabetes. For its prevention, modeling the natural history of fatty liver is useful to demonstrate which lifestyle-related risk factors (e.g. body mass index and cholesterol) play the greatest role in the life-course of fatty liver.
methodsModel predictors and their predictive algorithms were determined by prospective regression analyses using 5-year data from approximately 2000 Japanese men aged 20-69 years. The participants underwent health examinations and completed questionnaires on their lifestyle behaviors annually from 2012 to 2016. The life-course of fatty liver was simulated based on this participant data using Monte Carlo simulation methods. Sensitivity analyses were performed. The validity of the model was discussed.
resultsThe body mass index (BMI) and low-density/high-density lipoprotein cholesterol (LDL-C/HDL-C) ratio significantly aided in predicting incident fatty liver. When the natural history of fatty liver was simulated using the data of participants aged 30-39 years, the prevalence increased from 20% to 32% at 40-59 years before decreasing to 24% at 70-79 years. When annual updates of BMI and LDL-C/HDL-C ratio decreased/increased by 1%, the peak prevalence of fatty liver (32%) changed by -8.0/10.7% and -1.6/1.4%, respectively.
conclusionsWe modeled the natural history of fatty liver for adult Japanese men. The model includes BMI and LDL‒C/HDL‒C ratio, which played a significant role in predicting the presence of fatty liver. Specifically, annual changes in BMI of individuals more strongly affected the life‒course of fatty liver than those in the LDL-C/HDL-C ratio. Sustainable BMI control for individuals may be the most effective option for preventing fatty liver in a population.
Identifiers
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Registered trials
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