World Journal of Hepatology, Год журнала: 2025, Номер 17(3)
Опубликована: Март 25, 2025
Metabolic-associated fatty liver disease (MAFLD), formerly known as nonalcoholic disease, is an increasing global health challenge with substantial implications for metabolic and cardiovascular (CVH). A recent study by Fu et al investigated the relationship between CVH metrics, specifically Life's Simple 7 Essential 8, prevalence of MAFLD. While this offered important insights into MAFLD, several methodological limitations, unaddressed confounding factors, potential biases that could impact interpretation their findings should be considered. The study's cross-sectional nature restricted ability to draw causal conclusions, it did not fully account factors such dietary habits, genetic predispositions, medication use. Furthermore, relying on transient elastography diagnose MAFLD introduces certain diagnostic limitations. Longitudinal designs, advanced statistical modeling techniques, diverse population groups utilized strengthen future research. Exploring mechanistic pathways link metrics through multi-omics approaches interventional studies will essential in formulating targeted prevention treatment strategies. Structural equation machine learning techniques provide a more refined analysis these interrelated factors. Additionally, research employ longitudinal designs explore epigenetic influences enhance our understanding interactions.
Язык: Английский