ReviewJapanese journal of radiology2026
Metabolic dysfunction-associated steatotic liver disease (MASLD): definition, diagnosis, natural history, and treatment.
Review in Japanese journal of radiology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07731360 (A Non-Invasive Diagnostic Panel for MASLD in Children With Obesity), which is not on this map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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
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.
A Non-Invasive Diagnostic Panel for MASLD in Children With Obesity: Evaluation of a Multiparametric Biomarker Panel and Genetic Risk Score Using LASSO-Regularized Logistic Regression - The PedMASLD-MultiOmics Pilot Study
Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Applications of machine learning in the diagnosis of non-alcoholic fatty liver disease: a systematic review and meta-analysis.BMC gastroenterology · 2026Pooled it
- Effects of imeglimin on liver enzymes and body composition in patients with MASLD and type 2 diabetes: a pilot study.Diabetology international · 2026Article
- Association Between Early and Long-Term Changes in Liver Stiffness in Patients with MASLD Undergoing Serial Magnetic Resonance Elastography.Diagnostics (Basel, Switzerland) · 2026Article
- Periodontitis and Chronic Liver Disease: Mechanistic Insights Focusing onMicroorganisms · 2026Review
- Network Biology and Translational Strategies in Liver Fibrosis.Biomedicines · 2026Article
- Metabolic dysfunction-associated steatotic liver disease (MASLD): a new disease category within the steatotic liver disease (SLD) framework.Japanese journal of radiology · 2026Article
- Article
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Authors and funding
7 authors.
Funding
Abstract
Non-alcoholic fatty liver disease (NAFLD) is one of the most prevalent causes of chronic liver disease, and strategies to prevent NAFLD-related hepatocellular carcinoma and liver failure are of increasing importance. Recently, the classification of steatotic liver disease (SLD) has been redefined based on alcohol intake: metabolic dysfunction-associated SLD (MASLD, mild alcohol intake), MASLD and increased alcohol intake (MetALD, moderate alcohol intake), and alcohol-related liver disease (ALD, heavy alcohol intake). Because the concordance rate between NAFLD and MASLD is 96-99%, MASLD can be regarded as clinically equivalent to NAFLD. When the risk of liver-related events is compared across these categories, ALD carries the highest risk, followed by MetALD and then MASLD. In contrast, the risk of cardiovascular events is highest in MASLD, followed by MetALD and ALD. All three subtypes also confer an increased risk of extrahepatic malignancies. Within MASLD, a distinct lean phenotype (lean MASLD) exists; compared with overweight MASLD, lean MASLD has a lower cardiovascular risk, but a higher risk of liver-related events. These findings highlight that complication risks differ among MASLD, MetALD, and ALD, necessitating phenotype-specific surveillance strategies. Although no pharmacotherapies for MASLD are currently approved in Japan, glucagon-like peptide-1 receptor agonists and sodium-glucose cotransporter-2 inhibitors have been reported to improve histological inflammation and fibrosis in patients with MASLD, and their approval for MASLD is anticipated. Similarly, statins and pemafibrate have shown improvements in liver function and steatosis in patients with dyslipidaemia and are already used in routine clinical practice for comorbid cases.
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Registered trials
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.