ReviewClinical and molecular hepatology2026
Precision pathophysiology in steatotic liver disease.
Review in Clinical and molecular hepatology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Steatotic liver disease spectrum: From MASLD to MetALD and beyond - Clinical outcomes and precision medicine frontiers.Clinical and molecular hepatology · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Steatotic liver disease (SLD) comprises metabolic dysfunction-associated steatotic liver disease (MASLD), metabolic dysfunction and alcohol-associated liver disease (MetALD), and alcohol-associated liver disease (ALD), which represent subclasses of liver disorders with overlapping etiologies. MASLD is defined as SLD with cardiometabolic dysfunction, whereas MetALD refers to MASLD with moderate alcohol consumption (140-350 g/week in females and 210-420 g/week in males). Despite being classified as distinct entities, MASLD and MetALD exhibit substantial phenotypic overlap, underscoring the need to delineate their pathological and molecular features and to develop models that capture the synergistic effects of alcohol and metabolic stress. Recent advances in multi-omic technologies have enabled integrated single-cell profiling of genetic, epigenetic, spatial, and proteomic features, providing high-resolution insights into cellular heterogeneity and disease mechanisms. In this review, we examine the pathophysiological landscape of SLD, highlight key distinctions between MASLD and MetALD, and discuss experimental models, including human liver spheroids. These approaches provide deeper insights into disease classification and accelerate the development of targeted therapies.
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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.