ReviewInternational journal of molecular sciences2025
Decoding Liver Fibrosis: How Omics Technologies and Innovative Modeling Can Guide Precision Medicine.
Review in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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
4 citing papers in PubMed.
- Review
- From a Multi-Omics Signature to a Therapeutic Candidate: Computational Prediction and Experimental Validation in Liver Fibrosis.Pharmaceuticals (Basel, Switzerland) · 2026Article
- Exposure-shaped immunometabolic networks in chronic liver disease: translating multi-omics and artificial intelligence into preventive biomarkers.Frontiers in immunology · 2026Review
- Engineering liver disease models in vitro: emerging trends and innovations.eGastroenterology · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
The burden of chronic liver disease (CLD) is dramatically increasing. It is estimated that 20-30% of the population worldwide is affected by CLD. Hepatic fibrosis is a symptom common to all CLDs. Although it affects liver functional activities, it is a reversible stage if diagnosed at an early stage, but no resolutive therapy to contrast liver fibrosis is currently available. Therefore, efforts are needed to study the molecular insights of the disease. Emerging cutting-edge fields in cellular and molecular biology are introducing innovative strategies. Spatial and single-cell resolution approaches are paving the way for a more detailed understanding of the mechanisms underlying liver fibrosis. Cellular models have been generated to recapitulate the
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What OpenQuestion holds
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.