ArticleCell stem cell2016
Treating Liver Fibrosis: (Re)Programmed to Succeed.
Article in Cell stem cell, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed, 5 citations in OpenAlex.
- Protective role of ginsenoside Rg1 in the dynamic progression of liver injury to fibrosis: a preclinical meta-analysis.Frontiers in pharmacology · 2025Review
- The therapeutic potential of induced hepatocyte-like cells generated by direct reprogramming on hepatic fibrosis.Stem cell research & therapy · 2019Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Two papers (Rezvani et al., 2016; Song et al., 2016) in this issue of Cell Stem Cell use transcription-factor-mediated reprogramming to convert liver myofibroblasts into hepatocyte-like cells in mice. Moreover, murine models of fibrotic and cholestatic liver injury were used to demonstrate that this approach has potential for treatment of liver cirrhosis.
Indexed as
Identifiers
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.