Evidence map›Paper›PMID 17332881›Full record

ReviewThe Journal of clinical investigation2007

Models of liver fibrosis: exploring the dynamic nature of inflammation and repair in a solid organ.

John P Iredale

Open access · bronzeAbstract readReview
In one paragraph

Review in The Journal of clinical investigation, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 413 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
413citing papers in PubMed, 1 pooled it
33.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

413 citing papers in PubMed, 1 synthesis or guideline pooled it, 854 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Gut microbes · 2026
    Article
  4. Hepatic stellate cells in alcoholic liver cirrhosis: mechanisms of fibrogenesis, plasticity, and fibrosis reversal.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2026
    Review
  5. Review
  6. Article
  7. Review
  8. Injectable ZnMaterials today. Bio · 2026
    Article
  9. Review
  10. Review
  11. Review
  12. Review
  13. Targeting macrophages in liver fibrosis.Frontiers in immunology · 2026
    Review
  14. Article
  15. Article
  16. Harmonizing mouse anatomy terminology: a common language?Mammalian genome : official journal of the International Mammalian Genome Society · 2025
    Review
  17. Article
  18. Review
  19. Review
  20. Deciphering the role ofWorld journal of hepatology · 2025
    Review

353 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

John P IredaleMedical Research Council/University of Edinburgh Centre for Inflammation Research, Queen's Medical Research Institute, Edinburgh, United Kingdom. John.Iredale@ed.ac.uk
University of Edinburgh · GB

Funding

Medical Research Council G0600033Wellcome Trust
6 · The paper itself

Abstract

Models of liver fibrosis, which include cell culture models, explanted and biopsied human material, and experimental animal models, have demonstrated that liver fibrosis is a highly dynamic example of solid organ wound healing. Recent work in human and animal models has shown that liver fibrosis is potentially reversible and, in specific circumstances, demonstrates resolution with a restoration of near normal architecture. This Review highlights the manner in which studies of models of liver fibrosis have contributed to the paradigm of dynamic wound healing in this solid organ.

Indexed as

Disease Models, AnimalAnimalsExtracellular MatrixFibroblastsHumansInflammationLiver CirrhosisLiver Cirrhosis, ExperimentalLiver RegenerationModels, BiologicalWound Healing

Identifiers

PMID17332881
PMCPMC1804370
OpenAlexW2120335459

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.