ArticleOperative techniques in orthopaedics2010
Mediators leading to fibrosis - how to measure and control them in tissue engineering.
Article in Operative techniques in orthopaedics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled 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.
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
13 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Therapeutic effects and potential mechanisms of astragaloside IV on pulmonary fibrosis: a systematic review and meta-analysis of preclinical studies.Frontiers in pharmacology · 2025Pooled it
- Review
- Evaluating the impact of type 2 diabetes mellitus on pulmonary vascular function and the development of pulmonary fibrosis.Frontiers in endocrinology · 2024Review
- Autologous transplantation of adipose-derived stem cells improves functional recovery of skeletal muscle without direct participation in new myofiber formation.Stem cell research & therapy · 2018Article
- Platelet-rich plasma does not reduce skeletal muscle fibrosis after distraction osteogenesis.Journal of experimental orthopaedics · 2018Article
- miR-24 and miR-122 Negatively Regulate the Transforming Growth Factor-β/Smad Signaling Pathway in Skeletal Muscle Fibrosis.Molecular therapy. Nucleic acids · 2018Article
- Perivascular cell αv integrins as a target to treat skeletal muscle fibrosis.The international journal of biochemistry & cell biology · 2018Article
- Post-traumatic stiff elbow.EFORT open reviews · 2018Article
- Tissue Engineering Strategies for Myocardial Regeneration: Acellular Versus Cellular Scaffolds?Tissue engineering. Part B, Reviews · 2016Review
- Neuroinflammatory Mechanisms of Connective Tissue Fibrosis: Targeting Neurogenic and Mast Cell Contributions.Advances in wound care · 2015Review
- Therapeutic strategies for preventing skeletal muscle fibrosis after injury.Frontiers in pharmacology · 2015Review
- Effect of human Wharton's jelly mesenchymal stem cell paracrine signaling on keloid fibroblasts.Stem cells translational medicine · 2014Article
- Design, synthesis and anti-fibrosis activity study of N₁-substituted phenylhydroquinolinone derivatives.Molecules (Basel, Switzerland) · 2012Article
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
Fibrosis is the result of an excessive amount of fibrous connective tissue deposited into the extracellular matrix (ECM) space of damaged tissues from injury or disease. Collagens, particularly types I and III are the main constituents of the fibrotic scar tissue as well as a mixture of fibrotic cells. Severely fibrotic tissue will develop chronic healing problems resulting in tissue/organ dysfunction. More attention needs to be given to the fibrotic differentiation and related effects in bioengineered tissues. The current review provides an update on the mechanism behind fibrosis formation as well as technical measurements and preventions.
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.