ArticlePharmaceutics2022
Regeneration of Articular Cartilage Using Membranes of Polyester Scaffolds in a Rabbit Model.
Article in Pharmaceutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed, 8 citations in OpenAlex.
- Article
- Stimuli-responsive 4D-bioprinted constructs for musculoskeletal tissue regeneration: Shape-morphing mechanisms, cell-laden bioink engineering, and preclinical outcomes.Regenerative therapy · 2026Review
- Autologous Chondrocyte Implantation on Polyethersulfone Scaffolds in a Rabbit Model of Grade III Lesions.Molecules (Basel, Switzerland) · 2026Article
- Biodegradable Polyesters: Approaches to Increase Degradation Rates for Biomedical Applications.ACS macro letters · 2025Review
- Comparative Study of Autogenic and Allogenic Chondrocyte Transplants on Polyethersulfone Scaffolds for Cartilage Regeneration.International journal of molecular sciences · 2024Article
- Polyethersulfone Polymer for Biomedical Applications and Biotechnology.International journal of molecular sciences · 2024Review
- Article
- Scaffolds for Cartilage Tissue Engineering from a Blend of Polyethersulfone and Polyurethane Polymers.Molecules (Basel, Switzerland) · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors at 5 institutions in 1 country.
Funding
Abstract
One promising method for cartilage regeneration involves combining known methods, such as the microfracture technique with biomaterials, e.g., scaffolds (membranes). The most important feature of such implants is their appropriate rate of biodegradation, without the production of toxic metabolites. This study presents work on two different membranes made of polyester (L-lactide-co-ε-caprolactone-PLCA) named "PVP and "Z". The difference between them was the use of different pore precursors-polyvinylpyrrolidone in the "PVP" scaffold and gelatin in the "Z" scaffold. These were implemented in the articular cartilage defects of rabbit knee joints (defects were created for the purpose of the study). After 8, 16, and 24 weeks of observation, and the subsequent termination of the animals, histopathology and gel permeation chromatography (GPC) examinations were performed. Statistical analysis proved that the membranes support the regeneration process. GPC testing proved that the biodegradation process is progressing exponentially, causing the membranes to degrade at the appropriate time. The surgical technique we used meets all the requirements without causing the membrane to migrate after implantation. The "PVP" membrane is better due to the fact that after 24 weeks of observation there was a statistical trend for higher histological ratings. It is also better because it is easier to implant due to its lower fragility then membrane "Z". We conclude that the selected membranes seem to support the regeneration of articular cartilage in the rabbit model.
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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.