Evidence map›Paper›PMID 22095486›Full record

Trial reportKnee surgery, sports traumatology, arthroscopy : official journal of the ESSKA2012

Cell-free collagen type I matrix for repair of cartilage defects-clinical and magnetic resonance imaging results.

Turgay Efe, Christina Theisen, Susanne Fuchs-Winkelmann, Thomas Stein, Alan Getgood, Marga B Rominger, Jürgen R J Paletta, Markus D Schofer

Abstract readClinical Trial
PubMed Publisher
In one paragraph

Trial report in Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 4 pooled it
–field-weighted citation impact
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

45 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Prognostic factors for the management of chondral defects of the knee and ankle joint: a systematic review.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2023
    Pooled it
  2. Pooled it
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  4. Arthroscopy versus mini-arthrotomy approach for matrix-induced autologous chondrocyte implantation in the knee: a systematic review.Journal of orthopaedics and traumatology : official journal of the Italian Society of Orthopaedics and Traumatology · 2021
    Pooled it
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  15. Lipid Anchoring Improves Lubrication and Wear Resistance of the Collagen I Matrix.Langmuir : the ACS journal of surfaces and colloids · 2021
    Article
  16. Article
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  19. [Role of Stem Cells and Their Biomimetic Matrix Microenvironment in Regenerative Repair of Articular Cartilage: A Review].Sichuan da xue xue bao. Yi xue ban = Journal of Sichuan University. Medical science edition · 2021
    Review
  20. Review
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

8 authors.

Turgay EfeDepartment of Orthopedics and Rheumatology, University Hospital Marburg, Baldingerstrasse, 35043, Marburg, Germany. efet@med.uni-marburg.de
Christina Theisen
Susanne Fuchs-Winkelmann
Thomas Stein
Alan Getgood
Marga B Rominger
Jürgen R J Paletta
Markus D Schofer

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeSeveral well-described techniques are available for the treatment of chondral and osteochondral defects. The aim of the study was to assess the efficacy of a single-stage procedure incorporating a new cell-free collagen type I gel for the treatment of small chondral and osteochondral defects in the knee evaluated at 2-year follow-up.

methodsFifteen patients were treated with a cell-free collagen type I gel matrix of 11 mm diameter. The grafts were implanted in the debrided cartilage defect and fixed by press-fit only. The clinical outcome was assessed preoperatively and at 6 weeks, and 6, 12 and 24 months after surgery using the International Knee Documentation Committee (IKDC) score, Tegner activity scale and visual analogue scale (VAS). Graft attachment rate was assessed 6 weeks postoperatively using magnetic resonance imaging (MRI). Cartilage regeneration was evaluated using the Magnetic Observation of Cartilage Repair Tissue (MOCART) score at 6, 12 and 24 months after implantation. Clinical results were correlated with MRI findings.

resultsSix male and nine female patients were included in this study, with a mean age of 26 (range: 19-40). No complications were reported. The mean VAS values after 6 weeks and the mean IKDC patient values after 6 months were significantly improved from the preoperative values (P = 0.005 and P = 0.009, respectively). This improvement remained up to the latest follow-up. There were no significant differences between the median preoperative and postoperative Tegner values (n.s.). Significant improvement of the mean MOCART score was observed after 12 months and remained by 24 months (P < 0.001). MR images showed that in 14 of the 15 patients, the graft was completely attached by 6 weeks postoperatively. At 24 months after implantation, MRI demonstrated complete filling in all cases with a mainly smooth surface, complete integration of the border zone, homogenous structure of the repaired tissue and nearly normal signal intensity. No correlation between any variables of the MOCART score and the clinical scores was observed.

conclusionsThe present study reveals that the new method produces both good clinical and magnetic resonance imaging results. Use of press-fit only implanted grafts of a smaller diameter leads to a high attachment rate at 24-month follow-up. LEVEL OF EVIDENCE: IV.

Indexed as

Tissue ScaffoldsAdultCartilage, ArticularCell-Free SystemCollagen Type IFemaleFollow-Up StudiesGelsGuided Tissue RegenerationHumansKnee InjuriesMagnetic Resonance ImagingMaleProspective StudiesTreatment OutcomeWound HealingCollagen Type IGels

Identifiers

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Registered trials

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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.