Evidence map›Paper›PMID 34405587›Full record

SynthesisAdvanced healthcare materials2021

Systematic Comparison of Biomaterials-Based Strategies for Osteochondral and Chondral Repair in Large Animal Models.

Arlyng G González Vázquez, Lia A Blokpoel Ferreras, Kathleen E Bennett, Sarah M Casey, Pieter Aj Brama, Fergal J O'Brien

Open access · hybridAbstract readSystematic Review
In one paragraph

Synthesis in Advanced healthcare materials, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
3.1field-weighted citation impact, top 8% 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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 23 citations in OpenAlex.

  1. Pooled it
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  11. Frontiers in bioengineering and biotechnology · 2024
    Article
  12. Article
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  14. Time-Dependent Anabolic Response of hMSC-Derived Cartilage Grafts to Hydrostatic Pressure.Journal of tissue engineering and regenerative medicine · 2023
    Article
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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

6 authors at 3 institutions in 3 countries.

Arlyng G González VázquezTissue Engineering Research Group, Department of Anatomy and Regenerative Medicine, Royal College of Surgeons in Ireland (RCSI), Dublin, 2 D02 YN77, Ireland.ORCID 0000-0003-0648-5590
Lia A Blokpoel FerrerasTissue Engineering Research Group, Department of Anatomy and Regenerative Medicine, Royal College of Surgeons in Ireland (RCSI), Dublin, 2 D02 YN77, Ireland.
Kathleen E BennettDivision of Population Health Science, RCSI, Dublin, 2 D02 YN77, Ireland.
Sarah M CaseyTissue Engineering Research Group, Department of Anatomy and Regenerative Medicine, Royal College of Surgeons in Ireland (RCSI), Dublin, 2 D02 YN77, Ireland.
Pieter Aj BramaSchool of Veterinary Medicine, University College Dublin (UCD), Dublin, 4 D04 V1W8, Ireland.ORCID 0000-0003-3405-0551
Fergal J O'BrienTissue Engineering Research Group, Department of Anatomy and Regenerative Medicine, Royal College of Surgeons in Ireland (RCSI), Dublin, 2 D02 YN77, Ireland.ORCID 0000-0003-2030-8005
Royal College of Surgeons in Ireland · IEPopulation Council · INUniversity College Dublin · IE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Joint repair remains a major challenge in orthopaedics. Recent progress in biomaterial design has led to the fabrication of a plethora of promising devices. Pre-clinical testing of any joint repair strategy typically requires the use of large animal models (e.g., sheep, goat, pig or horse). Despite the key role of such models in clinical translation, there is still a lack of consensus regarding optimal experimental design, making it difficult to draw conclusions on their efficacy. In this context, the authors performed a systematic literature review and a risk of bias assessment on large animal models published between 2010 and 2020, to identify key experimental parameters that significantly affect the biomaterial therapeutic outcome and clinical translation potential (including defect localization, animal age/maturity, selection of controls, cell-free versus cell-laden). They determined that mechanically strong biomaterials perform better at the femoral condyles; while highlighted the importance of including native tissue controls to better evaluate the quality of the newly formed tissue. Finally, in cell-laded biomaterials, the pre-culture conditions played a more important role in defect repair than the cell type. In summary, here they present a systematic evaluation on how the experimental design of preclinical models influences biomaterial-based therapeutic outcomes in joint repair.

Indexed as

Biocompatible MaterialsCartilage, ArticularAnimalsHorsesKnee JointModels, AnimalSheepSwineTissue EngineeringBiocompatible Materialsbiomaterialscartilagejoint repairlarge animal modelsosteochondral

Identifiers

PMID34405587
PMCPMC11468758
OpenAlexW3194877385

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.