Evidence map›Paper›PMID 38994124›Full record

ArticleFrontiers in bioengineering and biotechnology2024

An ovine knee simulator: description and proof of concept.

Maria Kristina Bartolo, Simon Newman, Oliver Dandridge, Camilla Halewood, Mario Alberto Accardi, Daniele Dini, Andrew A Amis

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Maria Kristina BartoloBiomechanics Group, Mechanical Engineering Department, Imperial College London, London, United Kingdom.
Simon NewmanDepartment of Surgery and Cancer, Imperial College London School of Medicine, London, United Kingdom.
Oliver DandridgeBiomechanics Group, Mechanical Engineering Department, Imperial College London, London, United Kingdom.
Camilla HalewoodDepartment of Surgery and Cancer, Imperial College London School of Medicine, London, United Kingdom.
Mario Alberto AccardiOrthonika Ltd, London, United Kingdom.
Daniele DiniBiomechanics Group, Mechanical Engineering Department, Imperial College London, London, United Kingdom.
Andrew A AmisBiomechanics Group, Mechanical Engineering Department, Imperial College London, London, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: The ovine stifle is an established model for evaluation of knee treatments, such as meniscus replacement. This study introduces a novel ovine gait simulator for pre-testing of surgical treatments prior to Methods: The gait simulator controlled femoral flexion-extension and applied a 980N axial contact force to the distal tibia, whose movement was guided by the natural ligaments. Five right ovine stifle joints were implanted with a PVA-PEG total medial meniscus replacement, fixed to the tibia via transosseous tunnels and interference screws. Six intact and five implanted right ovine stifle joints were tested for 500 k gait cycles at 1.55 Hz. Implanted stifle joint contact pressures and kinematics in the simulator were compared to the intact group. Contact pressures were measured at 55° flexion using pressure sensitive film inserted sub-meniscally. 3D kinematics were measured optically across two 30-s captures. Results: Peak contact pressures in intact stifles were 3.6 ± 1.0 MPa and 6.0 ± 2.1 MPa in the medial and lateral condyles ( Conclusion: These findings show correspondence of the ovine simulator kinematics with

Indexed as

contact pressureskinematicskneemeniscus replacementovine gait simulator

Identifiers

PMID38994124
PMCPMC11237960

What OpenQuestion holds

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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.