Evidence map›Paper›PMID 32036769›Full record

ArticleProceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine2020

An extended discrete element method for the estimation of contact pressure at the ankle joint during stance phase.

Ivan Benemerito, Luca Modenese, Erica Montefiori, Claudia Mazzà, Marco Viceconti, Damien Lacroix, Lingzhong Guo

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.9field-weighted citation impact, top 16% 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

3 citing papers in PubMed, 24 citations in OpenAlex.

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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

7 authors at 2 institutions in 2 countries.

Ivan BenemeritoINSIGNEO Institute for in silico Medicine, The University of Sheffield, Sheffield, UK.ORCID https://orcid.org/0000-0002-4942-7852
Luca ModeneseINSIGNEO Institute for in silico Medicine, The University of Sheffield, Sheffield, UK.
Erica MontefioriINSIGNEO Institute for in silico Medicine, The University of Sheffield, Sheffield, UK.
Claudia MazzàINSIGNEO Institute for in silico Medicine, The University of Sheffield, Sheffield, UK.
Marco VicecontiDepartment of Industrial Engineering, Alma Mater Studiorum - University of Bologna, Bologna, Italy.
Damien LacroixINSIGNEO Institute for in silico Medicine, The University of Sheffield, Sheffield, UK.
Lingzhong GuoINSIGNEO Institute for in silico Medicine, The University of Sheffield, Sheffield, UK.
Insigneo · GBIstituto Ortopedico Rizzoli · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Abnormalities in the ankle contact pressure are related to the onset of osteoarthritis. In vivo measurements are not possible with currently available techniques, so computational methods such as the finite element analysis (FEA) are often used instead. The discrete element method (DEM), a computationally efficient alternative to time-consuming FEA, has also been used to predict the joint contact pressure. It describes the articular cartilage as a bed of independent springs, assuming a linearly elastic behaviour and absence of relative motion between the bones. In this study, we present the extended DEM (EDEM) which is able to track the motion of talus over time. The method was used, with input data from a subject-specific musculoskeletal model, to predict the contact pressure in the ankle joint during gait. Results from EDEM were also compared with outputs from conventional DEM. Predicted values of contact area were larger in EDEM than they were in DEM (4.67 and 4.18 cm

Indexed as

Computer SimulationPressureAdolescentAnkle JointFemaleGaitHumansMagnetic Resonance Imaginganklecontact pressureExtended discrete element analysisnonlinear stiffnesssubject specific

Identifiers

PMID32036769
PMCPMC7469707
OpenAlexW3004547385

What OpenQuestion holds

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LicenceCC BY
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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.