Evidence map›Paper›PMID 34076785›Full record

ArticleAnnals of biomedical engineering2021

Effect of Suboptimal Neuromuscular Control on the Risk of Massive Wear in Total Knee Replacement.

Marco Viceconti, Cristina Curreli, Francesca Bottin, Giorgio Davico

Abstract read
In one paragraph

Article in Annals of biomedical engineering, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

4 authors.

Marco VicecontiDepartment of Industrial Engineering, Alma Mater Studiorum - University of Bologna (IT), Bologna, Italy. marco.viceconti@unibo.it.ORCID http://orcid.org/0000-0002-2293-1530
Cristina CurreliDepartment of Industrial Engineering, Alma Mater Studiorum - University of Bologna (IT), Bologna, Italy.
Francesca BottinDepartment of Industrial Engineering, Alma Mater Studiorum - University of Bologna (IT), Bologna, Italy.
Giorgio DavicoDepartment of Industrial Engineering, Alma Mater Studiorum - University of Bologna (IT), Bologna, Italy.

Funding

H2020 Societal Challenges 101016503Horizon 2020 Framework Programme 823712
6 · The paper itself

Abstract

The optimal neuromuscular control (muscle activation strategy that minimises the consumption of metabolic energy) during level walking is very close to that which minimises the force transmitted through the joints of the lower limbs. Thus, any suboptimal control involves an overloading of the joints. Some total knee replacement patients adopt suboptimal control strategies during level walking; this is particularly true for patients with co-morbidities that cause neuromotor control degeneration, such as Parkinson's Disease (PD). The increase of joint loading increases the risk of implant failure, as reported in one study in PD patients (5.44% of failures at 9 years follow-up). One failure mode that is directly affected by joint loading is massive wear of the prosthetic articular surface. In this study we used a validated patient-specific biomechanical model to estimate how a severely suboptimal control could increase the wear rate of total knee replacements. Whereas autopsy-retrieved implants from non-PD patients typically show average polyethylene wear of 17 mm

Indexed as

Arthroplasty, Replacement, KneeKnee ProsthesisProsthesis FailureAged, 80 and overBiomechanical PhenomenaComputer SimulationGait Disorders, NeurologicHumansMaleParkinson DiseaseReoperationRisk FactorsFinite element analysesIn silico methodsNeuromuscular controlTotal knee replacementsWear predictions

Identifiers

PMID34076785
PMCPMC8671275

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.