Evidence map›Paper›PMID 31601894›Full record

ArticleScientific reports2019

Effect of surgical parameters on the biomechanical behaviour of bicondylar total knee endoprostheses - A robot-assisted test method based on a musculoskeletal model.

M Kebbach, R Grawe, A Geier, E Winter, P Bergschmidt, D Kluess, D D'Lima, C Woernle, R Bader

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

10 citing papers in PubMed, 26 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

9 authors at 2 institutions in 2 countries.

M KebbachDepartment of Orthopaedics, University Medicine Rostock, Rostock, Germany. maeruan.kebbach@med.uni-rostock.de.
R GraweChair of Technical Dynamics, University of Rostock, Rostock, Germany.
A GeierDepartment of Orthopaedics, University Medicine Rostock, Rostock, Germany.
E WinterChair of Technical Dynamics, University of Rostock, Rostock, Germany.
P BergschmidtDepartment of Orthopaedics, University Medicine Rostock, Rostock, Germany.
D KluessDepartment of Orthopaedics, University Medicine Rostock, Rostock, Germany.
D D'LimaShiley Center for Orthopaedic Research and Education at Scripps Clinic, La Jolla, CA, USA.
C WoernleChair of Technical Dynamics, University of Rostock, Rostock, Germany.
R BaderDepartment of Orthopaedics, University Medicine Rostock, Rostock, Germany.
University of Rostock · DEScripps Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The complicated interplay of total knee replacement (TKR) positioning and patient-specific soft tissue conditions still causes a considerable number of unsatisfactory outcomes. Therefore, we deployed a robot-assisted test method, in which a six-axis robot moved and loaded a bicondylar cruciate-retaining (CR)-TKR in a virtual lower extremity emulated by a musculoskeletal multibody model. This enabled us to systematically analyse the impact of the posterior cruciate ligament (PCL), tibial slope, and tibial component rotation on TKR function while considering the physical implant components and physiological-like conditions during dynamic motions. The PCL resection yielded a decrease of femoral rollback by 4.5 mm and a reduction of tibiofemoral contact force by 50 N. A reduced tibial slope led to an increase of tibiofemoral contact force by about 170 N and a decrease of femoral rollback up to 1.7 mm. Although a higher tibial slope reduced the contact force, excessive tibial slopes should be avoided to prevent joint instability. Contrary to an external rotation of the tibial component, an internal rotation clearly increased the contact force and lateral femoral rollback. Our data contribute to improved understanding the biomechanics of TKRs and show the capabilities of the robot-assisted test method based on a musculoskeletal multibody model as a preoperative planning tool.

Indexed as

RoboticsArthroplasty, Replacement, KneeBiomechanical PhenomenaComputer SimulationFemurHumansJoint InstabilityKnee JointPosterior Cruciate LigamentProstheses and ImplantsRange of Motion, ArticularTibia

Identifiers

PMID31601894
PMCPMC6787084
OpenAlexW2979821044

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.