Evidence map›Paper›PMID 38829399›Full record

ArticleOrthopadie (Heidelberg, Germany)2024

[Numerical simulation in musculoskeletal biomechanics : Application perspectives and possibilities].

Maeruan Kebbach, Lucie Hucke, Daniel Kluess, Jörg Miehling, David Scherb, Sandro Wartzack, Iris Wechsler, Andreas Wittek, Matthias Woiczinski, Michael Schwarze

Abstract readEnglish Abstract
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In one paragraph

Article in Orthopadie (Heidelberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

10 authors.

Maeruan KebbachDepartment of Orthopaedics, Rostock University Medical Center, Rostock, Deutschland.
Lucie HuckeFachbereich 2: Informatik und Ingenieurwissenschaften, Frankfurt University of Applied Sciences, Frankfurt am Main, Deutschland.
Daniel KluessDepartment of Orthopaedics, Rostock University Medical Center, Rostock, Deutschland.
Jörg MiehlingLehrstuhl für Konstruktionstechnik, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Deutschland.
David ScherbLehrstuhl für Konstruktionstechnik, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Deutschland.
Sandro WartzackLehrstuhl für Konstruktionstechnik, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Deutschland.
Iris WechslerLehrstuhl für Konstruktionstechnik, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Deutschland.
Andreas WittekFachbereich 2: Informatik und Ingenieurwissenschaften, Frankfurt University of Applied Sciences, Frankfurt am Main, Deutschland.
Matthias WoiczinskiCampus Eisenberg, Waldkliniken Eisenberg, Experimentelle Orthopädie Universitätsklinikum Jena, Eisenberg, Deutschland.
Michael SchwarzeLabor für Biomechanik, Orthopädische Klinik, DIAKOVERE Annastift, Medizinische Hochschule Hannover, Anna von Borries Str. 1-7, 30625, Hannover, Deutschland. schwarze.michael@mh-hannover.de.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComputational research methods, such as finite element analysis (FEA) and musculoskeletal multi-body simulation (MBS), are important in musculoskeletal biomechanics because they enable a better understanding of the mechanics of the musculoskeletal system, as well as the development and evaluation of orthopaedic implants. These methods are used to analyze clinically relevant issues in various anatomical regions, such as the hip, knee, shoulder joints and spine. Preoperative simulation can improve surgical planning in orthopaedics and predict individual results. EXAMPLES FROM PRACTICE: In this article, the methods of FE analysis and MBS are explained using two practical examples, and the activities of the "Numerical Simulation" cluster of the "Musculoskeletal Biomechanics Research Network (MSB-NET)" are presented in more detail. An outlook classifies numerical simulation in the age of artificial intelligence and draws attention to the relevance of simulation in the (re)approval of implants.

Indexed as

Computer SimulationFinite Element AnalysisBiomechanical PhenomenaHumansModels, BiologicalMusculoskeletal Physiological PhenomenaMusculoskeletal SystemArtificial intelligenceBiomechanicsComputer modelsFinite element analysisMulti-body simulation

Identifiers

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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.