Evidence map›Paper›PMID 38730373›Full record

ArticleBMC veterinary research2024

Numerical evaluation of internal femur osteosynthesis based on a biomechanical model of the loading in the proximal equine hindlimb.

Jan J Lang, Xinhao Li, Carina M Micheler, Nikolas J Wilhelm, Fritz Seidl, Benedikt J Schwaiger, Dirk Barnewitz, Ruediger von Eisenhart-Rothe, Christian U Grosse, Rainer Burgkart

Abstract read
In one paragraph

Article in BMC veterinary research, 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.

Jan J LangDepartment of Orthopedics and Sports Orthopedics, Klinikum rechts der Isar, TUM School of Medicine, Technical University of Munich, Munich, Germany. jan.lang@tum.de.ORCID http://orcid.org/0000-0003-4693-897X
Xinhao LiDepartment of Orthopedics and Sports Orthopedics, Klinikum rechts der Isar, TUM School of Medicine, Technical University of Munich, Munich, Germany.
Carina M MichelerDepartment of Orthopedics and Sports Orthopedics, Klinikum rechts der Isar, TUM School of Medicine, Technical University of Munich, Munich, Germany.
Nikolas J WilhelmDepartment of Orthopedics and Sports Orthopedics, Klinikum rechts der Isar, TUM School of Medicine, Technical University of Munich, Munich, Germany.
Fritz SeidlDepartment of Orthopedics and Sports Orthopedics, Klinikum rechts der Isar, TUM School of Medicine, Technical University of Munich, Munich, Germany.
Benedikt J SchwaigerDepartment of Diagnostic and Interventional Neuroradiology, TUM School of Medicine, Technical University of Munich, Munich, Germany.
Dirk BarnewitzEquine Clinic of the Research Centre for Medical Technology and Biotechnology, Bad Langensalza, Germany.
Ruediger von Eisenhart-RotheDepartment of Orthopedics and Sports Orthopedics, Klinikum rechts der Isar, TUM School of Medicine, Technical University of Munich, Munich, Germany.
Christian U GrosseChair of Non-destructive Testing, TUM School of Engineering and Design, Technical University of Munich, Munich, Germany.
Rainer BurgkartDepartment of Orthopedics and Sports Orthopedics, Klinikum rechts der Isar, TUM School of Medicine, Technical University of Munich, Munich, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Femoral fractures are often considered lethal for adult horses because femur osteosynthesis is still a surgical challenge. For equine femur osteosynthesis, primary stability is essential, but the detailed physiological forces occurring in the hindlimb are largely unknown. The objective of this study was to create a numerical testing environment to evaluate equine femur osteosynthesis based on physiological conditions. The study was designed as a finite element analysis (FEA) of the femur using a musculoskeletal model of the loading situation in stance. Relevant forces were determined in the musculoskeletal model via optimization. The treatment of four different fracture types with an intramedullary nail was investigated in FEA with loading conditions derived from the model. The analyzed diaphyseal fracture types were a transverse (TR) fracture, two oblique fractures in different orientations (OB-ML: medial-lateral and OB-AP: anterior-posterior) and a "gap" fracture (GAP) without contact between the fragments. For the native femur, the most relevant areas of increased stress were located distally to the femoral head and proximally to the caudal side of the condyles. For all fracture types, the highest stresses in the implant material were present in the fracture-adjacent screws. Maximum compressive (-348 MPa) and tensile stress (197 MPa) were found for the GAP fracture, but material strength was not exceeded. The mathematical model was able to predict a load distribution in the femur of the standing horse and was used to assess the performance of internal fixation devices via FEA. The analyzed intramedullary nail and screws showed sufficient stability for all fracture types.

Indexed as

Femoral FracturesFracture Fixation, InternalHindlimbAnimalsBiomechanical PhenomenaFemurFinite Element AnalysisFracture Fixation, IntramedullaryHorsesModels, BiologicalWeight-BearingFEAFractureHorseIntramedullary nailMusculoskeletal model

Identifiers

PMID38730373
PMCPMC11084081

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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.