Evidence map›Paper›PMID 39656378›Full record

ArticleAnnals of biomedical engineering2025

Comparing Simulation Approaches Used in Finite Element Modelling of a Medial Opening Wedge High Tibial Osteotomy.

Victor A Carranza, Alan Getgood, Ryan Willing, Timothy A Burkhart

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Annals of biomedical engineering, 2025. 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

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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.

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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

4 authors.

Victor A CarranzaSchool of Biomedical Engineering, Western Bone and Joint Institute, Western University, London, Canada.
Alan GetgoodOrthopaedic Surgery, Aspetar, Doha, Qatar.
Ryan WillingMechanical Engineering, Western University, London, Canada.
Timothy A BurkhartKinesiology and Physical Education, University of Toronto, 55 Harbord St, Toronto, ON, M5S 2W6, Canada. timothy.burkhart@utoronto.ca.ORCID http://orcid.org/0000-0001-6185-2395

Funding

Natural Scinces and Engineering Research Council of Canada R5467A02Smith and Nephew Orthopaedics A17-ASDUS-GR-598
6 · The paper itself

Abstract

purposeMedial opening wedge high tibial osteotomy is a surgical procedure intended to relieve the symptoms of osteoarthritis in the medial compartment of the knee by addressing malalignment within the structures of the knee. In previous studies, the osteotomy cut and wedge opening in a Medial opening wedge high tibial osteotomy finite element model has been represented using either one of two techniques, which we define herein as wedge opening and wedge removal approaches. The purpose of this study is to determine whether the wedge removal for a medial opening wedge high tibial osteotomy finite element modelling study predicts accurate stresses and strains in the plate, screw, and throughout the proximal tibia, in comparison to the wedge opening.

methodsSeven tibia models were reconstructed from CT scans of seven cadaveric specimen. Two sets of models were created from the same set of specimens to create the wedge opening (n = 7) and wedge removal (n = 7) dataset.

resultsA statistically significant difference in the mean plate stresses, screw stresses, and stresses in the tibia at the region around the apex of the osteotomy were found with the wedge removal, resulting in 4-59% greater stresses.

conclusionThe wedge removal is not an accurate representation of a medial opening wedge high tibial osteotomy with respect to the wedge opening. Selecting the appropriate modelling method that best represents the clinical scenario is the first crucial step in creating a representative finite element model.

Indexed as

Finite Element AnalysisModels, BiologicalOsteotomyTibiaAgedFemaleHumansMaleMiddle AgedStress, MechanicalFinite element analysisHTOOsteotomyStress analysis

Identifiers

PMID39656378

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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.