Evidence map›Paper›PMID 37871506›Full record

ArticleClinical biomechanics (Bristol, Avon)2023

An analytical model of lateral condylar plate working length.

Gregory R Roytman, Brian Beitler, Julia LaMonica, Matthew Spero, Kendal Toy, Alim F Ramji, Brad Yoo, Michael P Leslie, Michael Baumgaertner, Steven M Tommasini and 1 more

Open access · greenAbstract read
In one paragraph

Article in Clinical biomechanics (Bristol, Avon), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 73% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

11 authors at 1 institution in 1 country.

Gregory R RoytmanOrthopaedics and Rehabilitation, Yale University School of Medicine, 47 College Place, New Haven, CT 06510, USA; Biomedical Engineering, Yale University School of Engineering & Applied Science, 17 Hillhouse Avenue, New Haven, CT 06520, USA. Electronic address: gregory.roytman@yale.edu.
Brian BeitlerOrthopaedics and Rehabilitation, Yale University School of Medicine, 47 College Place, New Haven, CT 06510, USA.
Julia LaMonicaOrthopaedics and Rehabilitation, Yale University School of Medicine, 47 College Place, New Haven, CT 06510, USA.
Matthew SperoOrthopaedics and Rehabilitation, Yale University School of Medicine, 47 College Place, New Haven, CT 06510, USA.
Kendal ToyOrthopaedics and Rehabilitation, Yale University School of Medicine, 47 College Place, New Haven, CT 06510, USA.
Alim F RamjiOrthopaedics and Rehabilitation, Yale University School of Medicine, 47 College Place, New Haven, CT 06510, USA.
Brad YooOrthopaedics and Rehabilitation, Yale University School of Medicine, 47 College Place, New Haven, CT 06510, USA.
Michael P LeslieOrthopaedics and Rehabilitation, Yale University School of Medicine, 47 College Place, New Haven, CT 06510, USA.
Michael BaumgaertnerOrthopaedics and Rehabilitation, Yale University School of Medicine, 47 College Place, New Haven, CT 06510, USA.
Steven M TommasiniOrthopaedics and Rehabilitation, Yale University School of Medicine, 47 College Place, New Haven, CT 06510, USA; Biomedical Engineering, Yale University School of Engineering & Applied Science, 17 Hillhouse Avenue, New Haven, CT 06520, USA.
Daniel H WizniaOrthopaedics and Rehabilitation, Yale University School of Medicine, 47 College Place, New Haven, CT 06510, USA; Mechanical Engineering & Materials Science, Yale University School of Engineering & Applied Science, 17 Hillhouse Avenue, New Haven, CT 06520, USA.
Yale University · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863
6 · The paper itself

Abstract

backgroundThe locking plate is a common device to treat distal femur fractures. Healing is affected by construct stiffness, thus many surgeon-controlled variables such as working length have been examined for their effects on strain at the fracture. No convenient analytical model which aids surgeons in determining working length has yet been described. We propose an analytical model and compare it to finite element analysis and cadaveric biomechanical testing.

methodsFirst, an analytical model based on a cantilever beam equation was derived. Next, a finite element model was developed based on a CT scan of a "fresh-frozen" cadaveric femur. Third, biomechanical testing in single-leg stance loading was performed on the cadaver. In all methods, strain at the fracture was recorded. An ANCOVA test was conducted to compare the strains.

findingsIn all models, as the working length increased so did strain. For strain at the fracture, the shortest working length (35 mm) had a strain of 8% in the analytical model, 9% in the finite element model, and 7% for the cadaver. The longest working length (140 mm) demonstrated strain of 15% in the analytical model, and the finite element and biomechanical tests both demonstrated strain of 14%.

interpretationThe strain predicted by the analytical model was consistent with the strain observed in both the finite element and biomechanical models. As demonstrated in existing literature, increasing the working length increases strain at the fracture site. Additional work is required to refine and establish validity and reliability of the analytical model.

Indexed as

Femoral FracturesFracture Fixation, InternalBiomechanical PhenomenaBone PlatesBone ScrewsCadaverFinite Element AnalysisHumansReproducibility of ResultsAnalytical modelDistal femur fractureDynamic condylar screwFinite element analysisLateral condylar plate

Identifiers

PMID37871506
PMCPMC10848195
OpenAlexW4387747444

What OpenQuestion holds

Textmetadata
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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.