Evidence map›Paper›PMID 37802738›Full record

ArticleInjury2023

Employing direct electromagnetic coupling to assess acute fracture healing: An ovine model assessment.

Kevin M Labus, Jakob Wolynski, Jeremiah Easley, Holly L Stewart, Milan Ilic, Branislav Notaros, Taylor Zagrocki, Christian M Puttlitz, Kirk C McGilvray

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Injury, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Observational
  2. Article
  3. Article
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.

Kevin M LabusOrthopaedic Bioengineering Research Laboratory, Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, USA.
Jakob WolynskiOrthopaedic Bioengineering Research Laboratory, Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, USA.
Jeremiah EasleyPreclinical Surgical Research Laboratory, Department of Clinical Sciences, Colorado State University, Fort Collins, Colorado, USA.
Holly L StewartPreclinical Surgical Research Laboratory, Department of Clinical Sciences, Colorado State University, Fort Collins, Colorado, USA.
Milan IlicUniversity of Belgrade, School of Electrical Engineering, Belgrade, Serbia.
Branislav NotarosElectromagnetic Laboratory, Department of Electrical and Computer Engineering, Colorado State University, Fort Collins, Colorado, USA.
Taylor ZagrockiOrthopaedic Bioengineering Research Laboratory, Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, USA.
Christian M PuttlitzOrthopaedic Bioengineering Research Laboratory, Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, USA.
Kirk C McGilvrayOrthopaedic Bioengineering Research Laboratory, Department of Mechanical Engineering, Colorado State University, Fort Collins, CO, USA. Electronic address: Kirk.McGilvray@colostate.edu.
Colorado State University · USUniversity of Belgrade · RS

Funding

Early Detecton and Prediction of Complex Bone Fracture HealingR01AR069734 · NIAMS · COLORADO STATE UNIVERSITY · PI MCGILVRAY, KIRK · 2016 to 2020
$2.6M
NIAMS NIH HHS R01 AR069734
6 · The paper itself

Abstract

objectivesThis study explored the efficacy of collecting temporal fracture site compliance data via an advanced direct electromagnetic coupling (DEC) system equipped with a Vivaldi-type antenna, novel calibration technique, and multi-antenna setup (termed maDEC) as an approach to monitor acute fracture healing progress in a translational large animal model. The overarching goal of this approach was to provide insights into the acute healing dynamics, offering a promising avenue for optimizing fracture management strategies.

methodsA sample of twelve sheep, subjected to ostectomies and intramedullary nail fixations, was divided into two groups, simulating normal and impaired healing scenarios. Sequential maDEC compliance or stiffness measurements and radiographs were taken from the surgery until euthanasia at four or eight weeks and were subsequently compared with post-sacrifice biomechanical, micro-CT, and histological findings.

resultsThe results showed that the maDEC system offered straightforward quantification of fracture site compliance via a multiantenna array. Notably, the rate of change in the maDEC-measured bending stiffness significantly varied between normal and impaired healing groups during both the 4-week (p = 0.04) and 8-week (p = 0.02) periods. In contrast, radiographically derived mRUST healing measurements displayed no significant differences between the groups (p = 0.46). Moreover, the cumulative normalized stiffness maDEC data significantly correlated with post-sacrifice mechanical strength (r

conclusionsThese data indicate that the enhanced maDEC system provides a non-invasive, accurate method to monitor fracture healing during the acute healing phase, showing distinct stiffness profiles between normal and impaired healing groups and offering critical insights into the healing process's progress and efficiency.

Indexed as

Fracture HealingFractures, BoneAnimalsBiomechanical PhenomenaElectromagnetic PhenomenaInternal FixatorsRadiographySheepAcute fracture healingBiomechanical monitoringDirect electromagnetic coupling (DEC)Fracture complianceOvine modelRadiographic union score for tibia (mRUST)

Identifiers

PMID37802738
PMCPMC10843464
OpenAlexW4387213917

What OpenQuestion holds

Textmetadata
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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.