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Record W2915722957 · doi:10.1177/2471549219829964

Effect of Radial Neck Length on Joint Loading

2019· article· en· W2915722957 on OpenAlexafffund
Carolyn Berkmortel, Michael Gladwell, Jennifer Ng, Louis M. Ferreira, George S. Athwal, James A. Johnson, Graham JW King

Bibliographic record

VenueJournal of Shoulder and Elbow Arthroplasty · 2019
Typearticle
Languageen
FieldMedicine
TopicElbow and Forearm Trauma Treatment
Canadian institutionsSt Joseph's Health CareLawson Health Research InstituteSouth Bruce Grey Health CentreWestern University
FundersNatural Sciences and Engineering Research Council of CanadaCanadian Institutes of Health Research
KeywordsRadial headElbowCadaveric spasmLigamentMaterials scienceMedial collateral ligamentRadial lineRadial arteryValgusRadial stressRadial nerveAnatomyOrthodonticsMedicineSurgeryComposite materialMathematicsDeformation (meteorology)Geometry

Abstract

fetched live from OpenAlex

Introduction: Load transfer across the radiocapitellar joint of the elbow is poorly understood both in the setting of the native radial head and following radial head arthroplasty. The purpose of this in vitro study was to determine the effects of radial neck length, arm position, and lateral collateral ligament (LCL) repair on radial load.Methods: A uniaxial load cell was implanted into the radial neck of 8 cadaveric specimens that were mounted on an in vitro motion-control simulator and tested (in dependent, varus, and valgus arm orientations) with the native radial neck length and then −4 to +4 mm lengths. Testing was performed with the LCL intact and after sectioning and repair.Results: There was no significant difference between the 2 LCL states (P = .82), and LCL state was not protective of proximal radius overlengthening. Radial loads increased with increasing radial length (P < .001).Discussion and Conclusion: Overlengthening the radial neck resulted in higher compression forces, and underlengthening produced tensile forces, demonstrating that restoration of correct radial length during radial head arthroplasty is important to restore physiologic loading. In the varus position, tensile loading occurred, which may explain clinical problems with ingrowth of uncemented radial head implant stems and dissociation of bipolar implants.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.248
Threshold uncertainty score0.443

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.269
Teacher spread0.257 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2019
Admission routes2
Has abstractyes

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