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Record W2322808945 · doi:10.1097/bpo.0000000000000566

Variation of Syndesmosis Anatomy With Growth

2015· article· en· W2322808945 on OpenAlexaff
Marie‐Lyne Nault, Jonah Hébert‐Davies, Yi‐Meng Yen, Benjamin J. Shore, Delma Y. Jarrett, Dennis E. Kramer

Bibliographic record

VenueJournal of Pediatric Orthopaedics · 2015
Typearticle
Languageen
FieldMedicine
TopicFoot and Ankle Surgery
Canadian institutionsUniversité de MontréalHôpital du Sacré-Cœur de MontréalCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsSyndesmosisMedicineFibulaAnkleTibiaMagnetic resonance imagingAnatomyPopulationOrthodonticsRadiology

Abstract

fetched live from OpenAlex

BACKGROUND: Syndesmosis injury is common in trauma and in the sport medicine population. Diagnosis and treatment of this pathology is controversial in adult population and almost unknown in a growing and immature ankle. The objective of this study was to describe the relationship between the distal tibia and fibula in immature, growing, and mature children. METHODS: A retrospective imaging study was performed on ankle magnetic resonance images (MRI), which were divided into 3 groups according to age: immature, growing, or mature. The syndesmosis anatomy was described in 3 planes following an established measurement system. The measurement system was also validated (intraobserver and interobserver reproducibility) on a subgroup of 30 MRIs with 4 surgeons. RESULTS: The measurement system, previously described on CT scans, is valid when used on MRIs. The mediolateral translation significantly increases with growth and external rotation of fibula decreases. The anteroposterior position is also significantly different between groups but the ratios are similar. CONCLUSIONS: This study reported differences in distal tibiofibular relationship in a growing population. This information will be crucial in future development of diagnostic and follow-up criteria of syndesmosis injury. It also presented a valid and precise measurement system to describe syndesmotic anatomy in 3 planes. LEVEL OF EVIDENCE: Level IV.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.019
Threshold uncertainty score0.294

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.022
GPT teacher head0.259
Teacher spread0.237 · 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

Citations14
Published2015
Admission routes1
Has abstractyes

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