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Record W3117674039 · doi:10.25259/sni_479_2020

Hemiparesis resulting from an unusual C1 fracture: A case report and literature review

2020· article· en· W3117674039 on OpenAlexaff
Sung-Joo Yuh, Zhi Wang, Ghassan Boubez, Daniel Shédid

Bibliographic record

VenueSurgical Neurology International · 2020
Typearticle
Languageen
FieldMedicine
TopicSpinal Fractures and Fixation Techniques
Canadian institutionsCentre Hospitalier de l’Université de MontréalHôpital Maisonneuve-Rosemont
Fundersnot available
KeywordsMedicineOcciputDecompressionSurgeryCervical fractureLateral massHemiparesisComputed tomographyBurst fractureMagnetic resonance imagingRadiologyCervical spineAngiography

Abstract

fetched live from OpenAlex

BACKGROUND: Jefferson fractures are burst fractures involving both the anterior and posterior arches of C1. They typically result from axial compression or hyperextension injuries. Most are stable, and neurological deficits are rare. They are often successfully treated with external immobilization, but require surgery (e.g., fusion/ stabilization). CASE DESCRIPTION: An 89-year-old male presented with a left-sided hemiplegia following a trivial fall. The cervical computed tomography scan revealed a left-sided displaced comminuted C1 fracture involving the arch and lateral mass. The MR revealed posterior cord compression and focal myelomalacia. Six months following an emergent C1-C3 decompression with occiput to C4 instrumented fusion, the patient was neurologically intact and pain-free. CONCLUSION: An 89-year-old male presented with a left-sided hemiplegia due to a Type 3/4 C1 Jefferson fracture. Following posterior C1-C3 surgical decompression with C0-C4 instrumented fusion, the patient sustained a complete bilateral motor recovery.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.008
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0080.006
Science and technology studies0.0020.002
Scholarly communication0.0020.003
Open science0.0020.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0030.001

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 head0.020
GPT teacher head0.340
Teacher spread0.321 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations0
Published2020
Admission routes1
Has abstractyes

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