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Record W2910044693 · doi:10.2147/oaem.s149296

A missed traumatic atlanto-axial rotatory subluxation in an adult patient: case report

2019· article· en· W2910044693 on OpenAlexaff
Bardia Barimani, Rayan Fairag, Fahad H. Abduljabbar, Ahmed Aoude, Carlo Santaguida, Jean Ouellet, Michael H. Weber

Bibliographic record

VenueOpen Access Emergency Medicine · 2019
Typearticle
Languageen
FieldMedicine
TopicSpinal Fractures and Fixation Techniques
Canadian institutionsMcGill University Health Centre
Fundersnot available
KeywordsMedicineSubluxationPathologyAlternative medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Traumatic atlanto-axial rotatory subluxation (AARS) in an adult is a rare condition, which if left untreated can be fatal. In addition to this, many symptoms experienced such as neck pain and stiffness are non-specific which often leads to misdiagnosis, thus delaying definitive treatment. AARS can be divided into traumatic and non-traumatic causes with the latter generally encompassing congenital cervical spine abnormalities. CASE PRESENTATION: We present a case of a 66-year-old female with traumatic rotatory AARS, which was initially misdiagnosed in the emergency department. This patient was subsequently recalled to the hospital when the misdiagnosis was spotted the following day from imaging results. The patient was initially managed conservatively as an inpatient using head halter cervical traction which proved to give good clinical reduction allowing discharge with Miami J upon ambulation. Upon follow up the patient was experiencing continuous pain but remained neurovascularly intact. She thus opted for definitive management with C1-C2 stabilization with an open reduction and internal fixation. CONCLUSION: This case demonstrates the importance of having a high index of suspicion to diagnose AARS in cervical spine trauma presenting to the emergency department, until exclusion can be made using imaging and clinical examination.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.036
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0110.000

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 head0.094
GPT teacher head0.447
Teacher spread0.353 · 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.

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

Citations9
Published2019
Admission routes1
Has abstractyes

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