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<b>Adherence to <scp>C</scp>anadian <scp>C</scp>‐<scp>S</scp>pine Rule in a regional hospital: A retrospective study of 406</b><b> cases</b>

2012· article· en· W2107810599 on OpenAlexaboutno aff
Mark C. Paxton, Clare Heal, Herwig Drobetz

Bibliographic record

VenueJournal of Medical Imaging and Radiation Oncology · 2012
Typearticle
Languageen
FieldMedicine
TopicSpinal Fractures and Fixation Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRadiographyConfidence intervalEmergency departmentCervical spineIncidence (geometry)RadiologyRetrospective cohort studyNuclear medicineSurgeryInternal medicine

Abstract

fetched live from OpenAlex

INTRODUCTION: Cervical spine radiography may be over-utilised in an emergency department setting. The Canadian C-Spine Rule has been developed to reduce unnecessary radiography. Our aim was to retrospectively determine the proportion of cervical spine radiographs requested through the emergency department for trauma patients that were clinically indicated, according to the Canadian C-Spine Rule. METHODS: This was a cross-sectional survey conducted at a regional centre in Northern Queensland, Australia. All cervical spine radiographs for trauma, performed at the Mackay Base Hospital from 1 January 2009 to the 31 December 2009, were reviewed. The relevant patient charts were audited for evidence of indications for radiography. RESULTS: Of 406 patients in the study, 155 patients (38%) (95% confidence interval 33.3%, 42.7%) had cervical spine imaging performed that was not indicated according to the Canadian C-Spine Rule. None of these patients had a significant cervical spine injury on radiography. CONCLUSION: Applying the Canadian C-Spine Rule would have safely reduced the incidence of cervical spine radiography by 38%. This would also reduce costs, patient morbidity and radiation exposure.

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)0.002
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.077
Threshold uncertainty score0.993

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.020
GPT teacher head0.350
Teacher spread0.330 · 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

Citations19
Published2012
Admission routes1
Has abstractyes

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