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Record W2276963149 · doi:10.7205/milmed-d-14-00635

Clearing the Cervical Spine in a War Zone: What Other Injuries Matter?

2015· article· en· W2276963149 on OpenAlexaff
Jennifer Drew, Victoria B. Chou, Catriona Miller, Bryson D. Borg, Nichole K. Ingalls, Stacy Shackelford

Bibliographic record

VenueMilitary Medicine · 2015
Typearticle
Languageen
FieldMedicine
TopicSpinal Fractures and Fixation Techniques
Canadian institutionsCanadian Armed Forces
Fundersnot available
KeywordsMedicinePhysical examinationPoison controlBlunt traumaTrauma centerMedical recordGlasgow Coma ScaleSurgeryInjury preventionRetrospective cohort studyPhysical therapyEmergency medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Cervical spine clearance requires clinicians to assess the reliability of physical examination based on a patient's mental status and distracting injuries. Distracting injuries have never been clearly defined in military casualties. METHODS: Retrospective review was conducted of patients entered into Department of Defense Trauma Registry January 2008 to August 2013, identifying blunt trauma patients with cervical spine injury and Glasgow Coma Score ≥ 14. Physical examination and radiology results were abstracted from medical records and injury diagnoses were obtained from Department of Defense Trauma Registry. Groups were compared, p-value of < 0.05 was considered significant. RESULTS: A total of 149 patients met study criteria; 20 patients (13%) had a negative clinical examination of the cervical spine. Coexisting injuries identified in patients with negative physical examination included injuries in proximity to the neck (head, thoracic spine, chest, or humerus) in 17 (85%) patients. In 3 patients (15%), coexisting injuries were not in proximity to the neck and included pelvic, femur, and tibia fractures. All patients without coexisting injury (n = 37) had a positive physical examination. CONCLUSION: Physical examination of multitrauma casualties with neck injury may be unreliable when distracting injuries are present. When no distracting injuries were present, the physical examination was accurate in all patients.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.252
Threshold uncertainty score0.865

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0010.000

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 head0.029
GPT teacher head0.316
Teacher spread0.287 · 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

Citations2
Published2015
Admission routes1
Has abstractyes

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