Assessment of stability of the cervical spine in blunt trauma patients: review of the literature, with presentation and preliminary results of a modified traction test protocol.
Bibliographic record
Abstract
OBJECTIVE: To review the reported efficacy of various imaging techniques in assessing stability of the neck in blunt trauma patients, and to present the protocol and preliminary results of a modified traction test protocol. DESIGN: This is a prospective cohort study. SETTING: A regional trauma unit in Southern Ontario. PATIENTS: People with blunt-trauma injuries who came to the author's consultant practice with "C-spine not cleared" status, from January 2001 through December 2003. INTERVENTIONS: A fluoroscopically controlled test of axial traction followed by flexion/extension stressing. OUTCOME MEASURES: Radiographic confirmation of the absence of pathological motion under load. RESULTS: In 51 cases studied to date, no instabilities have been found. Four cases of minor ligamentous hypermobility have been detected, with stability confirmed and no surgery required. There have been no failures to depict the neck completely, no missed instabilities and no complications of the procedure. CONCLUSIONS: Cervical stability can be reliably confirmed with this test without any requirement for advanced imaging technology.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".