Traumatic Atlantoaxial Rotatory Dislocation With Odontoid Fracture
Bibliographic record
Abstract
STUDY DESIGN: A case of traumatic rotatory dislocation associated with odontoid fracture is reported. OBJECTIVES: To report a rare case of traumatic rotatory dislocation associated with odontoid fracture, and to discuss the mechanism underlying spinal instability and management. SUMMARY OF BACKGROUND DATA: This case is a cross between traumatic rotatory fixation and atlantoaxial rotatory dislocation. Classification of rotatory subluxation change after osteosynthesis of the odontoid process was undertaken. METHODS: A 24-year-old man sustained head and cervical injury after jumping. A Type 2 odontoid fracture without displacement was noted. RESULTS: Without further traumatic event, 1 month after injury, computed tomography scan showed posterior displacement of the odontoid fracture and Type 4 or B atlantoaxial rotatory luxation. After surgical fixation and reduction of the odontoid fracture, the rotatory subluxation classification changed and became Type 1 or A. Posterior C1-C2 arthrodesis was performed. The patient wore a Philadelphia cervical collar for 3 months and underwent physiotherapy. CONCLUSIONS: As the pivot of rotatory subluxation changed after odontoid process osteosynthesis, posterior C1-C2 arthrodesis was performed. The patient probably could have been treated in a single-stage procedure using posterior C1-C2 transarticular fixation with bicortical interspinous graft.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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.
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".