P.139 Fixation of Type II Odontoid fractures with anterior single screw
Bibliographic record
Abstract
Background: More than 60% of spinal injuries affect the cervical spine,and approximately 20% of all cervical spine injuries involve the axis.The most common axis injury is odontoid fracture.The management of odontoid fractures became less controversial than before. Methods: Thirty consecutive patients(25 males and 5 females)who underwent anterior single screw fixation for recent Type II odontoid fractures at King Fahd Hospital,Al-Madina Al-Munawarah,in Saudi Arabia(SA) between January 2004 and December 2007 were included in this study.Data including clinical examination,imaging studies and operative technique were used to analyze the results of this surgical technique. Results: Single screw for fixation of type II odontoid fracture was found easier and simpler than double screws with the same advantages.This method resulted in immediate spinal stability and preserves normal rotation at C1–2 in all patients.Radiological evidence of bone union achieved in 22 patients(73% of cases);and nonunion in 8 patients(27% of cases).Complications related to surgical procedure and hardware failure were recorded in 4 patients(13% of cases). Conclusions: Direct anterior single screw fixation is an effective,simple,and safe method for treating type II odontoid fractures.It is associated with rapid patient mobilization,minimal postoperative pain,and shorter hospital stay.By this technique,the required anatomical and functional outcome can be obtained through immediate stability of the axis,preserves C1–2 rotatory motion,and achieved high union rate.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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".