A Comparison of Anterior vs Posterior Isolated Mandible Fractures Treated With Intermaxillary Fixation Screws
Bibliographic record
Abstract
OBJECTIVE: To compare complication rates after use of intermaxillary fixation (IMF) bone screws for anterior (ie, symphyseal/parasymphyseal) and posterior (ie, body and angle) mandible fractures. METHODS: A retrospective analysis of isolated mandible fractures treated with intraoperative IMF bone screws at 2 major level 1 trauma centers within the Department of Otolaryngology-Head and Neck Surgery at the University of Minnesota. From January 1, 2003, through January 31, 2006, we accrued 53 patients with 67 isolated mandible fractures treated with intraoperative IMF bone screws. These patients had at least 6 weeks of follow-up. RESULTS: Twenty-one patients had anterior mandible fractures and 32 had posterior mandible fractures. In the anterior group, there was 1 incident of wound dehiscence, resulting in a total complication rate of 5%. In the posterior fracture group, there was 1 infection (3%), 4 malunions/malocclusions (12%), and 1 nonunion (3%), for an overall complication rate of 19%. The difference between groups for malocclusion rates (12% vs 0%) was significant (P < .001). CONCLUSIONS: The IMF bone screw system has a superior speed and safety profile. It produces better occlusion results in anterior mandible fractures and might have a lower overall complication rate compared with arch bars. Given this, IMF bone screws are the preferred modality of intermaxillary fixation in properly selected mandible fractures.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".