Open Reduction with Internal Fixation of Mandibular Angle Fractures: A Retrospective Study.
Bibliographic record
Abstract
OBJECTIVE: The goal of this project was to report the complications associated with mandibular angle fractures and identify variables affecting their occurrence. METHODS: We retrospectively reviewed the charts of patients with a mandibular angle fracture treated at the Centre hospitalier universitaire de Québec between 2009 and 2013. RESULTS: Seventy-eight patients (73 males) aged 15-59 years (mean 25.2 years) met our inclusion criteria. A wisdom tooth was present in 85.9% (n = 67) of the cases and it was removed 62.7% (n = 42) of the time. Thirty-four patients (43.6%) had other mandibular fractures. Most fractures were fixated with a sagittal split osteotomy plate (n = 32; 41.0%) or a 2.0-mm plate on the lateral aspect of the mandible (n = 20; 25.6%). The overall complication rate was 42.3% (n = 33); of these 37.2% were infections, 26.9% involved plate removal and 6.4% were associated with non-union. Older patients had more infections (p = 0.03) and more plates removed (p = 0.03). When a wisdom tooth was extracted, more infections (p = 0.04) and overall complications (p = 0.02) were observed. CONCLUSION: This study confirms that, when treating a mandibular angle fracture in a healthy patient, it may be beneficial to leave a wisdom tooth in the line of fracture in place, if there is no indication to remove it.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".