Open fractures of the femur in children: Analysis of various treatment methods
Bibliographic record
Abstract
PURPOSE: To describe the demographic and clinical characteristics of children who presented with open femur fractures. METHODS: A retrospective chart review of all children treated for open femur fractures at the McGill University Health Center between 1980 and 2009 was conducted. Thirty-seven patients (28 males and 9 females) were identified. Union was determined clinically by the absence of pain, tenderness to palpation and crepitus with motion. Complications were reported. RESULTS: The mean age of the patients was 11.5 years (range 2.8-18.1 years). The mechanism of injury involved motor vehicle-related injuries in 70% of cases. There were 13 Grade I, 15 Grade II and 9 Grade III fractures. The treatment involved traction and hip spica in 11 patients, external fixator in nine patients, intramedullary nailing in seven patients, open reduction and internal fixation in six patients, and traction and an ischial weight bearing brace in four patients. Average time to union was 5.1 months (range 1.5-14.4 months). Infections occurred in ten patients, nine had delayed unions, two developed malunions, four had a refracture and four patients developed a limb length discrepancy >2 cm. CONCLUSIONS: Open fractures of the femur are often accompanied by associated injuries, indicating the importance of early and comprehensive treatment. Treatment may include hip spica application in school-age children and solid intramedullary nails in adolescents. In children with multiple injuries, specifically those with higher fracture grades, treatment with an external fixator provides immediate stability of the fracture and allows early mobilization and ease of management of associated injuries.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".