Pediatric hand fractures: A review
Bibliographic record
Abstract
OBJECTIVE: To identify the incidence, causes, and details of hand fractures in children. DESIGN: A retrospective chart review. METHODS: Records of children under 16 years of age who had sustained a hand fracture within the last 5 years were collected from the patient population of British Columbia's Children's Hospital. A total of 242 hand fractures in 232 patients were documented. These patients were reviewed for age at time of injury, gender, location of the incident, mechanism of injury, number of radiographs taken, and fracture specifics. Radiographs with obscure details or incomplete folders were excluded. RESULTS: The patients consisted of 57 (24.6%) females and 175 (75.4%) males, with a mean age of 11.1 +/- 3.3 years. Incidence was low in early childhood but rose sharply after age 9 and peaked at 12 years of age. Sporting activities were the most common cause in both sexes. The fifth metacarpal was the most frequently involved bone (21.1% of total). Nonepiphyseal fractures accounted for 60.2% of the fractures, and the remaining 39.8% were epiphyseal fractures, predominantly Salter-Harris type II (90.4%). Fractures with comminution, severe displacement, intraarticular involvement, and condylar involvement were seen in 12.4%, 12.4%, 20.5%, and 15.1%, respectively. An average of 4.2 radiographs were taken per patient. CONCLUSION: Almost all fractures healed in 2 to 3 weeks with excellent functional outcome. Knowledge of epidemiology and etiology of hand fractures can serve as an essential first step in devising strategies to reduce the incidence of these hand injuries. It is hoped that studies such as the present study may serve as a first step in planning measures to reduce the occurrence of hand 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".