Management and Outcomes of Clinical Scaphoid Fractures in Children
Bibliographic record
Abstract
Background: Acute wrist trauma with clinical suspicion of a scaphoid fracture, but normal radiographs, is known as a clinical scaphoid fracture. Standard treatment involves immobilization and repeat radiographs in 10 to 14 days. When repeat radiographs are normal but a scaphoid fracture is still clinically suspected, the optimal management in children is unknown. This study retrospectively assessed the management and outcomes of pediatric patients diagnosed with clinical scaphoid fractures. Methods: A retrospective study was performed of all patients over a 2-year period treated for a clinical scaphoid fracture at a tertiary pediatric center. Patients were included if they had clinical signs of a scaphoid fracture and 2 negative x-rays 7 to 14 days apart postinjury. Results: Ninety-one patients with a mean age of 13.2 years (range: 7.8-17.7) were included. Sixteen patients (17.6%) underwent computed tomography (CT) or magnetic resonance imaging (MRI) at a mean time of 10.2 weeks postinjury. Five patients (5.5%) were diagnosed with a scaphoid fracture by x-ray or CT at an average of 4.5 weeks postinjury (range: 3-6). Six patients were diagnosed with other wrist fractures at a mean time postinjury of 3.1 (range: 3-6.5) weeks. Out of 195 total radiographs, the surgeon and radiologist disagreed on 59 (30.2%) images. No patients underwent surgery. Conclusions: Management of clinical scaphoid fractures at our institution was relatively uniform: nearly all patients were immobilized and less than 20% received advanced imaging. Our findings suggest a low but non-zero occult scaphoid fracture rate, discordance in radiologic interpretation, and lack of advanced imaging, providing an avenue for future prospective studies.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".