A Comparison of Conservative and Operative Management of Thumb Ulnar Collateral Ligament Avulsion Fractures in Children
Bibliographic record
Abstract
Background: The optimal management of pediatric thumb ulnar collateral ligament (UCL) avulsion fractures remains poorly defined. The purpose of this study was to elucidate patient outcomes based on initial management and fracture characteristics. Methods: A retrospective study of all patients younger than 18 years of age presenting with a thumb UCL avulsion fracture was performed. Patients were grouped by their initial management. The primary outcome of the study was time to return to full activity. Fractures were characterized by articular surface involvement, displacement, and rotation. Results: Forty-seven patients with thumb UCL avulsion fractures were identified. Ten patients underwent surgery as initial treatment; all healed without complication, with a mean recovery time of 6.2 ± 1.8 weeks. Thirty-seven patients were treated conservatively; although most healed, the recovery time was longer (9.2 ± 8.3 weeks, adjusted hazard ratio = 2.3, 95% confidence interval = 1.0-5.5). Four cases (11%) required conversion to surgery that all healed without complications. Fractures treated with immobilization alone were significantly smaller, less displaced, and less rotated than those initially treated with surgery; however, 19 fractures that would have met criteria for surgery were treated with immobilization and successfully healed within 7.1 ± 2.9 weeks. Fracture characteristics did not predict which patients would fail conservative treatment or have prolonged recovery times. Conclusions: While surgery provided definitive treatment without delay in recovery, immobilization may not be an unreasonable treatment choice even for patients with large or displaced fractures. In cases where patients failed immobilization, surgery as a second-line treatment had good results.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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".