“Bouquet technique” for displaced boxers fracture: Surgical technique and outcomes in143 consecutive cases
Bibliographic record
Abstract
Background: Fifth metacarpal neck fractures, also known as Boxer’s fractures, commonly occur as a result of axial impact on a clenched fist. There is no agreement over the optimum management of undisplaced boxers fracture. We present the results of treatment by a Bouquet technique, described by Foucher in 143 consecutive cases of displaced fifth metacarpal neck fractures.Methods: We retrospectively reviewed our records for 143 consecutive cases of fifth metacarpal neck fractures treated with Bouquet technique. Clinical and radiological evaluation was done at 6 weeks, 12 weeks and 6 months. Total active motion of the fifth digit, radiography and complications if any were noted.Results: Of 143 cases, there were 113 cases with closed reduction and 30 with open reduction. Radiological union was achieved in 140 cases. Remaining 3 were lost to follow up. Good to excellent result was achieved in 95% cases. Seven cases developed bursitis at the K-wire entry site which required k-wire removal.Conclusion: The technique of flexible antegrade intramedulary nailing of fifth metacarpal neck fractures is simple, safe, soft tissue sparing, minimally invasive technique giving excellent functional and cosmetic results with minimal complications.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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".