Closed Reduction Internal Fixation Rates and Procedure Times for Metacarpal Fractures Treated in a Minor Surgery Area Before and After the Introduction of a Mini C-Arm Unit
Bibliographic record
Abstract
BACKGROUND: Mini C-arm units are compact, mobile, fluoroscopic imaging systems designed for real-time imaging of the extremities. They deliver the lowest possible radiation exposure to the patient and physician while minimizing operator effort and inconvenience. METHODS: A retrospective chart review was undertaken for consecutive metacarpal fractures requiring internal fixation treated in the minor surgery centre before (n=100) and after (n=100) the introduction of the mini C-arm. Open versus closed approach, procedure time and total operating room time were recorded. RESULTS: Before the introduction of the mini C-arm, the percutaneous rate was 48% and the average procedure and total operating room times were 55 min and 102 min, respectively. After mini C-arm implementation, the percutaneous rate increased to 59% and the average procedure and total times were 36 min and 78 min, respectively. CONCLUSIONS: The use of a mini C-arm increased the rate of successful closed reduction internal fixation and reduced the procedure time for metacarpal fractures treated in the minor surgery area.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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) | 0.002 | 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".