FEMORAL INTRAMEDULLARY NAILING: COMPARISON OF FRACTURE-TABLE AND MANUAL TRACTION
Bibliographic record
Abstract
BACKGROUND: The purpose of this study was to compare manual traction and fracture-table traction for the reduction and nailing of femoral shaft fractures. We evaluated the quality of the reduction, operative time, complications, and functional status of the patient. METHODS: Eighty-seven consecutive adult patients with a unilateral fracture of the femoral diaphysis that did not extend into the knee joint or proximal to the lesser trochanter were enrolled in the study. Patients who were transferred to our institution more than forty-eight hours after injury; those with multiple-system injuries, injury to the ipsilateral lower extremity, or pathological fracture; and those who were unable or unwilling to provide consent or to return for follow-up were excluded. Forty-five patients were randomized to manual traction and forty-two, to fracture-table traction; all were treated in the supine position. The number of surgical assistants, operative and fluoroscopy time, complications, functional scores, and other outcomes were recorded. RESULTS: There were no significant differences between the groups with respect to age, gender, Glasgow Coma Score, Injury Severity Score, side or mechanism of injury, fracture type, or time from injury to treatment. Internal malrotation was significantly more common when the fracture table had been used: twelve (29%) of the forty-two femora were internally rotated by >10 compared with three (7%) of the forty-five treated with manual traction (p = 0.007). Total operative time, from the beginning of the patient positioning to the completion of the skin closure, was decreased from a mean of 139 minutes (range, 100 to 212 minutes) when the fracture table was used to a mean of 119 minutes (range, sixty-five to 180 minutes) when manual traction was used (p = 0.033). There was no significant difference between the two treatment groups with regard to the number of assistants per case (mean two; range, zero to three), fluoroscopy time, other complications including femoral shortening or lengthening, or functional status of the patient at one year. CONCLUSIONS: Compared with fracture-table traction with the patient in a supine position, manual traction for intramedullary nailing of isolated fractures of the femoral shaft is an effective technique that decreases operative time and improves the quality of the reduction.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.003 | 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".