Precontoured Parallel Plate Fixation of AO/OTA Type C Distal Humerus Fractures
Bibliographic record
Abstract
OBJECTIVES: To determine the clinical effectiveness of precontoured parallel plating for the management of Orthopaedic Trauma Association (OTA) type C distal humerus fractures. DESIGN: Retrospective case series. SETTING: Level I trauma center. PATIENTS/PARTICIPANTS: Between 2001 and 2005, 37 patients with OTA type C distal humerus fractures underwent open reduction and internal fixation exclusively with the Mayo Elbow Congruent Plating system. Thirty-two patients consented to participate in the study. INTERVENTION: All patients underwent open reduction and internal fixation with a precontoured bicolumn parallel plating system. MAIN OUTCOME MEASUREMENTS: Range of motion, Mayo Elbow Performance Score, Disabilities of the Arm, Shoulder and Hand score (DASH), complication rate, and radiographic evaluation. RESULTS: At a mean of 27 months follow up, the mean arc of elbow flexion-extension motion was 97 degrees (range, 10 degrees -145 degrees ). The mean Mayo Elbow Performance Score was 82 points and the mean DASH score was 24 points. There were no implant failures and all distal humerus fractures healed. A total of 24 complications occurred in 17 patients (53%) with five patients (16%) having postoperative nerve injuries. CONCLUSIONS: Open reduction and internal fixation with a precontoured parallel plating system is an effective treatment method for OTA type C distal humerus fractures. Despite this, the fact that over half of the patients had a significant complication will require utmost vigilance on the part of the surgeon to avoid intraoperative complications. Patient counseling is paramount.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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".