Deltopectoral vs Deltoid Split Approach for Proximal HUmerus Fracture Fixation With Locking Plate: A Prospective RAndomized Study (HURA Study)
Bibliographic record
Abstract
BACKGROUND: This study aimed to compare the functional and clinical outcomes between the deltoid split (DS) approach and the classic deltopectoral (DP) approach for locking plate fixation of proximal humerus fractures (PHF) in a prospective randomized multicenter study. METHODS: From 2007 to 2015, all patients with a PHF Neer II/III were invited to participate. Exclusion criteria were pre-existing pathology to the limb, patient refusing or too ill to undergo surgery, patient needing another type of treatment (nail, arthroplasty), and axillary nerve impairment. After consent, patients were randomized to one of the 2 treatments using the dark envelope method. Functional outcome was evaluated by validated questionnaires (12-Item Short Form Health Survey: version 2, Quick-DASH) with a minimum follow-up of 12 months. Complications were noted. RESULTS: A total of 85 patients (44 DS, 41 DP) were randomized (mean age of 62). Groups were equivalent in terms of age, gender, body mass index, severity of fracture, and preinjury scores. The mean follow-up was 26 months. All clinical outcome measures were in favor of the deltopectoral approach. Specifically, the Q-DASH and SF-12v2 were better in the DP group (12 vs. 26, P = .003 and 56 vs. 51, P = .049, respectively). There were more complications in DS patients, but they did not reach statistical significance. CONCLUSIONS: The primary hypothesis on the superiority of the deltoid split incision was rebutted. On the basis of our study, the DP approach seems to offer better function compared with the DS approach for fixation of Neer 2 and 3 PHF fractures fixed with a locking plate.
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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 | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".