Early Radiographic Union Score for Hip Is Predictive of Femoral Neck Fracture Complications Within 2 Years
Bibliographic record
Abstract
OBJECTIVES: To determine if the Radiographic Union Score for Hip (RUSH) measured at 3 and 6 months after femoral neck fracture were predictive of reoperation for infection, nonunion, delayed union, avascular necrosis, or implant failure within 24 months of initial surgery. DESIGN: Secondary analysis of a randomized controlled trial. Logistic regression was performed to investigate associations between lower RUSH and reoperation. Results were reported as odds ratios (OR), 95% confidence intervals (CIs), and associated P values. All tests were 2 tailed with alpha = 0.05. SETTING: Eighty-one clinical sites across 8 countries. PATIENTS/PARTICIPANTS: Data from 734 of the clinical trial participants with radiographs at 3 and 6 months after fracture fixation were included. INTERVENTION: A reviewer blinded to patients' outcomes independently assigned a RUSH at each follow-up time point. MAIN OUTCOME MEASURES: Revision surgery rate related to intervention. RESULTS: Lower RUSH at 3 and 6 months were associated with increased odds of reoperation within 24 months of fracture fixation. For every 2-point decrease in RUSH at 3 months, there was a 16% increase in the odds of a patient experiencing a re-operation (OR, 1.16; 95% CI, 1.10-1.22; P < 0.0001). A similar association was observed at the 6-month assessment for every 2-point decrease (OR = 1.05; 95% CI, 1.01-1.09; P = 0.005). CONCLUSIONS: Decreased radiographic healing as early as 3 months post fracture fixation is associated with developing patient important femoral neck fracture reoperations. This relationship may guide early treatment decisions, suggesting that 3- and 6-month RUSH are a useful surrogate measure of reoperations within 24 months of fracture fixation. LEVEL OF EVIDENCE: Prognostic Level II. See Instructions for Authors for a complete description of levels of evidence.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".