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 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 | 0.007 | 0.021 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| 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 | 0.001 |
| 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".