Fixation Using Alternative Implants for the Treatment of Hip Fractures (FAITH-2): The Clinical Outcomes of a Multicenter 2 × 2 Factorial Randomized Controlled Pilot Trial in Young Femoral Neck Fracture Patients
Bibliographic record
Abstract
OBJECTIVE: To assess whether the fixation method and vitamin D supplementation affect the risk of patient-important outcomes within 12 months of injury in nongeriatric femoral neck fracture patients. DESIGN: A pilot factorial randomized controlled trial. SETTING: Fifteen North American clinical sites. PARTICIPANTS: Ninety-one adults 18-60 years of age with a femoral neck fracture requiring surgical fixation. INTERVENTION: Participants were randomized to a surgical intervention (sliding hip screw or cancellous screws) and a vitamin D intervention (vitamin D3 4000 IU daily vs. placebo for 6 months). MAIN OUTCOME MEASUREMENTS: The primary clinical outcome was a composite of patient-important complications (reoperation, femoral head osteonecrosis, severe femoral neck malunion, and nonunion). Secondary outcomes included fracture-healing complications and radiographic fracture healing. RESULTS: Eighty-six participants with a mean age of 41 years were included. We found no statistically significant difference in the risk of patient-important outcomes between the surgical treatment arms (hazard ratio 0.90, 95% confidence interval 0.40-2.02, P = 0.80) and vitamin D supplementation treatment arms (hazard ratio 0.96, 95% confidence interval 0.42-2.18, P = 0.92). CONCLUSIONS: These pilot trial results continue to describe the results of current fixation implants, inform the challenges of improving outcomes in this fracture population, and may guide future vitamin D trials to improve healing outcomes in young fracture populations. Although the pilot trial was not adequately powered to detect treatment effects, publishing these results may facilitate future meta-analyses on this topic. LEVEL OF EVIDENCE: Therapeutic 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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".