Trends in implementation of evidence-based hip fracture management in a major Canadian city
Bibliographic record
Abstract
Aims: The importance of hip fracture care has resulted in an abundance of hip fracture management literature. The degree this evidence is incorporated into clinical practice is unknown. We examined 5 trends in hip fracture management: arthroplasty versus fixation, total hip arthroplasty (THA) versus hemiarthroplasty (HA), cemented versus uncemented femoral stem fixation, short versus long cephalomedullary nail (CMN) fixation, and time from admission to surgery. Our primary aim was to understand and assess hip fracture management trends in relation to pertinent literature. Methods: diagnostic codes were assigned using preoperative radiographs. Surgical management was confirmed using intraoperative and postoperative radiographs and split into 6 categories: (1) short CMN, (2) long CMN, (3) cannulated screws, (4) dynamic hip screw, (5) HA, and (6) THA. Appropriate statistical tests were used to analyze trends. Results: In 4 assessed trends, hip fracture management aligned with high-level evidence. This was the case for a trend toward arthroplasty for displaced femoral neck fractures, increased use of THA relative to HA, increased use of short relative to long CMNs, and consistent decrease in surgical wait times. Despite the literature highlighting the disadvantages of uncemented femoral stems, our data demonstrated increased use of uncemented femoral stems. Conclusion: Evidence to guide orthopaedic practice is constantly emerging but may not be effectively used by clinicians. Our findings demonstrate the successes and failures of integrating evidence into hip fracture management and highlight that orthopaedic surgeons have an ongoing responsibility to strive for evidence-based practice.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".