Femoroacetabular Impingement: Have We Hit a Global Tipping Point in Diagnosis and Treatment? Results From the InterNational Femoroacetabular Impingement Optimal Care Update Survey (IN FOCUS)
Bibliographic record
Abstract
PURPOSE: This international survey was conducted to assess the perceptions of orthopaedic surgeons regarding the diagnosis and management of femoroacetabular impingement (FAI) as well as to explore the current demographic characteristics of surgeons performing FAI surgery. METHODS: A survey was developed using previous literature, focus groups, and a sample-to-redundancy strategy. The survey contained 46 questions and was e-mailed to national orthopaedic associations and orthopaedic sports medicine societies for member responses. Members were contacted on multiple occasions to increase the response rate. RESULTS: Nine hundred orthopaedic surgeons from 20 national and international organizations completed the survey. Surgeons responded across 6 continents, 58.2% from developed nations, with 35.4% having sports fellowship training. North American and European surgeons reported significantly greater exposure to hip arthroscopy during residency and fellowship training in comparison to international respondents (48.0% and 44.5% respectively, v 25.6%; P < .001). Surgeons performing a higher volume of FAI surgery (> 100 cases per year) were significantly more likely to have practiced for more than 20 years (odds ratio [OR], 1.91; 95% confidence interval [CI], 1.01 to 3.63), to be practicing at an academic hospital (OR, 2.25; 95% CI, 1.22 to 4.15), and to have formal arthroscopy training (OR, 46.17; 95% CI, 20.28 to 105.15). High-volume surgeons were over two-fold more likely to practice in North America and Europe (OR, 2.26; 95% CI, 1.08 to 4.72). CONCLUSIONS: The exponential rise in the diagnosis and surgical management of FAI appears to be driven largely by experienced surgeons in developed nations. Significant variability exists regarding the diagnosis and management of FAI. Our analysis suggests that although FAI management is early in the innovation cycle, we are at a tipping point toward wider uptake and use.
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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 | 0.003 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".