Epidemiology of Slipped Capital Femoral Epiphysis in Ontario, Canada
Bibliographic record
Abstract
BACKGROUND: Slipped capital femoral epiphysis (SCFE) is a well-characterized disorder of the hip seen in adolescent patients. It is characterized by deformity secondary to failure through the proximal femoral growth plate, which results in posterior-inferior displacement of the epiphysis on the proximal femoral metaphysis. Long-term sequelae of SCFE may include osteonecrosis, residual deformity, leg length discrepancy, degenerative joint disease, and chronic pain. The long-term consequences of SCFE may be the source of significant morbidity for the patient, and depending of the local incidence of this condition, may represent a significant expenditure of health care resources. Historically, the true incidence of SCFE within Ontario has been approximated using US-based studies of arguably comparable patient populations. In our study, we aimed to characterize the epidemiology of SCFE in the province of Ontario. METHODS: We used a prospectively collected, not-for-profit Ontario research database to identify recorded cases of SCFE between April 1, 2002 and March 31, 2011. Specifically, we identified all hospital discharges with an ICD-9 or 10 diagnostic codes for SCFE in the Canadian Institute for Health Information Discharge Abstract database. RESULTS: Over the 10-year study period, there were 648 cases of SCFE with an average annual incidence rate of 5.68/100,000 in Ontario. CONCLUSIONS: We have observed a trend toward decreasing incidence rates of SCFE in Ontario over the last 10 years. The determination for the underlying causes for the changing trends of SCFE may be relevant for initiating public health campaigns directed at reducing the incidence of SCFE LEVEL OF EVIDENCE:: Level IV-epidemiological study.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.006 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".