The surgical treatment of teratologic dislocation of the hip
Bibliographic record
Abstract
Since 1974, our approach to treatment of teratologic dislocation of the hip in children has been surgical. We retrospectively reviewed 20 teratologic hip dislocations in 13 children with a minimum follow-up of 2 years. Closed treatment failed in most of the hips. At a mean age of 13 months, 11 patients (18 hips) had an open reduction and a one-and-a-half hip spica. It was followed in most of these hips by a femoral varus derotational osteotomy 6 weeks later. Only three hips had an open reduction followed by 3 months of casting. One of these three hips had salmonella infection and a redislocation. Our main complication was avascular necrosis in 20% of hips, two patients (two hips) ending with a leg length discrepancy. There was some limitation of motion in 65% of hips but 76% of patients had a good functional hip score. There was no difference in the results of unilateral versus bilateral dislocation. Poor results were found in three patients and could be explained by trunk hypotonia, marked limitation of motion and severe involvement of upper extremities, multiple deformities and fixed flexion in the lower extremities, generalized weakness and developmental delay. In spite of these difficulties and complications, results are encouraging.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".