ASSESSMENT OF ILIZAROV CORRECTION OF RESISTANT CLUBFOOT DEFORMITY USING A VARIETY OF OUTCOME MEASURES
Bibliographic record
Abstract
We reviewed the outcome of 30 patients treated with an Ilizarov frame for resistant clubfoot deformity. Each patient was assessed using objective and subjective outcome measures. We used clinical examination, X-ray analysis, pedobarography and gait analysis and the Activities Scale for Kids questionnaire, developed and validated by The Hospital for Sick Children, Toronto, Canada. The average questionnaire score was 83. This suggested a good subjective outcome when compared to the average score of 38 achieved by children with untreated clubfoot. Patients were into 2 groups using this score. Patients scoring over 75 were considered to have a good outcome and those scoring less than 75 were considered to have a bad outcome. The objective results were then compared. We found no difference between the 2 groups using clinical examination and X-ray. Pedobarography showed lower pressures in the bad subjective group, in particular virtually no pressure was generated under the heel when walking. The pressure distribution also showed the bad group to have the pressure balance towards the front of the foot over the 5 th metatarsal head. Gait analysis showed differences. The bad group had increased pelvic obliquity and increased pelvic movement suggesting an inefficient gait, increased hip abduction in swing, hyperextension of the knee on loading and decreased dorsiflexion of the ankle in swing when compared to the good group. Our conclusions were that subjectively this group of patients did well after surgical treatment using an Ilizarov frame. Clinical examination can show significant intra- and inter-observer error and X-ray is unreliable in children whose feet are congenitally deformed. Pedobarography and gait analysis seem to correlate better with subjective outcome. We know that a good foot is a functional foot and it may be that functional assessment is a more appropriate means of assessing results of treatment in these patients.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".