Traditional Growth-Friendly Implants Result in Improved Health-Related Quality of Life in Cerebral Palsy Patients with Early-Onset Scoliosis
Bibliographic record
Abstract
Background/Objectives: In an effort to promote personalized medicine, the purpose was to (1) analyze health-related quality of life (HRQoL) in cerebral palsy (CP) patients treated with growth-friendly implants for early-onset scoliosis (EOS), and (2) compare traditional implants (traditional growing rods [TGRs], VEPTR) with magnetically controlled growing rods (MCGRs). Methods: Twenty-four patients with CP and EOS were identified from an international multicenter database. Mean EOSQ-24 domain and total scores and absolute differences from pre-index surgery to the minimum two-year follow-up were compared. Results: For all patients: Pre-index surgery EOSQ-24 total score: 48.9 vs. follow-up: 53.8. Follow-up scores were greater than at pre-op for 10 of the 12 domains, with the only significant difference being activities of daily living. Growth-friendly implants had positive absolute differences for 8 of the 12 domains and in the total score. Nine traditional implant patients had a pre-index surgery EOSQ-24 total of 45.8 points, while 15 MCGRs patients had a score of 50.8 points. At follow-up, traditional implant patients had greater scores than at pre-index surgery for all 12 domains, with total score of 55.1 points, and positive absolute differences for all domains (non-significant). MCGRs had greater scores than at pre-index surgery for six domains, with a total score of 53.1 points (non-significant), and positive absolute differences for seven domains. Traditional implants had a significantly greater absolute difference for emotion than MCGRs (p = 0.030). Conclusions: At the minimum two-year follow-up, CP patients had small, but statistically non-significant, improvements in HRQoL following growth-friendly surgery. Compared to MCGRs, traditional implants provided a modest additional benefit in HRQoL.
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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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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".