Comparison of Magnetically Controlled Growing Rods with Other Distraction-Based Surgical Technologies for Early-Onset Scoliosis
Bibliographic record
Abstract
BACKGROUND: Severe and progressive early-onset scoliosis (EOS) has a serious prognosis including cardiopulmonary compromise. Growth-friendly technologies are the current surgical standard of care. Magnetically controlled growing rods (MCGRs) are newer implants with the potential for better quality of life and cost savings; however, they have not been well compared with the traditional distraction-based implants. The objective of this study was to compare the surgical outcomes, complications, metal ion levels, quality-of-life outcomes, and cost of MCGRs with other distraction-based surgical technologies for the treatment of EOS. METHODS: The MEDLINE, Embase, and Web of Science databases were searched. Record screening and data abstraction were completed in duplicate. Summary outcomes were calculated in a meta-analysis, if heterogeneity was appropriate, using a fixed-effects model. RESULTS: This systematic review and meta-analysis included 18 studies. MCGRs were as clinically effective as other distraction-based technologies, with no significant difference in the Cobb angle at the latest follow-up (mean difference [MD], 1.20°; 95% confidence interval [CI], -1.80° to 4.20°; p = 0.43) and a significantly lower complication rate (odds ratio, 0.42; 95% CI, 0.25 to 0.71; p = 0.001). Quality of life measured using the EOSQ-24 (24-Item Early-Onset Scoliosis Questionnaire) was better in the MCGR group compared with other technologies (MD, 2.18; 95% CI, 0.40 to 3.95; p = 0.02). Serum titanium levels were 2.98 ng/mL (95% CI, 1.41 to 4.55 ng/mL; p = 0.0002) greater in patients with MCGRs, but the clinical impact is unclear. MCGRs had greater cost for the device and insertion but became cost-neutral or cost-effective compared with other technologies by 4 years postoperatively. CONCLUSIONS: MCGRs are clinically equivalent and cost-effective in the long term compared with other distraction-based technologies for the treatment of EOS. LEVEL OF EVIDENCE: Therapeutic Level III. See Instructions for Authors for a complete description of levels of evidence.
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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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.022 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".