The efficacy of video-assisted thoracoscopic surgery for anterior release and fusion in the management of pediatric spinal deformities.
Bibliographic record
Abstract
PURPOSE: This study examined clinical and radiological outcomes following video-assisted thoracoscopic surgery (VATS) for anterior release and fusion in the correction of pediatric scoliotic deformities. METHODS: We undertook a detailed chart and radiographic review to determine the degree of correction and perioperative morbidity and complications, if any, of a sequential group of patients who underwent VATS between 2000 and 2004 at British Columbia's Children's Hospital. We used patients who underwent open thoracotomy immediately before the adoption of the VATS technique at the same hospital to evaluate the relative efficacy of VATS. RESULTS: There were 19 patients in each group, 17 with idiopathic scoliosis in the VATS group and 16 in the open thoracotomy group. Mean age, weight at surgery and preoperative Cobb angle were similar (p = 1.0, 0.8 and 0.05, respectively). There was no significant difference in operative time per level between the VATS group and the open thoracotomy group (37.2 v. 34.5 min, p = 0.2) or total blood loss (908 v. 823 mL, p = 0.5). There were no major complications encountered in the VATS group. One patient in the open thoracotomy group experienced atelectasis and subsequent lower lobe collapse. CONCLUSIONS: VATS has the potential to decrease postoperative morbidity while still allowing the same degree of correction as traditional open thoracotomies and is a good alternative in the pediatric population.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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".