Minimally Invasive Surgery for Pediatric Trauma—A Multicenter Review
Bibliographic record
Abstract
INTRODUCTION: The published experience with minimally invasive techniques to treat injured children is currently small. In this multicenter case series, we aimed to characterize the contemporary role of minimally invasive surgery (MIS) in pediatric trauma. MATERIALS AND METHODS: After obtaining Institutional Review Board approval at six pediatric regional trauma centers in the United States, a retrospective review was conducted on children who have undergone thoracoscopy or laparoscopy for the management of trauma over the past 13 years. RESULTS: There were 200 patients with a mean age of 9.6 ± 4.2 years, and 73% were male. Laparoscopy was performed for 187 (94%) and thoracoscopy for 8 (4%), whereas 5 (2%) patients had both, for a total of 205 MIS procedures. Conversion to open surgery occurred in 36% (n=73). Median operative time was 77 (range, 16-369) minutes. Of the 132 procedures completed without conversion, 81 (61%) were diagnostic, whereas the remaining were therapeutic, including the repair of bowel injuries (n=20), distal pancreatectomy (n=5), splenectomy (n=2), repair of traumatic abdominal wall hernias (n=2), evacuation of hemothorax (n=3), and other thoracoscopic or laparoscopic interventions (n=19). Procedures that required conversion were most commonly for bowel injury (n=56). Patients with peritonitis were most likely to require conversion to an open procedure (77.4%). Mean time to a regular diet was 4.2 ± 8.6 days, and mean hospital stay was 6.3 ± 6.5 days. Postoperative complications occurred in 19 patients, long-term sequelae in 10 patients, and permanent disability in 2 patients. There were no deaths or missed injuries. CONCLUSIONS: In the stable pediatric trauma patient, laparoscopy and thoracoscopy can be performed safely and effectively for both diagnostic and therapeutic purposes.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.008 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".