Iliac Crest Bone Graft Harvest for Alveolar Cleft Repair: A Systematic Review Comparing Minimally Invasive Trephine and Conventional Open Techniques
Bibliographic record
Abstract
Background: In the course of developing a standardized pathway for alveolar cleft repair, we conducted a systematic review comparing minimally invasive trephine with conventional open technique for iliac crest bone graft harvest in a pediatric population. Methods: A systematic review was conducted of studies comparing open with minimally invasive trephine techniques in pediatric populations undergoing alveolar cleft repair. Exclusion criteria included reviews, case series, editorials, abstracts, and those with adult-only populations. Data were compiled with outcome variables selected a priori. Results: Of 422 manuscripts screened, five met criteria. These comprised 257 patients (116 open, 141 trephine). Average age was 11 years. Patients undergoing trephine harvest had reduced length of stay (1.0-5.0 days trephine vs 1.25-5.4 days open), time to unassisted ambulation (16-46 hours vs 20-67 hours open), and less postoperative narcotic use (0.31 mg/kg vs 1.64 mg/kg IV morphine). Volume of cancellous bone was reported as 2.53 mL for open versus 1.22 mL for trephine in one study, and trephine graft was supplemented with demineralized bone in 54% of cases in another study. The use of anesthetic adjuncts was inconsistent but had a significant effect on postoperative pain and ambulation. Conclusions: Compared to open techniques, the minimally invasive trephine bone graft harvest is associated with a shorter time to discharge, slightly lower infection rates, and reduced opioid use. The possible benefits of trephine harvest must however be balanced against the risk of insufficient graft harvest. Finally, the choice of perioperative analgesic adjuncts significantly impacts patient outcomes regardless of the technique employed.
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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 | 0.026 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.007 |
| Bibliometrics | 0.007 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| 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".