A Canadian Experience With Off-the-Shelf, Aseptically Processed, Costal Cartilage Segment Allografts in Complex Rhinoplasty
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background: Complex primary and secondary rhinoplasties usually necessitate grafting materials when native nasal cartilage is inadequate for reconstruction. Fresh frozen, aseptically processed, and nonterminally sterilized costal cartilage segment allografts (CCSAs) are a novel grafting material for such cases that avoid donor-site morbidity, improve operating efficiency, and mitigate the postoperative risks. Objectives: To report the early experience using fresh frozen, aseptically processed, and nonterminally sterilized CCSAs used in complex primary and secondary rhinoplasties, in Canada. Methods: We retrospectively reviewed 21 patients (17 female and 4 male patients) who underwent a primary or secondary rhinoplasty surgery using CCSAs from June 2019 to April 2022. Results: ). Of the 21 procedures, 11 were primary (52.4%) and 10 were secondary (47.6%) rhinoplasties. The mean operative time was 185 min (range, 85-330 min), with a mean follow-up time of 15.0 months (range, 2.0-37.8 months). At follow-up, 19 patients (90.5%) reported being "very satisfied" with their aesthetic results, and only 2 (9.5%) underwent revision surgery. No serious complications were reported, and only 1 case showed evidence of graft resorption. Conclusions: Based on early experience, this CCSA avoids donor-site morbidity and reduces operative time while maintaining a low complication rate, providing a viable alternative to the use of autologous costal cartilage when indicated in complex primary or secondary rhinoplasties with inadequate native nasal cartilage.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.001 | 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 it