Revisiting Gavello's procedure for single-stage reconstruction of the earlobe: The vascular basis, technique and clinical uses
Bibliographic record
Abstract
Background Deformities or loss of the earlobe may be congenital, or acquired due to trauma, bites, burns or tumour excision. A variety of single-stage and two-stage procedures have been described for earlobe reconstruction, of which Gavello's procedure was one of the earliest. Objective To revisit Gavello's procedure with reference to the vascular supply of the flap, and discuss the relevance of the technique in current practice. Methods The authors discuss the vascular basis of Gavello's flap, and describe the clinical application of the single-stage Gavello's procedure in diverse clinical situations, including congenital absence of earlobe, post-burn earlobe deformity and traumatic amputation of the earlobe. Results Excellent cosmetic results have been achieved in all different clinical situations in the authors' experience, with preservation of earlobe shape and volume, good colour match and a well-concealed scar in the donor area. Discussion Gavello's procedure is a simple, one-stage procedure that relies entirely on local tissue for earlobe reconstruction; the flap has a predictable vascular supply, skin grafting is not required and the procedure can be used for large defects. An intact donor area over the postauricular mastoid region is a prerequisite. Conclusion The simple, century-old Gavello's procedure is still of great value for reconstruction of earlobe defects of diverse etiology.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".