The Shifting Paradigm in the Management of Giant Congenital Melanocytic Nevi
Bibliographic record
Abstract
SUMMARY: Congenital melanocytic nevi remain a subject of controversy with respect to risk of malignant transformation and recommended management. Recent studies indicate a lower malignant risk (0.7 to 2.9 percent) than had previously been estimated. Surgery has not been proven to reduce malignant risk or improve quality of life, and may result in undesirable aesthetic and functional outcomes. In this article, the authors review key controversial issues in the management of congenital melanocytic nevi and re-evaluate indications for surgical treatment. An updated review of controversial topics in the management of congenital melanocytic nevi is presented, and clinical applications are demonstrated through clinical cases. Updates regarding the risks and outcomes of congenital melanocytic nevi patients open a renewed debate with respect to the indications for surgery as well as the extent of surgery that may be suitable. Treatment should be tailored to achieve optimal aesthetic results whereby complete nevus excision is not the goal. As such, nonsurgical management and incomplete nevus excision should be integrated as legitimate parts of any treatment algorithm.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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".