Cocaine Nose Correction: A Nonsurgical Approach Using a Novel Hyaluronic Acid Filler
Bibliographic record
Abstract
Background: The use of hyaluronic acid (HA) fillers for correcting nasal deformities offers an increasingly popular alternative to surgical rhinoplasty. However, this can sometimes be extremely challenging, for example, in patients with a permanent defect in the nasal septum secondary to chronic drug use. Methods: We report a case in which nonsurgical intervention with a high G' HA filler was used therapeutically to improve the permanent nasal disfigurement of an individual with previous long-term drug use (now in remission). Results: This approach led to high levels of patient satisfaction and empowerment in her personal and professional life. Despite the high risk in this case, only immediate minor complications were recorded, including temporary edema and ecchymoses, and these resolved spontaneously. Conclusions: Nonsurgical treatment using an appropriate HA filler may offer a safe and effective option in selected patients with nasal deformities resulting from pathological conditions.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".