ATX-101 (Deoxycholic Acid Injection) Treatment in Men: Insights From Our Clinical Experience
Bibliographic record
Abstract
BACKGROUND: Excess submental fat (SMF), also called a double chin, is an area of concern for men that can be addressed clinically. ATX-101 (deoxycholic acid injection; Kybella in the United States and Belkyra in Canada, Australia, and various European countries) is the first injectable approved for reduction of SMF. OBJECTIVE: To share the authors' clinical experience using ATX-101 in men with submental fullness and offer insights regarding how this treatment may be presented to men as an option to improve their submental profile. METHODS: Retrospective review of the authors' medical records for male patients treated with ATX-101. RESULTS: To allow for fewer ATX-101 treatments, it is recommended that a large surface area be treated at the first session. The positive changes and outcomes achieved with ATX-101 build confidence between the physician and patient, which often leads to male patients seeking other aesthetic treatments to improve their overall appearance. CONCLUSION: ATX-101 treatment is often an effective introduction to aesthetic medicine for men.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".