Efficacy and Safety of ATX-101 by Treatment Session: Pooled Analysis of Data From the Phase 3 REFINE Trials
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: ATX-101 (deoxycholic acid injection) is the only injectable drug approved for submental fat (SMF) reduction. In the phase 3 REFINE trials, adults with moderate or severe SMF who were dissatisfied with the appearance of their face/chin were eligible to receive up to 6 treatment sessions with ATX-101 (2 mg/cm2) or placebo. Primary and secondary endpoints, evaluated at 12 weeks after last treatment, significantly favored ATX-101 supporting its efficacy for reducing SMF and the psychological impact of SMF, and increasing satisfaction with the appearance of the face/chin. OBJECTIVES: To evaluate the efficacy and safety of ATX-101 by treatment session. METHODS: This post hoc analysis used pooled data from the REFINE trials to evaluate efficacy endpoints and adverse events following each treatment session to further characterize the ATX-101 treatment response and safety profile. RESULTS: In both treatment groups, mean injection volume declined over subsequent treatment sessions, though more markedly in the ATX-101 group. The majority of ATX-101-treated patients achieved a ≥1-grade improvement in SMF within 2 to 4 treatment sessions based on either clinician or patient assessment. Furthermore, 19.1% of ATX-101-treated patients (vs 3.9% of placebo-treated patients) received fewer than 6 treatment sessions owing to patient satisfaction with treatment or lack of sufficient SMF for further treatment. In both treatment groups, the incidence/severity of common injection-site adverse events declined over subsequent treatment sessions. CONCLUSIONS: Although up to 6 treatment sessions were permitted in the REFINE trials, most ATX-101-treated patients achieved an improvement in SMF within 2 to 4 treatment sessions. Level of Evidence: 3.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 it