Improvements in Submental Contour up to 3 Years After ATX-101: Efficacy and Safety Follow-Up of the Phase 3 REFINE Trials
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: ATX-101 (deoxycholic acid) significantly reduced submental fat (SMF) severity in two 24-week Phase 3 studies (REFINE-1 and REFINE-2). OBJECTIVES: The aim of this study was to evaluate the durability of effect and long-term safety of ATX-101. METHODS: REFINE study patients who maintained ≥1-grade improvement on the Clinician-Reported SMF Rating Scale (CR-1 responders) 12 weeks after their last REFINE treatment were eligible for enrollment in this multicenter, double-blind, nontreatment, long-term, follow-up study (NCT02163902). The primary endpoint was CR-1 response at Years 1, 2, and 3. Patient-reported satisfaction, psychological impact, and adverse events were monitored. RESULTS: In total, 224 patients (ATX-101, n = 113; placebo, n = 111) were enrolled. Maintenance of CR-1 response was significantly better in the ATX-101 group than in the placebo group at Year 1 (86.4% vs 56.8%; P < 0.001), Year 2 (90.6% vs 73.8%; P = 0.014), and Year 3 (82.4% vs 65.0%; P = 0.03). Most (74%) ATX-101‒treated patients satisfied at 12 weeks remained satisfied at Year 3. Significant reductions from baseline in psychological impact scores were sustained through Year 3 (P < 0.001). No new treatment-related adverse events were reported. CONCLUSIONS: Improvements in submental contour achieved with ATX-101 are maintained for 3 years in most patients. No new safety signals emerged.
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.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.000 | 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