Efficacy and Safety of RelabotulinumtoxinA Liquid Botulinum Toxin in the Treatment of Lateral Canthal Lines: Results From the Phase 3 READY-2 Study
Bibliographic record
Abstract
BACKGROUND: RelabotulinumtoxinA (RelaBoNT-A) is a complex-free, ready-to-use, liquid botulinum toxin A. OBJECTIVE: Efficacy/safety of RelaBoNT-A treatment for lateral canthal lines (LCL). METHODS: Randomized adults received RelaBoNT-A (30 U/side; n = 230) or placebo ( n = 73) during a 6-month, double-blind, Ph3 study (Relabotulinumtoxin Aesthetic Development Study-2 [READY-2]). Primary end points (Month 1, maximum smile) comprised: composite ≥2-grade responder rate using concurrent LCL severity investigator live assessment (LCL-ILA) and subject live assessment (LCL-SLA); LCL-ILA 0 (none)/1 (mild) responder rate. Subject satisfaction and adverse events were also reported. RESULTS: Month 1 composite ≥2-grade responder rates were 51.8% (RelaBoNT-A) and 1.4% (placebo; ( p < .001). Month 1 none/mild LCL-ILA responder rates were 87.2% (RelaBoNT-A) and 11.9% (placebo; p < .001). Onset was reported Day 1 by 34%. At Month 6, LCL-ILA responder rates for RelaBoNT-A remained at 23.3% (none/mild) and 35.9% (≥1-grade improvement). Median return to baseline severity was 24.7 weeks; 64% (RelaBoNT-A group) had not returned to baseline at Month 6. RelaBoNT-A satisfaction was high through Month 6 (71%). Mild/moderate treatment-related adverse events occurred in 6.1% (RelaBoNT-A) and 5.5% (placebo). CONCLUSION: RelaBoNT-A (60 U) treatment provided statistically significant improvement of moderate-to-severe LCL. One-third of subjects reported onset within 1 day and improvements were maintained through Month 6. Treatment satisfaction was high. RelaBoNT-A was well tolerated.
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 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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".