Commentary on: Safety, Pharmacodynamic Response, and Treatment Satisfaction With Onabotulinumtoxin A 40 U, 60 U and 80 U in Subjects With Moderate to Severe Dynamic Glabellar Lines
Bibliographic record
Abstract
See the Original Article here. Joseph et al present a well-thought-out Phase 1b dose-ranging, safety, and efficacy study of the effects of escalating doses of onabotulinumtoxin A (ONA) in reduced injection volume in mostly white female subjects with moderate to severe dynamic glabellar rhytides.1 Subject evaluation was garnered with the Facial Line Satisfaction Questionnaire (FLSQ). Cleverly, the authors performed an open-label study in which 80 U of ONA was administered to a subset of 7 women to inform the decision about whether to include this dose in the larger subsequent double-blind study. The study is very well done, and the results compare remarkably exactly with previous high-dose studies. My only question is the lack of any mention of the recovery time for 2 subjects (1 with brow ptosis and 1 with lid ptosis) because there is an unfounded fear that longer duration of effect also correlates with longer-lasting complications. The clinical interest in higher dosing was sparked by the 6-month longevity of daxibotulinumtoxin A (Revance, Nashville, TN) seen in clinical trials.2 Investigators sought to see if increasing dosage in already approved botulinum neurotoxin A (BoNT-A) products would also confer increased longevity and answer the question about natural vs “overdone” results.
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 | 0.003 | 0.025 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.004 | 0.001 |
| Research integrity | 0.035 | 0.026 |
| Insufficient payload (model declined to judge) | 0.016 | 0.011 |
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".