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Record W4281560834 · doi:10.1097/dss.0000000000003456

PrabotulinumtoxinA for Treatment of Millennials With Moderate to Severe Glabellar Lines: Post Hoc Analyses of the Phase III Clinical Study Data

2022· article· en· W4281560834 on OpenAlexaff
Patricia Ogilvie, Derek Jones, Rui L. Avelar, Anneke Jonker, Rose Monroe, Jean Carruthers

Bibliographic record

VenueDermatologic Surgery · 2022
Typearticle
Languageen
FieldMedicine
TopicBotulinum Toxin and Related Neurological Disorders
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPost hocPost-hoc analysisMedicineAdverse effectPopulationClinical trialClinical endpointSurgeryInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: The use of esthetic products by millennials is increasing, yet published clinical trial data in this population are limited. OBJECTIVE: To compare the efficacy and safety of prabotulinumtoxinA for the treatment of moderate to severe glabellar lines in millennial and nonmillennial patients. METHODS AND MATERIALS: Post hoc analyses were performed on the pooled population of all patients treated with 20U prabotulinumtoxinA in the 3 single-dose Phase III glabellar line clinical studies. Patients were grouped by age: millennials (born 1982-2000) versus nonmillennials (born ≤1981). One key efficacy end point was the proportion of responders with a ≥1-point improvement from baseline at maximum frown on the 4-point Glabellar Line Scale. Adverse events were also summarized. RESULTS: Responder rates among millennials (n = 65) were greater than those of nonmillennials (n = 668) by 7.7% on average across all visits; differences were statistically significant at Day 90. Responder rates at Day 90 were 90.2% and 76.1%, respectively (absolute difference of 14.0%, p = .01). Headache was the most common treatment-related adverse event, occurring in 9.0% and 9.4% of millennials and nonmillennials, respectively. CONCLUSION: A single dose of 20U prabotulinumtoxinA administered for the treatment of glabellar lines was similarly well-tolerated by both millennials and nonmillennials; overall, it was more efficacious in millennials.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.446
Threshold uncertainty score0.554

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.227
GPT teacher head0.430
Teacher spread0.203 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations11
Published2022
Admission routes1
Has abstractyes

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