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Deep Resting Glabellar Rhytides Respond to BTX-A and Hylan B

2003· article· en· W4237184118 on OpenAlexaff
Jean Carruthers, Alastair Carruthers, David Maberley

Bibliographic record

VenueDermatologic Surgery · 2003
Typearticle
Languageen
FieldMedicine
TopicBotulinum Toxin and Related Neurological Disorders
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineDermatologyForeheadWrinkleSurgery

Abstract

fetched live from OpenAlex

BACKGROUND BTX-A is the standard treatment for glabellar furrows. However, some individuals have resting glabellar rhytides that are sufficiently deep that they respond poorly to BTX-A alone. OBJECTIVE To compare the efficacy of BTX-A combined with intradermal Hylan B with the efficacy of BTX-A alone in individuals with moderate to severe glabellar rhytides. METHODS This was a retrospective study of 16 subjects with moderate to severe glabellar rhytides. Their response to Hylan B plus BTX-A was compared clinically and photographically to their response to BTX-A alone. RESULTS All subjects had moderate or severe glabellar rhytides at rest before treatment. After BTX-A alone, none (0%) had achieved no or mild rhytides. After BTX-A and Hylan B injection, only 1 of 16 (6%) had moderate glabellar rhytides, with the remainder (94%) being mild. CONCLUSION Moderate to severe glabellar rhytides were treated better by BTX-A combined with Hylan B injection than by BTX-A alone.

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)0.000
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.298
Threshold uncertainty score0.577

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.028
GPT teacher head0.256
Teacher spread0.228 · 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

Citations12
Published2003
Admission routes1
Has abstractyes

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