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A Prospective, Randomized, Parallel Group Study Analyzing the Effect of BTX-A (Botox) and Nonanimal Sourced Hyaluronic Acid (NASHA, Restylane) in Combination Compared with NASHA (Restylane) Alone in Severe Glabellar Rhytides in Adult Female Subjects: Treatment of Severe Glabellar Rhytides with a Hyaluronic Acid Derivative Compared with the Derivative and BTX-A

2003· article· en· W1990470356 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueDermatologic Surgery · 2003
Typearticle
Languageen
FieldMedicine
TopicSurgical Sutures and Adhesives
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineHyaluronic acidWrinkleSurgeryRandomized controlled trial

Abstract

fetched live from OpenAlex

BACKGROUND: Over the past 15 years, BTX-A has become the standard treatment for dynamic glabellar furrowing. 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 nonanimal stabilized hyaluronic acid (NASHA) with the efficacy of NASHA alone in females with moderate to severe glabellar rhytides. METHODS: This was a prospective randomized study of 38 subjects with moderate to severe glabellar rhytides. Half of the subjects were treated with BTX-A and NASHA and the other half with NASHA alone. Their response was assessed clinically and photographically. RESULTS: By comparison with the NASHA-alone group, the BTX-A plus NASHA group showed a better response both at rest and on maximum frown, and this response was maintained for longer. The median time for return to preinjection furrow status occurred at 18 weeks in the NASHA-alone group compared with 32 weeks for the BTX-A plus NASHA group.

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 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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.087
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.011
GPT teacher head0.232
Teacher spread0.221 · 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