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Record W2137233757 · doi:10.1002/lsm.20452

Monopolar radiofrequency treatment of human eyelids: A prospective, multicenter, efficacy trial

2006· article· en· W2137233757 on OpenAlexaff
Brian S. Biesman, Sterling S. Baker, Jean Carruthers, Héctor Leal-Silva, Erin L. Holloman

Bibliographic record

VenueLasers in Surgery and Medicine · 2006
Typearticle
Languageen
FieldMedicine
TopicDermatologic Treatments and Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineMulticenter studyClinical trialProspective cohort studySurgeryRandomized controlled trialInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND/OBJECTIVE: To evaluate the efficacy of a novel 0.25 cm(2) monopolar radiofrequency (RF) treatment tip for aesthetic rejuvenation of the eyelids. STUDY DESIGN/MATERIALS AND METHODS: This was a prospective, multicenter trial in which the eyelids of 72 patients were treated. Patients underwent a single treatment session and were then followed on a serial basis for 6 months. Cutaneous anesthesia was not required to perform the treatments. Assessments were made by the treating physician, the subjects, and by masked physician observers evaluating photographs taken at each data point. RESULTS: Upper eyelid tightening and reduction of hooding was noted in 88 and 86% of subjects, respectively. Lower eyelid tightening was noted in 71-74% of subjects. The majority of patients treated achieved at least up to 25% improvement while a smaller percentage achieved more dramatic results. There was no correlation between the amount of energy applied to the eyelids and the clinical outcome. There were no serious adverse sequelae. CONCLUSION: Human eyelids can be safely treated with monopolar RF energy delivered via a novel 0.25 cm(2) treatment tip. Using this technology non-invasive eyelid rejuvenation was achieved in the majority of subjects treated. The factors differentiating those patients who achieve the most impressive changes from others remain unclear. Further development and testing of this technology is warranted.

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)0.000
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 score0.229
Threshold uncertainty score0.446

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.041
GPT teacher head0.353
Teacher spread0.312 · 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

Citations48
Published2006
Admission routes1
Has abstractyes

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