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Use of CO<sub>2</sub>Laser in the Treatment of Periungual Fibromas Associated With Tuberous Sclerosis

2002· article· en· W2139106509 on OpenAlexaff
Alexander L. Berlin, Robin C. Billick

Bibliographic record

VenueDermatologic Surgery · 2002
Typearticle
Languageen
FieldMedicine
TopicTuberous Sclerosis Complex Research
Canadian institutionsJewish General Hospital
Fundersnot available
KeywordsTuberous sclerosisMedicineSurgeryDermatologyLesionLaser treatmentLaserRadiologyOptics

Abstract

fetched live from OpenAlex

BACKGROUND: Tuberous sclerosis complex is an autosomal dominant disorder with variable clinical expression. In severe forms it may involve almost any organ system. Periungual fibromas are a common cutaneous manifestation and a frequent source of cosmetic and functional concern. Current treatment involves surgical excision of the lesions. OBJECTIVE: To evaluate laser vaporization of periungual fibromas and to compare results to the standard surgical treatment. METHODS: A patient with tuberous sclerosis and recurrent periungual fibromas was treated with a continuous wave CO2 laser in sequential focused and defocused modes at 10-15 W. RESULTS: Laser treatment required approximately 10 seconds per lesion and produced no intraoperative bleeding. The wounds healed well with good cosmetic results. CONCLUSION: Though similar to conventional surgery in terms of cosmetic satisfaction, CO2 laser presents a viable alternative to surgery through significantly reduced treatment time and amount of bleeding.

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.170
GPT teacher head0.279
Teacher spread0.109 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designCase report
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

Citations35
Published2002
Admission routes1
Has abstractyes

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