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Record W2061566108 · doi:10.2310/7750.2007.00012

Treatment of Focal Hyperhidrosis

2007· article· en· W2061566108 on OpenAlexaboutno aff
Christian Murray, Joel L. Cohen, Nowell Solish

Bibliographic record

VenueJournal of Cutaneous Medicine and Surgery · 2007
Typearticle
Languageen
FieldMedicine
TopicSympathectomy and Hyperhidrosis Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineHyperhidrosisBotulinum toxinDermatologyQuality of life (healthcare)PopulationSurgery

Abstract

fetched live from OpenAlex

BACKGROUND: Focal hyperhidrosis is not rare, affecting over 2.5% of the population. This condition is often socially and professionally debilitating, leading to significant quality of life impairment. It most commonly involves the axillae, palms, soles, and face. OBJECTIVE: To review hyperhidrosis and discuss and compare the treatment options currently available. CONCLUSIONS: Topical or systemic therapies may be helpful for patients with mild disease. Invasive surgical options, although often effective, are limited by complications. More recently, botulinum toxin injection has proven to be a safe and successful treatment for hyperhidrosis and results in high patient satisfaction. Botulinum toxin A (Botox, Allergan Inc., Irvine, CA) is currently approved in the United States, Canada, the United Kingdom, and many other countries for the treatment of axillary hyperhidrosis and is routinely used off-label for other anatomic sites.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.042
GPT teacher head0.305
Teacher spread0.263 · 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 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

Citations27
Published2007
Admission routes1
Has abstractyes

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