MétaCan
Menu
Back to cohort

Ice Minimizes Discomfort Associated with Injection of Botulinum Toxin Type A for the Treatment of Palmar and Plantar Hyperhidrosis

2007· article· en· W2017605083 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 · 2007
Typearticle
Languageen
FieldMedicine
TopicSympathectomy and Hyperhidrosis Treatments
Canadian institutionsRegional Municipality of Niagara
Fundersnot available
KeywordsMedicineBotulinum toxinHyperhidrosisSurgeryNerve blockInjection siteBlock (permutation group theory)AnesthesiaBiomedical engineering

Abstract

fetched live from OpenAlex

BACKGROUND: The value of botulinum toxin type A (BTX-A) for treatment of palmar and plantar hyperhidrosis (HH) has been limited by injection pain, which in the past has generally required administration of a nerve block. We describe the successful use of ice applied to the intended injection point followed immediately by application of either ice or vibration to skin adjacent to the injection point to reduce discomfort associated with injection of BTX-A for the treatment of palmar and plantar HH. RESULTS: During needle insertion and injection of BTX-A, both the application of ice to the intended injection point followed by application of ice adjacent to the injection point (ice+ice) and the application of ice to the intended injection point followed by application of vibration adjacent to the injection point have been preferred by our patients to nerve block. These two techniques allow efficient treatment of both hands and/or both feet in a single session. CONCLUSION: By eliminating the need for nerve blocks, the techniques described here will enlarge the pool of physicians who can administer BTX-A for palmar and plantar HH, and will enlarge the pool of patients who are willing to have this treatment.

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)0.000
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 score0.039
Threshold uncertainty score0.330

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 head0.042
GPT teacher head0.276
Teacher spread0.234 · 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