Ice Minimizes Discomfort Associated with Injection of Botulinum Toxin Type A for the Treatment of Palmar and Plantar Hyperhidrosis
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".