Instrument-related Skin Disorders in Musicians
Bibliographic record
Abstract
BACKGROUND: Among artists, musicians may suffer from occupational skin problems; notwithstanding, these conditions have been rarely reviewed. The characteristics of individual performer and the type of instrument will determine the kind of disease. Moreover, the hours that the musician spent to advance artistic skill may influence the severity. OBJECTIVE: The frequency and risk factors of instrument-related skin disorders in musicians from southern Italy were analyzed. METHODS: An observational study was conducted in 628 musicians. A questionnaire including questions related to age, sex, instrument played, musical activity, previous or current skin disorders, and impact of skin symptoms on music making was submitted. RESULTS: Of 628 musicians, 199 (31.7%) reported suffering from at least 1 skin disease. Cutaneous diseases likely directly correlated with the use of the musical instrument were found in 129 (20.5%) of the 628 subjects. In particular, different patterns of irritant contact dermatitis were found. CONCLUSIONS: Skin conditions may be a significant problem in professional instrumentalists. They are mainly related to musical activity. Preventive measures should be established.
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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 | 0.001 | 0.001 |
| 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".