Tinea versicolor: an updated review
Bibliographic record
Abstract
Background: Tinea versicolor is a common superficial fungal infection of the skin with various clinical manifestations. This review aims to familiarize physicians with the clinical features, diagnosis and management of tinea versicolor. Methods: A search was conducted in July 2022 in PubMed Clinical Queries using the key terms "tinea versicolor" OR "pityriasis versicolor". The search strategy included all clinical trials, observational studies and reviews published within the past 10 years. Results: . The condition is characterized by scaly hypopigmented or hyperpigmented macules/patches, primarily located on the upper trunk, neck and upper arms. The diagnosis is usually based on characteristic clinical features. If necessary, a potassium hydroxide preparation test can be performed to reveal numerous short, stubby hyphae intermixed with clusters of spores. Most patients with tinea versicolor respond to topical antifungal therapy, which has a better safety profile (fewer adverse events, fewer drug interactions) and lower cost compared to systemic treatment and is therefore the treatment of choice. Oral antifungal therapy is typically reserved for patients with extensive disease, frequent recurrences or disease that is refractory to topical therapy. Advantages of oral antifungal therapy include increased patient compliance, shorter duration of treatment, increased convenience, less time involved with therapy and reduced recurrence rates. On the other hand, oral antifungal therapy is associated with higher cost, greater adverse events and potential drug-drug interactions and is therefore not the first-line treatment for tinea versicolor. Long-term intermittent prophylactic therapy should be considered for patients with frequent recurrence of the disease. Conclusion: Selection of antifungal agents depends on several factors, including efficacy, safety, local availability, ease of administration, likelihood of compliance and potential drug interactions of the antifungal agent.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.008 | 0.007 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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.
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".