Pityriasis versicolor: an update on pharmacological treatment options
Bibliographic record
Abstract
INTRODUCTION: Pityriasis versicolor (PV) is a superficial fungal infection caused by Malassezia species; a yeast that naturally colonizes on the skins surface. High efficacy rates are generally obtained with both topical and systemic treatments. However, recurrence rates following successful treatment remain high and there are no dosage guidelines available for administration of systemic antifungal agents that carry risks of adverse events. AREAS COVERED: This review focused on providing an overview of existing treatments for PV and an introduction to new treatments. A literature search was conducted using the search strategy, pityriasis versicolor OR tinea versicolor. Over the past decade, few new treatments have been introduced, but the efficacy and the dosing regimens of existing treatments have been systematically reviewed. The results of these reviews are discussed. EXPERT OPINION: Existing topical and systemic agents are both effective treatments against PV. Previous dosage recommendations for systemic agents have been modified based on recent evidence elucidated in systematic reviews. However, the absence of standardized collection and reporting practices in clinical trials precludes any conclusions to be drawn regarding the efficacy and safety of topical and systemic agents in comparison or in concert with each other.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".