Drug safety assessment of oral formulations of ketoconazole
Bibliographic record
Abstract
INTRODUCTION: Ketoconazole was the first broad-spectrum oral antifungal approved by the FDA in 1981. Post-marketing reports of drug-related hepatotoxicity, endocrine dysregulation and drug interactions resulted in market withdrawal of the drug in some countries and strict product relabeling in others. AREAS COVERED: This drug safety review summarizes reports of oral ketoconazole-related adverse events retrieved from a search of the PubMed database using the search strategy 'ketoconazole OR Nizoral AND hepat*', references from relevant publications, and data from the FDA Adverse Event Reporting System. EXPERT OPINION: Although oral ketoconazole is effective in treating fungal infections, the potential for drug interactions, endocrine dysregulation, and hepatotoxicity may outweigh its benefits. Newer oral antifungals have similar or greater efficacy in treating dermatologic conditions and are associated with less risk. Likewise, newer agents with specific targets and fewer drug interactions have been developed to treat systemic fungal infections. Therefore, by the time ketoconazole prescribing guidelines were amended, its use had already largely been replaced with newer antifungals. Being that ketoconazole was the first broad-spectrum oral antifungal, experience with the drug made patient safety, and especially hepatic safety, an important consideration in future antifungal development.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| 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) | 0.006 | 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".