The role of antimetabolite medication compared with traditional technique (cryotherapy) for treatment of verrucae
Bibliographic record
Abstract
Background: Human papillomavirus, or HPV, is the cause of warts, which are benign skin and mucosal proliferations that typically affect the hands and feet. Due to innate immunity, warts in immune-competent individuals are benign and typically go away on their own in a matter of months or years. Fluorouracil, also known as 5-fluorouracil or 5-FU, belongs to the class of chemotherapy drugs used to treat various neoplasms. In addition, topical fluorouracil (5%) is Food and Drug Administration-approved for managing dermatologic conditions such as multiple actinic or solar keratoses and superficial basal cell carcinomas in cases where alternative methods are not feasible. The study aims to compare the effectiveness of intralesional injections of 5-fluorouracil (5-FU) and cryotherapy for the treatment of plantar warts. Methods: 60 patients with many plantar warts (more than three warts) were involved in this randomized clinical research. Patients from dermatological clinic were recruited. Results: When treating palmoplantar warts, intralesional injections of 5-fluorouracil were equally effective as cryotherapy. Conclusion: A 5-FU intralesional injection proved to be effective in treating palmoplantar warts. For palmoplantar warts, cryotherapy is also a successful 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) | 0.001 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".