Imiquimod 5% cream in the treatment of anogenital warts in female patients
Bibliographic record
Abstract
OBJECTIVE: To investigate the efficacy and safety of imiquimod 5% cream in the treatment of anogenital warts in a female population. METHODS: In two open-label studies, female patients with anogenital warts applied imiquimod 5% cream three times a week for up to 16 weeks. Patients who cleared their warts were monitored for a 6-month follow-up period. Patients could be re-treated with imiquimod 5% cream for up to an additional 16 weeks if their warts recurred or new warts developed during the follow-up period. The treatment period could also be extended for up to an additional 16 weeks if patients only experienced partial clearance during the initial 16-week treatment period. RESULTS: Of the female patients who applied imiquimod 5% cream, 75% (449/600) experienced complete clearance of their warts (treatment failure analysis). This includes 46 patients who experienced total clearance when they applied imiquimod for longer than 16 weeks as their warts had only partially cleared in the initial 16 weeks of therapy. During the 6 months of follow-up after the initial treatment period, 15% of patients had recurrent warts. Thirty-nine (75%) of those patients experienced total clearance again after they re-applied imiquimod for up to an additional 16 weeks. The most frequently observed local skin reaction was erythema. CONCLUSION: In these studies, imiquimod 5% cream was an effective and well-tolerated treatment for anogenital warts in females and continued to be safe and effective in the small proportion of patients who needed to re-apply imiquimod after wart recurrence.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".