Viral and Nonviral Uses of Imiquimod: A Review
Bibliographic record
Abstract
BACKGROUND: Imiquimod is a topical immunomodulator that is indicated for the treatment of external genital and perianal warts. This drug has been recently approved for the treatment of actinic keratoses and superficial basal cell carcinoma. There is a growing body of evidence for its effectiveness in treating a variety of other skin conditions. OBJECTIVE: This review examines the role of imiquimod 5% cream in the treatment of skin diseases such as actinic keratoses, basal cell carcinoma, Bowen's disease, lentigo maligna, and extramammary Paget's disease. METHODS: Published literature containing the words "Imiquimod" or "Aldara" was reviewed and summarized. RESULTS: This agent has demonstrated indirect antiviral and antitumor effects in animal models. Although the exact mechanism of action is unknown, imiquimod is an agonist for toll-like receptor (TLR) 7 and is thought to act by inducing cytokines, such as interferon alpha (IFN-alpha), interleukin-12 (IL-12), and tumor necrosis factor alpha (TNF-alpha). These cytokines trigger the immune system to recognize the presence of a viral infection or tumor and the associated lesion is ultimately eradicated. Side effects are generally well tolerated with local skin reactions reported most frequently. CONCLUSION: Imiquimod has been shown to be a safe and effective treatment for a variety of skin conditions.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 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) | 0.003 | 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".