Intralesional Cidofovir in the Treatment of Cutaneous Warts in a Renal Transplant Patient
Bibliographic record
Abstract
Background: Cutaneous warts are often recalcitrant to conventional therapy in immunocompromised patients. Cidofovir is a potent antiviral agent shown to have a broad spectrum of action against DNA virus, including human papillomavirus. Objective: To determine the efficacy of intralesional cidofovir in the treatment of florid warts in an immunocompromised renal transplant patient. Method: The patient received seven injections of intralesional cidofovir at 4 week intervals in his numerous palmar warts. Conclusion: Based on our results, intralesional cidofovir is a promising therapeutic modality in the treatment of cutaneous warts in the renal transplant population. Contexte: Les verrues cutanées se montrent souvent réfractaires au traitement habituel chez les immunodéficients. Le cidofovir est un antiviral puissant, doté d'un large spectre d'action contre les virus à ADN, y compris contre le papillomavirus humain. Objectif: L'étude visait à déterminer l'efficacité du cidofovir intralésionnel dans le traitement de verrues florides chez un patient immunodéprimé, ayant subi une transplantation rénale. Méthode: Le patient a reçu sept injections de cidofovir intralésionnel, à 4 semaines d'intervalle, dans les nombreuses verrues palmaires. Conclusion: D'après les résultats obtenus, le cidofovir intralésionnel serait porteur d'avenir dans le traitement des verrues cutanées chez les patients ayant subi une transplantation rénale.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".