The recurrence of Bowen’s disease after topical 5% 5-fluorouracil cream application: A systematic review
Bibliographic record
Abstract
Background: Bowen’s disease (BD) may develop into cutaneous squamous cell carcinoma (CSCC), which can spread to other parts of the body. 5% 5-fluorouracil (5-FU) cream is commonly used for topical therapy on BD; however, the frequency and duration of treatment per cycle have not been standardized. This systematic review aimed to identify the most effective frequency and duration of 5% 5-FU treatment for achieving complete clearance or minimal recurrence. Methods: A literature search was conducted using three electronic databases (PROSPERO ID: CRD42024607488): MEDLINE, Cochrane, and Scopus. The articles were selected based on their relevance to the clinical question. Appraisals were conducted using the Newcastle-Ottawa Scale and the revised Cochrane risk-of-bias tool for randomized trials. Results: Five selected studies with 550 participants were critically reviewed; two were cohort studies and three were randomized trials. Some patients in total studies used more than one therapy cycle. Four of the five studies showed a recurrence rate in 12 months after the end of treatment. In cohort studies, the recurrence rate was 0–8.3% with twice-daily application for 9–16 weeks, whereas in randomized trials, the recurrence rate was 14.3–27.3% with various application frequencies for 4 weeks. Conclusion: The most suitable duration and frequency of 5% 5-FU cream application per cycle to minimize the recurrence rate of BD is twice daily for four weeks per cycle. However, other factors may affect the recurrence rate.
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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 | 0.008 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.009 |
| Bibliometrics | 0.008 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 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".