Topical 5-Fluorouracil 0.5% as primary treatment for Ocular Surface Squamous Neoplasia
Bibliographic record
Abstract
PURPOSE: To evaluate the efficacy of topical treatment with 5-Fluorouracil (5-FU) 0.5% in cases of Ocular Surface Squamous Neoplasia (OSSN), and to assess the tolerance of patients undergoing treatment. METHODS: Patients with clinical diagnosis of OSSN referred to the Ocular Oncology division from the Federal University of Sao Paulo, Brazil, were recruited for the current study. Patients were treated with topical 5-FU 0.5% using a regimen of 4 times daily for 10 days, followed by a 3-week drug holiday, continued up to 3 cycles before an alternative treatment. Lesions were evaluated at baseline and throughout treatment. Treatment adherence was assessed using the Morisky Medication Adherence scale. Any adverse events along the treatment were noted. RESULTS: A total of 30 eyes of 30 patients adherent to the treatment were included in the study. Among the total cases treated with 5-FU 0.5%, 24 patients achieved therapeutic success after a mean treatment duration of 21.71 ± 7.77 days, representing a success rate of 80.00% (95% CI: 60.75-91.18%). For each 1 mm2 increase in the lesion area, the odds of treatment success decrease by 6% (OR: 0.94; 95%CI: 0.88-0.99; p = 0.033). Only mild adverse events such as ocular discomfort, ocular burning and tearing were observed along the treatment in 8 patients. CONCLUSIONS: Topical 5-FU 0.5% is an effective therapeutic option in the treatment of OSSN, with an 80% therapeutic success rate, showing good tolerability. The size of the lesion was identified as a factor influencing treatment success, therefore it should be taken into consideration when defining treatment approaches.
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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) | 0.000 | 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) | 0.001 | 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".