Topical treatment of actinic keratoses with 3·0% diclofenac in 2·5% hyaluronan gel
Bibliographic record
Abstract
BACKGROUND: Actinic keratoses (AKs) are premalignant skin lesions, which, if left untreated, can develop into squamous cell carcinoma. Current treatments for AKs are destructive and are often associated with significant adverse events. The development of an effective and well-tolerated topical treatment for AK is desirable. OBJECTIVES: To evaluate the efficacy and safety of 3.0% diclofenac in 2.5% hyaluronan gel as a treatment for AK. METHODS: This was a multicentre, double-blind, placebo-controlled study in which 195 patients with at least five AKs in up to three designated treatment blocks were randomized to four treatment groups. Patients randomized into the active treatment groups A30 (n = 49) and A60 (n = 48) received topical treatment with 3.0% diclofenac in 2.5% hyaluronan gel 0.5 g twice daily for 30 or 60 days, respectively. Patients in the placebo (vehicle gel) groups V30 (n = 49) and V60 (n = 49) received topical treatment with 2.5% hyaluronan gel 0.5 g twice daily for 30 or 60 days, respectively. Treatment efficacy was assessed by target and cumulative lesion number scores (TLNS and CLNS, respectively) and lesion total thickness score (TTS). Investigator and patient global improvement indices (IGII and PGII) were also used to rate overall improvement. RESULTS: Compared with placebo, significantly more patients given active treatment for 60 days had TLNS = 0 (33% vs. 10%, P < 0.05; an improvement of 64% compared with 34% with placebo), CLNS = 0 (31% vs. 8%, P < 0.05; an improvement of 54% compared with 23% with placebo) and TTS = 0 (25% vs. 6%, P < 0.05; an improvement of 59% compared with 31% with placebo). The IGII and PGII scores were also significantly better when active treatment was compared with placebo (P < 0.05). Both treatments were generally well tolerated and the incidence of the most common adverse events was similar between groups. CONCLUSIONS: Treatment with 3.0% diclofenac in 2.5% hyaluronan gel was effective when used for 60 days and was well tolerated in patients with AK.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| 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".