Solasodine glycoalkaloids: a novel topical therapy for basal cell carcinoma. A double‐blind, randomized, placebo‐controlled, parallel group, multicenter study
Bibliographic record
Abstract
OBJECTIVE: To assess the safety and efficacy of a 0.005% mixture of solasodine glycosides (Zycure) in the treatment of basal cell carcinoma. Design Double-blind, randomized, and vehicle-controlled, parallel group study. SETTING: Ten centers in the United Kingdom. Participants Male, n = 50; female, n = 44; age range, 32-95 years (Table 1). INTERVENTION: Ninety-four patients were randomized on a 2 : 1 ratio (n = 62, Zycure; n = 32, vehicle). Histologically confirmed lesions were treated double blinded, twice daily under occlusion with Zycure or vehicle for 8 weeks. Patients were reviewed fortnightly for adverse effects and overall response. Successfully treated patients were followed up at six-month intervals for a year. MAIN OUTCOME MEASURES: The primary efficacy endpoint was histologically confirmed clearance of the basal cell carcinoma (2-mm punch biopsy) at the end of 8-week treatment. RESULTS: Efficacy (intention-to-treat population) at 8 weeks was 66% (41/62) in the Zycure group, compared to 25% (8/32) in the vehicle group (P < 0.001; Cochran-Mantel-Haenszel test). Ninety percent (37/41) of the Zycure group completed follow-up at six-month intervals for 1 year, of whom 78% (29/37) had no recurrence. There were no major treatment-related adverse effects, although 10 patients in Zycure group did not complete the treatment protocol for various reasons. CONCLUSION: We conclude that the solasodine glycoside cream Zycure is a safe therapy for basal cell carcinoma, with a cure rate of 66% at 8 weeks and 78% at 1 year follow-up.
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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".