Comparison of LeniScar Silicone Stick (AnsCare) With Traditional Silicone Gel (Dermatix Ultra) in Wound Scar Prevention and Removal
Bibliographic record
Abstract
BACKGROUND: As we all know, the numbers of aesthetic surgery are increasing around the world. After the surgery, the scar would be a problematic issue for both the surgeons and the patients. Silicone has proven to be effective for keloids, hypertrophic scars, and prevention of scar formation in many literatures for a long time. In terms of scar prevention, silicone has been used in the form of silicone sheets in early times, which is later improved to be the form of silicone gel with the advantage of easier usage. Although silicone gel has improved greatly in the aspect of appearance and convenience of the silicone sheets, there are still some disadvantages of the gel form. Therefore, the LeniScar silicone stick (AnsCare) is invented. OBJECTIVE: This article aimed to compare the results of scar treatment and prevention of the AnsCare LeniScar Silicone Stick versus the traditional silicone gel (Dermatix Ultra). METHODS: This study was a prospective, nonblinded, randomized clinical study. There were a total of 68 patients from September 2018 to January 2020. Patients were divided into 2 groups with AnsCare (n = 43) and Dermatix (n = 25), who both were required to schedule regular outpatient clinic follow-up, and photographs were taken before use, 1, 2, and 3 months later after the usage for the record. The physician assessed the scar condition by the Vancouver Scar Scale (VSS). The scores of the VSS were further analyzed and compared. RESULTS: The overall P value of total score of VSS was 0.635, which indicates that there is no significant difference in using AnsCare LeniScar Silicone Stick versus Dermatix Ultra silicone gel in terms of scar prevention and treatment. Individual items of VSS such as pliability, height, vascularity, and pigmentation all show no significant statistical difference in the 2 treatment products, with P = 0.980, 0.778, 0.528, and 0.366, respectively. CONCLUSION: Traditional Dermatix Ultra silicone gel has been effective in the treatment of scar formation. AnsCare LeniScar Silicone Stick is statistically not different from the Dermatix Ultra silicone gel when comparing the treatment results of scar prevention. Furthermore, the AnsCare LeniScar Silicone Stick has the advantages of being time-saving with no need to wait for it to dry and application of precise amount to precise location, preventing waste or overuse.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".