ArticleAesthetic plastic surgery2026
Comparative Evaluation of Single and Combination Pharmacologic and Device-Based Anti-scar Therapies in a Murine Linear Wound Model.
Article in Aesthetic plastic surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
- Reply to Comment on "Comparative Evaluation of Single and Combination Pharmacologic and Device-Based Anti-scar Therapies in a Murine Linear Wound Model".Aesthetic plastic surgery · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
Abstract
backgroundScarring, a form of tissue fibrosis, is an unavoidable outcome of wound healing and can lead to cosmetic, functional, and psychological burdens. While both surgical and non-surgical treatments are available, non-invasive topical therapies are generally more acceptable to patients and easier to maintain over the long-term. Despite the availability of various anti-scar products targeting inflammation, hydration, and mechanical tension, there is a lack of comparative data on their individual and combined efficacy. Therefore, evidence-based guidance is needed to optimize scar prevention strategies.
methodsFull-thickness linear wounds were established on the dorsal skin of C57BL/6 mice. After re-epithelialization, mice were randomly assigned to receive one of eleven single treatments or one of four combination regimens over a 14-day period. Scar width measurements, histological assessments, and immunohistochemical analyses targeting TGF-β1, α-SMA, and collagen type I and type III were conducted on postoperative day 28.
resultsAll single therapies reduced scar width compared to the control, with Centella asiatica-chitosan and tension reducer groups showing the most notable outcomes. Combination therapies, particularly triple-combination strategies (ointment + silicone-based product + mechanical interventions), achieved superior scar inhibition and more favorable molecular profiles, including reduced TGF-β1, α-SMA, collagen type I expression, and elevated collagen type III levels. These benefits appeared to reflect complementary and possibly synergistic mechanisms across pharmacologic, silicone-based, and mechanical pathways, rather than simple additivity.
conclusionBoth single and combination interventions exhibited measurable anti-scar effects, but triple-combination strategies-especially those integrating biochemical and biomechanical modulation-produced the most significant improvements. These findings support the clinical adoption of mechanism-guided combination therapies for optimized scar prevention and treatment. LEVEL OF EVIDENCE III: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .
Indexed as
Identifiers
41559388What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.