ArticleAesthetic plastic surgery2025
Safety and Efficacy Evaluation of Composite Collagen in Human Infraorbital Anti-aging and Nude Mouse Skin Photoaging.
Article in Aesthetic plastic surgery, 2025. 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.
- Operational Standard for Tissue-Extracted Collagen Facial Injection Techniques.Clinical, cosmetic and investigational dermatology · 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
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundCollagen is currently a widely used injectable filler material. Due to the complexity and specificity of the infraorbital structure and function, it undergoes various aging changes earlier in the facial aging process. Additionally, continuous exposure to Ultraviolet (UV) leads to photoaging of the skin. In this study, we utilized type I and type III composite collagen as a filler material for injecting the infraorbital region of the human face and the dorsal region of a nude mouse skin photoaging model to assess its effectiveness and safety.
objectiveTo assess the effectiveness of type I and type III composite collagen in treating age-related changes in the human infraorbital area, as well as in a nude mouse model of skin aging.
methodsA total of 36 patients with infraorbital aging were enrolled to receive type I and type III composite collagen injections. The improvement of infraorbital aging was assessed at pre-injection, immediate post-injection, 1 week, 4 weeks, and 12 weeks. Additionally, nude mice photodamaged models were prepared and collagen injections were administered to treat photodamaged skin. The therapeutic efficacy was assessed by gross view, histological staining, gene expression analysis, and ELISA assay.
resultsType I and Type III composite collagen injection can immediately fill depressed areas. However, one week after the injection, the collagen dehydrates and contracts, causing the material to be absorbed by the tissues and resulting in a slight regression of the filling effect. After one month, some of the collagen has degraded, with most of it degrading after three months. Additionally, in treating photoaging, type I and type III composite collagen has a more pronounced therapeutic effect on photoaging and demonstrates better results in collagen regeneration, inflammation reduction, and melanin control.
conclusionType I and Type III composite collagen demonstrates superior efficacy and safety in addressing infraorbital aging and photoaging in nude mice skin, making it a more favorable choice as an injection material. LEVEL OF EVIDENCE II: 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
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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 OpenQuestion graph.