Effectiveness of Topical Conditioned Medium of Stem Cells in Facial Skin Nonsurgical Resurfacing Modalities for Antiaging: Systematic Review and Meta-Analysis of Randomized Controlled Trials.
Ting-Jung LinYa-Li HuangYi-No KangChiehfeng ChenPublished in: Aesthetic plastic surgery (2022)
Facial skin nonsurgical resurfacing modalities, including laser, chemical peeling, and microneedling, have become common due to increasing public concern about skin aging. The potential effect of stem cell conditioned medium (CM) for antiaging has been reported in recent years, and such medium may be able to improve the efficacy of resurfacing modalities. This study investigated the efficacy of topical CM combined with resurfacing in comparison with resurfacing alone. We searched the PubMed, Embase, and Cochrane Library databases for randomized controlled trials (RCTs). We used the Cochrane risk-of-bias tool (version 2) to assess the risk of bias of the included studies and Review Manager (version 5.4) for data analysis. Means and standard deviations of outcomes, namely wrinkle, pigmentation, pore, and overall improvement, were extracted. After screening, we included five RCTs in the analysis, four of which were quantitatively analyzed. The result revealed that stem cell CM significantly reduced wrinkles (P = 0.0006), pigmentation (P = 0.004), and pores (P = 0.01) and improved overall skin condition (P < 0.0001). In summary, we suggest that stem cell CM is a safe treatment that can enhance the efficacy of facial skin nonsurgical resurfacing modalities.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 .
Keyphrases
- stem cells
- soft tissue
- systematic review
- wound healing
- randomized controlled trial
- data analysis
- healthcare
- meta analyses
- single cell
- emergency department
- social media
- adipose tissue
- risk assessment
- climate change
- machine learning
- mesenchymal stem cells
- skeletal muscle
- combination therapy
- atomic force microscopy
- high speed
- double blind