Systematic Review Data on Plant Antioxidants and Skin Aging in Animal Models

A systematic review dataset compiled from peer-reviewed literature, last updated in May 2026. It aggregates data from studies on D-galactose-induced accelerated aging in animal models, focusing on antioxidant interventions and skin aging parameters. The data was collected by author Ratih Yulianingsih following PRISMA 2020 guidelines.

Use Cases

• Meta-analysis of antioxidant efficacy based on extracted oxidative stress biomarker data.
• Comparative study of skin aging parameters across different animal models and induction methods.
• Identifying research gaps in natural product interventions for skin aging based on the compiled study outcomes.

Strengths

• Follows PRISMA 2020 systematic review guidelines, ensuring a structured methodology.
• Data extracted from three major databases (Scopus, PubMed, ProQuest) using predefined search strategies.
• Quality of included studies was assessed using the CAMARADES tool for animal experiments.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data is derived from a literature review and does not contain new primary experimental results.

Provenance

Source

Peer-reviewed articles from Scopus, PubMed, and ProQuest databases.

Collection Method

Systematic literature review with independent screening, extraction, and quality assessment.

Freshness

Last updated 2026-05-16 08:46:25