Effectiveness of CAM Therapies in Animal Fatigue Models: A Systematic Review

77 studies evaluating nine complementary and alternative medicine therapies on animal models of chronic fatigue-like conditions. The meta-analysis, conducted by Shumeng Ren, compares effects on fatigue, oxidative stress, inflammation, and endocrine indicators. Results include efficacy rankings, such as electroacupuncture significantly prolonging exhaustive swimming time by 347.00 seconds.

Use Cases

• Rank the efficacy of non-pharmacological therapies based on reported outcome measures like exhaustive swimming time.
• Analyze the impact of interventions on oxidative stress based on reported MDA levels.
• Compare effects on inflammatory markers based on reported IL-1β levels.
• Evaluate endocrine regulation based on reported CRH levels.
• Assess methodological quality and risk of bias across included animal studies.

Strengths

• Includes 77 studies, providing a substantial base for meta-analysis.
• Evaluates nine distinct therapy types, allowing for comparative ranking.
• Uses a standardized risk-of-bias assessment tool (SYRCLE) for quality evaluation.
• Reports specific quantitative results with confidence intervals, such as an MD of 347.00 s for electroacupuncture.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The data is a 1.3 MB document; the underlying tabular data scale is likely small.

Provenance

Source

Shumeng Ren

Collection Method

Systematic review and network meta-analysis of animal experiments from databases including PubMed, Cochrane Library, Embase, Web of Science, CNKI, Wanfang, VIP, and CBMdisc.

Time Range

Studies published from database establishment to January 14, 2026.

Freshness

Last updated 2026-05-07 04:44:37; freshness should be verified.