Data Sheet 3_Traditional Chinese Medicine for preventing influenza: a systematic review an

A 2025 systematic review and meta-analysis of 19 clinical studies involving 55,183 healthy participants, published on figshare. The work, authored by Haowen Huang, assesses the effectiveness and safety of Traditional Chinese Medicine (TCM) interventions for preventing influenza and influenza-like illness. It includes data from special populations such as pregnant women, children, and school communities.

Use Cases

• Conducting secondary analysis on the efficacy of herbal medicine for infectious disease prevention based on the aggregated study results.
• Assessing methodological quality and evidence certainty in TCM clinical trials based on the described GRADE assessment framework.
• Comparing intervention outcomes across different healthy population subgroups (e.g., schoolchildren, pregnant women) mentioned in the review.

Strengths

• Includes data from 19 studies with a total of 55,183 participants, providing a substantial evidence base.
• Reports specific statistical results, including risk ratios and confidence intervals for influenza incidence and adverse events.
• Follows a rigorous, peer-reviewed methodology including independent screening, data extraction, and quality assessment.

Limitations

• The primary data file is a 48.8 KB PDF, which is a summary document; underlying trial-level data is not provided in a structured, machine-readable format.
• The authors note the confidence in conclusions is limited by methodological limitations of the included studies and report a very low certainty of evidence.
• Column-level documentation is absent; field semantics must be inferred from the published manuscript after download.

Provenance

Source

figshare

Collection Method

Systematic review and meta-analysis of studies from PubMed, EMbase, CENTRAL, Web of Science, CNKI, WanFang, CQVIP, and Sinomed.

Time Range

Studies included up to August 14, 2025.

Freshness

Last updated 2026-04-23 05:28:28.