Meta-Analysis of Cannabinoid Efficacy for Cancer Pain Adjuvant Therapy

A 107.2 KB dataset contains aggregated results from a systematic review and meta-analysis comparing cannabinoid-based adjuvant therapy to standard treatment for cancer-related pain. The analysis, authored by Paulo Melo, was last updated in April 2026 and is available in XLSX and PDF formats. It synthesizes findings from multiple clinical studies on the efficacy of isolated cannabidiol and THC:CBD 1:1 combinations.

Use Cases

• Compare pain reduction effect sizes between cannabidiol-only and THC:CBD combination arms using meta-analysis summary statistics.
• Analyze heterogeneity metrics (e.g., I-squared) across included studies to assess consistency of cannabinoid efficacy findings.
• Extract risk ratios or odds ratios for adverse events from the aggregated trial data tables.
• Model the relationship between patient sample sizes and reported confidence intervals for pain outcomes.

Strengths

• Data is derived from a systematic review methodology, ensuring a structured aggregation of multiple clinical trials.
• The 107.2 KB size indicates a focused, curated collection of meta-analysis results, not raw patient data.
• Clear licensing under CC-BY-4.0 allows for flexible academic and commercial reuse.

Limitations

• The dataset's small 107.2 KB size reflects a limited scope, containing only summary-level meta-analysis results, not individual patient records.
• As a secondary analysis, it is subject to the biases and methodological limitations of the underlying primary studies it reviews.
• The specific number of included studies (rows) and their temporal range is not provided in the input, limiting assessment of comprehensiveness.

Provenance

Source

Figshare repository, uploaded by author Paulo Melo.

Collection Method

Systematic review and meta-analysis of existing clinical trial literature.

Freshness

The dataset was last updated in April 2026, indicating recent synthesis.