Treatment Recommendations for Granulomatous Mastitis from Bayesian Network Meta-Analysis

Supplementary material 11 from a Bayesian network meta-analysis evaluating therapies for granulomatous mastitis. The dataset, authored by Pin Wang and shared under a CC-BY-4.0 license, contains treatment recommendations derived from the meta-analysis and clinical practice guidelines. It was last updated on April 23, 2026, and is available as a 12.0 KB XLSX file.

Use Cases

• Comparing treatment efficacy rankings based on the Bayesian network meta-analysis results.
• Informing clinical practice guidelines for granulomatous mastitis based on synthesized evidence.
• Validating treatment protocols against meta-analytic recommendations.
• Teaching evidence-based medicine concepts using a specific clinical case study.

Strengths

• Data is derived from a formal Bayesian network meta-analysis, a rigorous statistical method.
• The 12.0 KB file size suggests a focused, manageable dataset.
• Clear licensing under CC-BY-4.0 allows for open sharing and reuse.

Limitations

• Row count and column definitions are unknown, requiring manual inspection after download.
• Description metadata is limited; actual data quality and structure require verification.
• The dataset is a supplementary table, so its comprehensiveness is tied to the parent study's scope.

Provenance

Source

figshare, authored by Pin Wang.

Collection Method

Derived as supplementary material from a Bayesian network meta-analysis study.

Freshness

Last updated 2026-04-23 04:41:35; freshness should be verified.