Additional file 9 of A Bayesian network meta analysis: evaluating the efficacy, recurrence

Supplementary material 9 from a Bayesian network meta-analysis evaluating therapies for granulomatous mastitis. The dataset, authored by Pin Wang, contains odds ratios and SUCRA rankings from a network meta-analysis of recurrence rates in high-quality studies. It was last updated on 2026-04-23 and is shared under a CC-BY-4.0 license.

Use Cases

• Compare the relative efficacy of different therapies for granulomatous mastitis based on odds ratios.
• Rank treatment options using SUCRA values derived from the network meta-analysis.
• Validate or incorporate findings into systematic reviews on granulomatous mastitis management.
• Assess the consistency of treatment effects across high-quality studies with a NOS score greater than 7.

Strengths

• Focuses on high-quality studies with a Newcastle-Ottawa Scale (NOS) score > 7, as stated in the description.
• Provides specific statistical outputs (odds ratios and SUCRA rankings) for direct comparison of therapies.
• Dataset is small (14.2 KB), making it quick to download and inspect.

Limitations

• Row count and column definitions are unknown, requiring manual inspection after download to understand the data structure.
• Description metadata is limited; actual data quality and completeness require verification.
• The dataset's scope is limited to a single supplementary table from a larger study.

Provenance

Source

figshare, authored by Pin Wang.

Collection Method

Likely derived from a systematic review and Bayesian network meta-analysis of clinical studies.

Freshness

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