PRISMA Checklists for a Brucella Vaccine Efficacy Meta-Analysis

Fifteen studies were included in a meta-analysis comparing the protective efficacy of Brucella abortus S2308-derived gene-deletion mutants with conventional vaccines. The dataset consists of PRISMA checklists, a 24.6 KB DOCX file authored by Jing Yuan and last updated in May 2026. It is shared under a CC-BY-4.0 license on figshare.

Use Cases

• Conducting a systematic review on brucellosis vaccine candidates based on the described meta-analysis methodology.
• Evaluating the impact of different gene deletions on vaccine efficacy based on the functional categories of deleted genes mentioned in the description.
• Assessing sources of heterogeneity in animal model studies based on factors like mouse strain and challenge dose identified in the analysis.

Strengths

• Includes data from fifteen studies, providing a basis for the meta-analysis.
• The analysis applied random-effects models, subgroup analyses, and meta-regression to evaluate protective efficacy.
• Shared under a permissive CC-BY-4.0 license for reuse.

Limitations

• The dataset is a 24.6 KB DOCX file, indicating a very limited scope focused on reporting checklists rather than raw study data.
• Column-level documentation and sample data are unavailable, making field semantics unclear without manual inspection.
• Row count is unknown, which may limit suitability assessment for computational tasks.

Provenance

Source

figshare, author Jing Yuan.

Collection Method

Likely compiled as part of a systematic review and meta-analysis process.

Freshness

Last updated 2026-05-17 11:36:26; freshness should be verified.