Systematic Review Extraction Matrix with Study Variables

John Alexander Pedraza Palacios published a 43.4 KB Excel file on figshare in May 2026. The dataset contains a matrix for extracting information from included studies in a systematic review or meta-analysis. The description indicates it details variables such as authors, publication year, sample characteristics, methodology, and main results.

Use Cases

• Standardizing data extraction across multiple studies based on the described variables like authors and methodology.
• Conducting meta-analysis based on extracted study characteristics and main results.
• Training research assistants on systematic review protocols using a predefined extraction matrix.
• Comparing methodological approaches across studies based on the extracted methodology details.

Strengths

• File is small (43.4 KB), facilitating quick download and inspection.
• Released under a permissive CC-BY-4.0 license, allowing for broad reuse and adaptation.
• Specifically designed for systematic review data extraction, providing a focused structure.

Limitations

• Row count is unknown, which may limit suitability assessment for large-scale analyses.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is tiny (43.4 KB), indicating a very limited scope, likely covering only a small number of studies or a template.

Provenance

Source

figshare, author John Alexander Pedraza Palacios

Collection Method

Likely manually compiled as part of a research synthesis project.

Time Range

Publication years of the included studies are not specified.

Freshness

Last updated 2026-05 17:43:16; freshness should be verified.

Geography

Geographic scope of the included studies is not specified.