Magnetic Resonance Enterography Prognostic Data for Crohn's Disease

559.2 KB of supporting materials for a systematic review and meta-analysis on predicting long-term Crohn's disease outcomes. The dataset includes a core data extraction sheet, a PRISMA flowchart, and a complete RevMan analysis file. Author Shan Shan Wu published this collection in April 2026.

Use Cases

• Verify reported hazard ratios and odds ratios for MRE findings against adverse outcomes like surgery using the 'Data_Extraction_MRE_CD_Prognosis.xlsx' sheet.
• Replicate the meta-analysis forest plots and heterogeneity assessments by opening the 'RevMan_Analysis_MRE_CD_Prognosis.rm5' project file.
• Analyze study characteristics and patient demographics extracted from the included primary studies for secondary research.
• Examine the PRISMA flowchart to understand the literature search yield and study selection criteria for systematic review methodology.

Strengths

• Dataset provides full reproducibility of the meta-analysis via the included RevMan 5.3 project file.
• All extracted variables from the systematic review are consolidated in a single Excel sheet for transparency.
• Materials are explicitly shared under a permissive CC-BY-4.0 license for reuse.

Limitations

• The 559.2 KB size indicates a dataset summarizing a limited number of primary studies, not a large-scale patient cohort.
• Analysis requires proprietary Review Manager 5.3 software to interact with the core .rm5 analysis file.
• Data represents aggregated study-level findings, not individual patient records, limiting granular analysis.

Provenance

Source

Systematic review and meta-analysis conducted by author Shan Shan Wu, shared on figshare.

Collection Method

Data extracted from primary studies identified via systematic searches of databases like PubMed and Embase.

Time Range

Covers the period of the included primary studies up to the review's search date.

Freshness

Last updated in April 2026, indicating recent synthesis of the available evidence.

Geography

Global, based on the geographic scope of the included studies in the meta-analysis.