Systematic Review and Meta-Analysis of Peristomal Skin Damage Risk Models in China

A systematic review and meta-analysis of 11 risk prediction models for Peristomal Moisture-associated Skin Damage (PMASD), identified from 10 studies. The work was authored by Haijia Liu and last updated on June 4, 2026. It synthesizes model performance metrics, including Area Under the Curve (AUC) values ranging from 0.812 to 0.914, and evaluates predictors like radiotherapy history and stoma type.

Use Cases

• Benchmarking clinical prediction model performance based on reported AUC values.
• Identifying key risk factors for peristomal skin damage based on predictors like radiotherapy history and stoma type.
• Assessing methodological quality and bias in existing medical prediction models using the PROBAST tool.
• Informing the design of future clinical studies for model validation based on the review's conclusions.

Strengths

• Includes a systematic review of 11 prediction models from 10 distinct studies.
• Reports specific performance metrics, including AUC values ranging from 0.812 to 0.914.
• Identifies concrete predictors such as history of radiotherapy and type of stoma.

Limitations

• The underlying data files are a DOC document (80.0 KB), not a structured dataset; column-level documentation is absent.
• All included studies were assessed as having a substantial risk of bias, limiting the utility of the models.
• Row count and structured data format are unknown, which may limit suitability for direct computational analysis.

Provenance

Source

figshare, authored by Haijia Liu.

Collection Method

Systematic literature review and meta-analysis conducted using R4.4.0 software.

Time Range

Literature searched from database inception to January 1, 2026.

Freshness

Last updated 2026-06-04 04:27:28; freshness should be verified.

Geography

Focus on studies relevant to China, based on the review's title and inclusion of Chinese databases.