Risk prediction models for peristomal moisture-associated skin damage in China: a systematic review and meta-analysis - Takeaways - MDSpire

Risk prediction models for peristomal moisture-associated skin damage in China: a systematic review and meta-analysis

  • By

  • Haijia Liu

  • Mengzhen Huang

  • Yuanfan Yang

  • Fen Zhao

  • Huilin Long

  • Bo Huang

  • June 4, 2026

  • 0 min

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  • 1

    Peristomal Moisture-Associated Skin Damage (PMASD) significantly increases healthcare costs and negatively impacts patient outcomes.

  • 2

    The systematic review identified 11 risk prediction models for PMASD, with incidence rates between 22.8% and 59.1%.

  • 3

    All evaluated models exhibited a substantial risk of bias, limiting their clinical applicability despite good performance metrics.

  • 4

    Key predictors of PMASD included history of radiotherapy, type of stoma, stoma opening height, and surgical wound in the plate area.

  • 5

    Future research should focus on large-scale, multicenter studies to enhance the predictive accuracy and clinical utility of PMASD models.

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