Prediction models for sarcopenia in older adults in China: a scoping review - Takeaways - MDSpire

Prediction models for sarcopenia in older adults in China: a scoping review

  • By

  • Kanfei Yao

  • Yihong Xu

  • Jia Xu

  • Xiaojie Zhang

  • Fanglei Gu

  • Lijiangshan Hua

  • Xiuping Li

  • May 28, 2026

  • 0 min

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  • 1

    This review identified 20 articles with 34 sarcopenia prediction models for older adults in China, highlighting their clinical applicability limitations.

  • 2

    The prevalence of sarcopenia in the studies ranged from 12% to 54.17%, with logistic regression and machine learning being the main modeling techniques.

  • 3

    Key predictors in the models included age, BMI, and sex, with the number of predictors ranging from 3 to 8 across different models.

  • 4

    The models demonstrated acceptable discriminative ability, with AUC values between 0.706 and 0.974, but varied in sensitivity and specificity.

  • 5

    Despite the growth of prediction models, issues in variable selection, methodological rigor, and validation limit their real-world clinical use.

Original Source(s)

Prediction models for sarcopenia in older adults in China: a scoping review

  • by Kanfei Yao, Yihong Xu, Jia Xu, Xiaojie Zhang, Fanglei Gu, Lijiangshan Hua, Xiuping Li

  • May 28, 2026

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