Predicting sarcopenia risk in stroke patients: a comprehensive nomogram incorporating demographic, anthropometric, and biochemical indicators

HIGHLIGHTS

  • What: Due to the fact that removing all samples with missing values will render the research unfeasible, multiple imputation techniques are employed to complete missing values for samples with fewer missing values.
  • Who: Yufan Pu from the Rio de Janeiro State University, Brazil have published the research work: Predicting sarcopenia risk in stroke patients: a comprehensive nomogram incorporating demographic, anthropometric, and biochemical indicators, in the Journal: (JOURNAL)
  • How: To carry out the analysis the authors utilized the skeletal muscle mass index (SMI) a metric endorsed by the Foundation for the National Institutes of . . .

     

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