Diagnostic Cutoff Validation

Diagnostic Cutoff Validation is the methodological process of empirically assessing and confirming the accuracy, reliability, and clinical utility of predefined threshold values used to identify sarcopenia, distinguishing it from other diagnostic procedures by its specific focus on the robustness and generalizability of cutoff points across diverse populations and measurement techniques.

65

Publications

5.9K

Citations

476

Authors

206

Institutions

Publications per year

2017–2026

28

Authors

476

  1. WI
    Won Ihl Rhee

    Catholic University of Korea, South Korea

    2 publications · 73 citations

    2

    h-index

  2. PS
    Pilar Sáinz de Baranda

    Universidad de Murcia, Spain

    2 publications · 46 citations

    2

    h-index

  3. AJ
    Alvin Jones

    Womack Army Medical Center, United States

    2 publications · 108 citations

    2

    h-index

  4. RL
    Rebecca L. Stepien

    University of Wisconsin–Madison, United States

    2 publications · 108 citations

    2

    h-index

  5. TN
    Tomáš Nikolai

    Charles University, Czechia

    2 publications · 81 citations

    2

    h-index

1–5 of 476

Venues

  1. The Journal of Clinical Endocrinology & Metabolism

    JCEM · 4 publications · 344 citations

    4

    h-index

  2. Annals of Rehabilitation Medicine

    2 publications · 73 citations

    2

    h-index

  3. Journal of Veterinary Internal Medicine

    JVIM · 2 publications · 108 citations

    2

    h-index

  4. The Clinical Neuropsychologist

    TCN · 2 publications · 108 citations

    2

    h-index

  5. Clinical Nutrition

    2 publications · 487 citations

    2

    h-index

1–5