ArticleFrontiers in neurology2022
Different assessment tools to detect sarcopenia in patients with Parkinson's disease.
Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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Who cites it
8 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.
- Assessment tools for patients with stroke-related sarcopenia: a scoping review.Frontiers in medicine · 2026Pooled it
- Clinical correlates of physical performance and sarcopenia in Parkinson's disease: a cross-sectional study.Arquivos de neuro-psiquiatria · 2026Article
- Prevalence of sarcopenia and dynapenia among institutionalized older adults in the Lisbon region: associations with sex, nutritional status and body composition.BMC nutrition · 2026Article
- Parkinson's Disease and Frailty: A Two-Way Link Across Aging.Journal of clinical medicine · 2025Review
- Prevention of Sarcopenia.Advances in experimental medicine and biology · 2025Review
- Article
- Evaluating sarcopenia prevalence and SARC-F effectiveness in elderly Spanish women with RA: a comparative study of EWGSOP criteria.Frontiers in medicine · 2024Article
- Temporal Muscle Thickness Correlates with Sarcopenia in Parkinson's Disease.Journal of Parkinson's disease · 2023Article
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Authors and funding
8 authors at 2 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Introduction: Sarcopenia and Parkinson's disease are closely related diseases of the elderly population leading to progressive disability and nursing-dependent care. Objective: The aim of this study was to estimate the prevalence of sarcopenia in PD patients with three different approaches: (1) the screening tool SARC-F, (2) EWGSOP-1 criteria, and (3) EWGSOP-2 criteria. Moreover, we aimed to evaluate the diagnostic accuracy of the screening tool SARC-F to detect sarcopenia according to the updated EWGSOP-2 criteria. Methods: Eighty-one patients with Parkinson's disease aged 65 years and above were interviewed in a cross-sectional study at a tertiary referral center. All patients were screened with the SARC-F questionnaire and were evaluated for motor and non-motor symptoms, exercise, quality of life, and frailty. Muscle mass was assessed with bioelectrical impedance analysis, handgrip strength with a dynamometer, and gait speed was assessed with the 8-m walk test. EWGSOP-2 criteria were considered the gold standard to diagnose sarcopenia in our study. Results: Eighty-one patients were evaluated (mean age: 73.82; SD 5.30). The prevalence of sarcopenia was 28.4% according to the EWGSOP-2 criteria. The concordance between EWGSOP-2 and EWGSOP-1 was poor (weighted kappa of 0.361[95% 0.164-0.557]). The sensitivity of the SARC-F screening test for detecting sarcopenia was 60.9%. The corresponding AUC in the ROC curve analysis showed 0.598 (0.462, 0.734 CI). The item assessing strength was found to have the highest sensitivity (69.6%). Conclusion: Sarcopenia prevalence in patients with PD in Tirol, Austria is higher with EWGSOP-1 criteria compared to EWGSOP-2 criteria. The sensitivity and specificity of the SARC-F scale to detect sarcopenia in this population are poor.
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