Evidence map›Paper›PMID 36518192›Full record

ArticleFrontiers in neurology2022

Different assessment tools to detect sarcopenia in patients with Parkinson's disease.

Dora Valent, Marina Peball, Florian Krismer, Anna Lanbach, Sophie Zemann, Corinne Horlings, Werner Poewe, Klaus Seppi

Open access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Prevention of Sarcopenia.Advances in experimental medicine and biology · 2025
    Review
  6. Article
  7. Article
  8. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Dora ValentDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Marina PeballDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Florian KrismerDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Anna LanbachDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Sophie ZemannDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Corinne HorlingsDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Werner PoeweDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Klaus SeppiDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Innsbruck Medical University · ATUniversität Innsbruck · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Parkinson's diseaseprevalencesarcopeniascreening toolsensitivityspecificity

Identifiers

PMID36518192
PMCPMC9742236
OpenAlexW4310266358

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.