Evidence map›Paper›PMID 32093198›Full record

ArticleNutrients2020

Sarcopenia and Liver Cirrhosis-Comparison of the European Working Group on Sarcopenia Criteria 2010 and 2019.

Julia Traub, Ina Bergheim, Martin Eibisberger, Vanessa Stadlbauer

Abstract readEvaluation Study
In one paragraph

Article in Nutrients, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
–field-weighted citation impact
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

21 citing papers in PubMed.

  1. Article
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  3. Observational
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  14. Muscular abnormalities in liver cirrhosis.World journal of gastroenterology · 2021
    Review
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  16. Article
  17. Article
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  20. Review
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

4 authors.

Julia TraubDepartment of Clinical Medical Nutrition, University Hospital Graz, 8036 Graz, Austria.ORCID 0000-0001-6984-9748
Ina BergheimDepartment of Nutritional Sciences, RF Molecular Nutritional Science, University Vienna, 1090 Vienna, Austria.
Martin EibisbergerDepartment of Neuroradiology, Vascular and Interventional Radiology, Medical University of Graz, 8036 Graz, Austria.
Vanessa StadlbauerDepartment of Internal Medicine Division of Gastroenterology und Hepatology Medical University of Graz, Auenbruggerplatz 15, 8036 Graz, Austria.

Funding

Austrian Science Fund KLI 741Austrian Science Fund FWF KLI 741
6 · The paper itself

Abstract

The European Working group on Sarcopenia in Older People recently updated the diagnostic criteria for sarcopenia. It is yet unclear how these modified criteria influence the rate of diagnosis in high risk populations, such as liver cirrhosis. We therefore assessed if the new diagnostic criteria for sarcopenia impacts on sarcopenia prevalence in liver cirrhosis. Within two years 114 cirrhotic patients were prospectively enrolled in the study. Sarcopenia was determined by muscle strength (handgrip strength), muscle mass (lumbal muscle index) and muscle performance (gait speed). Using the 2019 definition, the rate of pre-sarcopenia was significantly lower (30.7% versus 3.5%) due to the different starting points (2010 muscle mass, 2019 muscle strength) and cut-off values (muscle strength). The change in diagnostic criteria for sarcopenia drastically influences the rate of pre-sarcopenia diagnosis in cirrhotics. To evaluate, which diagnostic criteria should be chosen to diagnose sarcopenia in liver cirrhosis patients, prospective studies are needed.

Indexed as

AgedAged, 80 and overEuropeFemaleGaitGeriatric AssessmentHand StrengthHumansLiver CirrhosisMaleMuscle, SkeletalMuscle StrengthPrevalenceProspective StudiesReference ValuesSarcopeniaconsensusliver cirrhosismuscle strengthsarcopenia

Identifiers

PMID32093198
PMCPMC7071440

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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.