Evidence map›Paper›PMID 36531513›Full record

ArticleJournal of frailty, sarcopenia and falls2022

Comparison of Habitual and Maximal Gait Speed and their Impact on Sarcopenia Quantification in German Nursing Home Residents.

Daniel Haigis, Silas Wagner, Gorden Sudeck, Annika Frahsa, Ansgar Thiel, Gerhard W Eschweiler, Andreas M Niess

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of frailty, sarcopenia and falls, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 45% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Prevention of Sarcopenia.Advances in experimental medicine and biology · 2025
    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

7 authors at 2 institutions in 2 countries.

Daniel HaigisDepartment of Sports Medicine, University Hospital of Tuebingen, Germany.
Silas WagnerDepartment of Sports Medicine, University Hospital of Tuebingen, Germany.
Gorden SudeckInterfaculty Research Institute for Sport and Physical Activity, University of Tuebingen, Germany.
Annika FrahsaInstitute of Social and Preventive Medicine, University of Bern, Switzerland.
Ansgar ThielInterfaculty Research Institute for Sport and Physical Activity, University of Tuebingen, Germany.
Gerhard W EschweilerCentre for Geriatric Medicine, University Hospital of Tuebingen, Germany.
Andreas M NiessDepartment of Sports Medicine, University Hospital of Tuebingen, Germany.
University of Tübingen · DEInstitute of Social and Preventive Medicine · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Sarcopenia is characterized by loss of muscle strength and muscle mass. The EWGSOP2 specifications include physical functioning determination for quantification of the sarcopenia severity. However, there is a lack in the use of habitual and maximal gait speed and their influence on sarcopenia quantification. We hypothesize differences in sarcopenia quantification using habitual and maximal gait speed. Methods: Sixty-six residents from five nursing homes were examined. Habitual and maximal gait speed were measured by 4-meter-walking-Test. McNemar-Test and χ Results: Significant difference was identified for twenty-two residents in physical functioning classification by McNemar-Test (p<.001). χ Conclusions: The use of habitual and maximal gait speed has a significant impact on sarcopenia quantification in nursing home residents. An adapted standardization in the EWGSOP2 specifications should follow.

Indexed as

EWGSOP2Gait speedNursing homeQuantificationSarcopenia

Identifiers

PMID36531513
PMCPMC9729759
OpenAlexW4310444675

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
Read underepoch 390

Registered trials

None linked

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.