Evidence map›Paper›PMID 35061817›Full record

ArticlePloS one2022

Agreement between upper and lower limb measures to identify older adults with low skeletal muscle strength, muscle mass and muscle quality.

Charles Phillipe de Lucena Alves, Marcyo Câmara, Geovani Araújo Dantas Macêdo, Yuri Alberto Freire, Raíssa de Melo Silva, Ronildo Paulo-Pereira, Luiz Fernando Farias-Junior, Ana Paula Trussardi Fayh, Arnaldo Luis Mortatti, Eduardo Caldas Costa

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.2field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. "Muscle quality": rethinking an imprecise term.European geriatric medicine · 2026
    Review
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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

10 authors at 1 institution in 1 country.

Charles Phillipe de Lucena AlvesGraduate Program in Physical Education, Federal University of Rio Grande do Norte, Natal, RN, Brazil.
Marcyo CâmaraGraduate Program in Health Sciences, Federal University of Rio Grande do Norte, Natal, RN, Brazil.ORCID 0000-0003-2381-6507
Geovani Araújo Dantas MacêdoGraduate Program in Physical Education, Federal University of Rio Grande do Norte, Natal, RN, Brazil.
Yuri Alberto FreireGraduate Program in Health Sciences, Federal University of Rio Grande do Norte, Natal, RN, Brazil.
Raíssa de Melo SilvaGraduate Program in Physical Education, Federal University of Rio Grande do Norte, Natal, RN, Brazil.
Ronildo Paulo-PereiraGraduate Program in Health Sciences, Federal University of Rio Grande do Norte, Natal, RN, Brazil.ORCID 0000-0003-2965-8570
Luiz Fernando Farias-JuniorGraduate Programa in Psychobiology, Federal University of Rio Grande do Norte, Natal, RN, Brazil.
Ana Paula Trussardi FayhGraduate Program in Physical Education, Federal University of Rio Grande do Norte, Natal, RN, Brazil.
Arnaldo Luis MortattiGraduate Program in Physical Education, Federal University of Rio Grande do Norte, Natal, RN, Brazil.
Eduardo Caldas CostaGraduate Program in Physical Education, Federal University of Rio Grande do Norte, Natal, RN, Brazil.
Universidade Federal do Rio Grande do Norte · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIdentifying low skeletal muscle strength (SMS), skeletal muscle mass (SMM) and skeletal muscle quality (SMQ) is pivotal for diagnosing sarcopenia cases. Age-related declines in SMS, SMM, and SMQ are dissimilar between the upper (UL) and lower limbs (LL). Despite this, both UL and LL measures have been used to assess SMS, SMM and SMQ in older adults. However, it is not clear whether there is agreement between UL and LL measures to identify older adults with low SMS, SMM and SMQ.

objectiveTo investigate the agreement between UL and LL measures to identify older adults with low SMS, SMM and SMQ.

methodsParticipants (n = 385; 66.1 ± 5.1 years; 75,4% females) performed the handgrip strength test (HGS) and the 30-s chair stand test (CST) to assess UL- and LL-SMS, respectively. The SMM was assessed by dual-energy X-ray absorptiometry (DXA). The UL-SMQ was determined as: handgrip strength (kgf) ÷ arm SMM (kg). LL-SMQ was determined as: 30-s CST performance (repetitions) ÷ leg SMM (kg). Results below the 25th percentile stratified by sex and age group (60-69 and 70-80 years) were used to determine low SMS, SMM and SMQ. Cohen's kappa coefficient (κ) was used for the agreement analyses.

resultsThere was a slight and non-significant agreement between UL and LL measures to identify older adults with low SMS (κ = 0.046; 95% CI 0.093-0.185; p = 0.352). There was a moderate agreement to identify low SMM (κ = 0.473; 95% CI 0.371-0.574; p = 0.001) and a fair agreement to identify low SMQ (κ = 0.206; 95% CI 0.082 to 0.330; p = 0.005).

conclusionThe agreement between UL and LL measures to identify older adults with low SMS, SMM and SMQ is limited, which might generate different clinical interpretations for diagnosing sarcopenia cases.

Indexed as

Muscle StrengthAbsorptiometry, PhotonAgedArmCross-Sectional StudiesFemaleHand StrengthHumansLegMaleMuscle, SkeletalSarcopenia

Identifiers

PMID35061817
PMCPMC8782376
OpenAlexW4206979545

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.