Evidence map›Paper›PMID 35194529›Full record

ArticlePeerJ2022

Sarcopenia is not associated with inspiratory muscle strength but with expiratory muscle strength among older adults requiring long-term care/support.

Yohei Sawaya, Takahiro Shiba, Masahiro Ishizaka, Tamaki Hirose, Ryo Sato, Akira Kubo, Tomohiko Urano

2 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in PeerJ, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.9field-weighted citation impact, top 14% 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.

NCT06398704 completednot on this mapstarted 2024, after this paper: background citation

Investigation of the Effects of Sarcopenia and Dynapenia on Inspiratory Muscle Strength and Cardiorespiratory Fitness in Geriatric Individuals

TypeobservationalSponsorHacettepe UniversityRan2024 to 2024Enrolled75ConditionsGeriatric IndividualsArmsStandart of care
NCT07152015 completednot on this mapstarted 2025, after this paper: background citation

Examination of Sarcopenia and Respiratory Functions in Multiple Sclerosis

TypeobservationalSponsorUskudar UniversityRan2025 to 2025Enrolled40ConditionsMultiple Sclerosis
3 · Its place in the literature

Who cites it

10 citing papers in PubMed, 16 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Yohei Sawaya *Department of Physical Therapy, School of Health Sciences, International University of Health and Welfare, Otawara, Tochigi, Japan.ORCID 0000-0001-5679-2391
Takahiro Shiba *Nishinasuno General Home Care Center, Department of Day Rehabilitation, Care Facility for the Elderly "Maronie-en", Nasushiobara, Tochigi, Japan.
Masahiro IshizakaDepartment of Physical Therapy, School of Health Sciences, International University of Health and Welfare, Otawara, Tochigi, Japan.ORCID 0000-0001-6115-1900
Tamaki HiroseDepartment of Physical Therapy, School of Health Sciences, International University of Health and Welfare, Otawara, Tochigi, Japan.
Ryo SatoNishinasuno General Home Care Center, Department of Day Rehabilitation, Care Facility for the Elderly "Maronie-en", Nasushiobara, Tochigi, Japan.
Akira KuboDepartment of Physical Therapy, School of Health Sciences, International University of Health and Welfare, Otawara, Tochigi, Japan.ORCID 0000-0002-0098-5861
Tomohiko UranoNishinasuno General Home Care Center, Department of Day Rehabilitation, Care Facility for the Elderly "Maronie-en", Nasushiobara, Tochigi, Japan.ORCID 0000-0002-1771-024X
International University of Health and Welfare · JPFuruno (Japan) · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRecently, the concept of respiratory sarcopenia has been advocated, but evidence is lacking regarding which respiratory parameters are appropriate indicators. Therefore, we investigated the association between sarcopenia, respiratory function, and respiratory muscle strength to identify the most appropriate parameters for respiratory sarcopenia.

methodsWe included 124 older adults (67 men, 57 women; average age 77.2 ± 8.3 years) requiring long-term care/support who underwent Day Care for rehabilitation. Handgrip strength, usual gait speed, and skeletal muscle mass were measured using bioelectrical impedance analysis. Participants were then diagnosed with sarcopenia using the algorithm of the Asian Working Group for Sarcopenia 2019. Parameters of respiratory function (forced vital capacity, forced expiratory volume in one second [FEV1.0], FEV1.0%, and peak expiratory flow rate) and respiratory muscle strength (maximal expiratory pressure [MEP] and maximal inspiratory pressure) were also measured according to American Thoracic Society guidelines. Respiratory parameters significantly related to sarcopenia were identified using binomial logistic regression and receiver operating characteristic analyses.

resultsSeventy-seven participants were classified as having sarcopenia. Binomial logistic regression analysis showed that MEP was the only respiratory parameter significantly associated with sarcopenia. The cut-off MEP value for predicting sarcopenia was 47.0 cmH

conclusionsThe most appropriate parameter for assessing respiratory sarcopenia may be MEP, which is an indicator of expiratory muscle strength, rather than FVC, MIP, or PEFR, as suggested in previous studies. Measuring MEP is simpler than measuring respiratory function parameters. Moreover, it is expected to have clinical applications such as respiratory sarcopenia screening.

Indexed as

SarcopeniaAgedAged, 80 and overFemaleHand StrengthHumansLong-Term CareMaleMuscle StrengthRespiratory MusclesElderlyMaximal expiratory pressureRespiratory musclesRespiratory sarcopeniaSpirometry

Identifiers

PMID35194529
PMCPMC8858577
OpenAlexW4212914221

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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.