Evidence map›Paper›PMID 41220565›Full record

ReviewJMA journal2025

Evaluation of Trunk Muscle Mass in Older Adults Using Bioelectrical Impedance Analysis: A Scoping Review.

Ryo Shiraishi, Masatoshi Nakamura, Shunji Araki, Masanobu Yokochi

Abstract readReview
In one paragraph

Review in JMA journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Ryo ShiraishiPREVENT Inc, Higashi, Japan.
Masatoshi NakamuraFaculty of Rehabilitation Sciences, Nishi Kyushu University, Kanzaki, Japan.
Shunji ArakiClinical Education and Research Center, Chuzan Hospital, Okinawa, Japan.
Masanobu YokochiDepartment of Rehabilitation, Takeda General Hospital, Aizuwakamatsu, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Trunk muscle mass decreases with age; this decrease is reported to be related to physical function and activities of daily living. Bioelectrical impedance analysis (BIA) may be used to effectively evaluate trunk muscle mass as an alternative to conventional measurement methods such as computed tomography and magnetic resonance imaging. This scoping review aimed to comprehensively examine existing knowledge on types and frequency of BIA devices and the relationship between trunk muscle mass and clinical outcomes. Methods: We systematically reviewed studies involving older adults aged ≥65 years. We searched PubMed, Web of Science, and Scopus databases; observational studies (cohort, case-control, and cross-sectional) published between January 2000 and October 2023 were reviewed. Three independent reviewers summarized the BIA device model, BIA frequency, study design, study objectives, and outcomes. Results: In total, 7 of 744 identified studies were reviewed. Most participants included in this review were community-dwelling older adults and older patients with stroke. The main research design was a prospective or retrospective cohort study. In addition, a multi-frequency model was used for the BIA device. Common clinical outcome indicators were physical function (swallowing) and activities of daily living. Conclusions: The findings of this review suggest that BIA is an effective method for evaluating trunk muscle mass in older adults. However, the causal relationship between trunk muscle mass and clinical outcomes is unclear, necessitating the accumulation of more data from additional clinical studies.

Indexed as

bioelectrical impedance analysismuscle architecturemuscle compositionmuscle massscoping review

Identifiers

PMID41220565
PMCPMC12598288

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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.