Evidence map›Paper›PMID 36545348›Full record

ArticleClinical interventions in aging2022

The Muscle Thickness Assessment Using Ultrasonography is a Useful Alternative to Skeletal Muscle Mass by Bioelectrical Impedance Analysis.

Masaaki Isaka, Ken Sugimoto, Hiroshi Akasaka, Yukiko Yasunobe, Toshimasa Takahashi, Keyu Xie, Yuri Onishi, Shino Yoshida, Tomohiro Minami, Koichi Yamamoto and 2 more

Open access · goldAbstract read
In one paragraph

Article in Clinical interventions in aging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

9 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Poor muscle quality: A hidden and detrimental health condition in obesity.Reviews in endocrine & metabolic disorders · 2025
    Review
  5. Article
  6. Article
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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

12 authors at 3 institutions in 1 country.

Masaaki IsakaDepartment of Geriatric and General Medicine, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.ORCID 0000-0003-0390-3400
Ken SugimotoDepartment of Geriatric and General Medicine, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.ORCID 0000-0001-6516-5998
Hiroshi AkasakaDepartment of Geriatric and General Medicine, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.ORCID 0000-0003-0238-8320
Yukiko YasunobeDepartment of Geriatric and General Medicine, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.
Toshimasa TakahashiDepartment of Geriatric and General Medicine, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.
Keyu XieDepartment of Geriatric and General Medicine, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.
Yuri OnishiDepartment of Geriatric and General Medicine, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.
Shino YoshidaDepartment of Geriatric and General Medicine, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.
Tomohiro MinamiDepartment of Geriatric and General Medicine, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.
Koichi YamamotoDepartment of Geriatric and General Medicine, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.ORCID 0000-0003-0107-9315
Kei KamideDepartment of Geriatric and General Medicine, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.
Hiromi RakugiDepartment of Geriatric and General Medicine, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.ORCID 0000-0001-6508-4338
The University of Osaka · JPKawasaki Medical School · JPOsaka Yukioka Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Muscle mass, a key index for the diagnosis of sarcopenia, is currently assessed using the appendicular skeletal muscle mass index (ASMI) by bioelectrical impedance analysis (BIA). Muscle thickness (MT) assessed by ultrasonography (US) may be a better determinant and/or predictor of muscle condition than ASMI. Thus, we compared it to the ASMI determined by the BIA. Patients and Methods: Our study included 165 ambulatory older adults (84 males, 81 females, mean age: 76.82 years). The ASMI by the BIA method, MT by US, and the distribution of body mass index (BMI) and body fat percentage (BFP) were examined using defined values for men and women. These were used as the basis for examining the association of MT and ASMI with handgrip strength (HGS), leg muscle strength (LMS), gait speed (GS), and echo intensity (EI). We compared HGS, LMS, GS, and EI for high and low ASMI among lower BMI or BFP. The same was also done for MT assessed by US. Results: MT, as well as ASMI, was strongly associated with HGS and LMS. There was a correlation between MT and GS and EI but not between ASMI and GS and EI. There were significant differences in the prevalence between high ASMI and high MT or low ASMI and low MT in those with lower BMI or BFP. In non-overweight participants, HGS, LMS, GS, and EI were significantly higher in those with high MT than in those with low MT; however, there were no significant differences in them between those with high and low ASMI. Conclusion: In the non-overweight group, the MT assessment by US showed a stronger relationship to muscle strength and muscle quality than the ASMI assessment by BIA. The MT assessment using US is a useful alternative to BIA-assessed ASMI, especially in non-overweight participants.

Indexed as

Hand StrengthSarcopeniaAgedElectric ImpedanceFemaleHumansMaleMuscle, SkeletalUltrasonographybody typeecho intensitymuscle strengthmuscle thicknesstibialis anterior muscle

Identifiers

PMID36545348
PMCPMC9762259
OpenAlexW4311796681

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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.