Evidence map›Paper›PMID 40640321›Full record

ArticleScientific reports2025

Usefulness of a newly developed ultrasonic system to estimate skeletal muscle mass and muscle strength in community-dwelling older adults.

Masaaki Onishi, Tomoya Iseki, Shotaro Tsuji, Kensaku Shojima, Hiromitsu Yamazaki, Yasuyuki Nagasawa, Kayoko Tamaki, Takara Mori, Yosuke Wada, Hiroshi Kusunoki and 5 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Observational
  2. Article
  3. 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

15 authors.

Masaaki OnishiDepartment of Orthopaedic Surgery, Hyogo Medical University School of Medicine, Nishinomiya, Japan.
Tomoya IsekiDepartment of Orthopaedic Surgery, Hyogo Medical University School of Medicine, Nishinomiya, Japan.
Shotaro TsujiDepartment of Orthopaedic Surgery, Hyogo Medical University School of Medicine, Nishinomiya, Japan.
Kensaku ShojimaDepartment of General Internal Medicine, Hyogo Medical University School of Medicine, 1-1 Mukogawa-Cho, Nishinomiya, Hyogo, 663-8501, Japan.
Hiromitsu YamazakiDepartment of General Internal Medicine, Hyogo Medical University School of Medicine, 1-1 Mukogawa-Cho, Nishinomiya, Hyogo, 663-8501, Japan.
Yasuyuki NagasawaDepartment of General Internal Medicine, Hyogo Medical University School of Medicine, 1-1 Mukogawa-Cho, Nishinomiya, Hyogo, 663-8501, Japan.
Kayoko TamakiDepartment of General Internal Medicine, Hyogo Medical University School of Medicine, 1-1 Mukogawa-Cho, Nishinomiya, Hyogo, 663-8501, Japan.
Takara MoriDepartment of General Internal Medicine, Hyogo Medical University School of Medicine, 1-1 Mukogawa-Cho, Nishinomiya, Hyogo, 663-8501, Japan.
Yosuke WadaDepartment of General Internal Medicine, Hyogo Medical University School of Medicine, 1-1 Mukogawa-Cho, Nishinomiya, Hyogo, 663-8501, Japan.
Hiroshi KusunokiDepartment of General Internal Medicine, Hyogo Medical University School of Medicine, 1-1 Mukogawa-Cho, Nishinomiya, Hyogo, 663-8501, Japan.
Masako ShiramizuDepartment of Dental Hygiene, Kyoto Koka Women's College, Kyoto, Japan.
Ryota MatsuzawaDepartment of Physical Therapy, School of Rehabilitation, Hyogo Medical University, Kobe, Japan.
Koutatsu NagaiDepartment of Physical Therapy, School of Rehabilitation, Hyogo Medical University, Kobe, Japan.
Toshiya TachibanaDepartment of Orthopaedic Surgery, Hyogo Medical University School of Medicine, Nishinomiya, Japan.
Ken ShinmuraDepartment of General Internal Medicine, Hyogo Medical University School of Medicine, 1-1 Mukogawa-Cho, Nishinomiya, Hyogo, 663-8501, Japan. ke-shimmura@hyo-med.ac.jp.

Funding

Hyogo Medical University Grant-in-Aid for Graduate Students 062024Japan Society for the Promotion of Science 22K19496Ministry of Health, Labour and Welfare 24FA1005National Center for Geriatrics and Gerontology Choujyu 20-1, 21-18
6 · The paper itself

Abstract

Measuring skeletal muscle mass index using bioelectrical impedance analysis or dual-energy X-ray absorptiometry is challenging for home care patients and those with implanted devices. Contrastingly, ultrasound measurement of skeletal muscle mass is a simple and non-invasive method. We aimed to investigate quadriceps muscle cross-sectional area measured using a newly developed ultrasonic muscle imaging system to serve as a diagnostic tool for sarcopenia. The cross-sectional study including 510 independent adults aged 65 years and older (180 men; median age, 75 years) was performed between October 2021 and December 2022. Quadriceps muscle cross-sectional area of the dominant leg was measured, and the average value was analyzed for correlation with body composition indices measured using the bioelectrical impedance analysis method, muscle strength and physical performance tests. Quadriceps muscle cross-sectional area showed a good correlation with skeletal muscle mass index (R = 0.78, P < 0.001), handgrip strength (R = 0.70, P < 0.001), and knee extension strength (R = 0.68, P < 0.001). This study demonstrated that quadriceps muscle cross-sectional area using a newly developed ultrasonic system shows a strong correlation with skeletal muscle mass index and muscle strength. These findings suggest that this system could be an alternative to bioelectrical impedance analysis for the diagnosis of sarcopenia.

Indexed as

Muscle, SkeletalMuscle StrengthQuadriceps MuscleSarcopeniaAbsorptiometry, PhotonAgedAged, 80 and overBody CompositionCross-Sectional StudiesElectric ImpedanceFemaleHand StrengthHumansIndependent LivingMaleUltrasonographyFrailtyOlder adultsQuadriceps muscleSarcopeniaSkeletal muscle mass indexUltrasound

Identifiers

PMID40640321
PMCPMC12246437

What OpenQuestion holds

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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.