Evidence map›Paper›PMID 40777814›Full record

ArticleJournal of clinical biochemistry and nutrition2025

Simple method for estimating low muscle mass in persons with bioelectrical impedance analysis measurement difficulties.

Hirohito Sasaki, Osamu Yamamura, Hidenori Onishi, Hiromasa Tsubouchi, Yasutaka Mizukami, Masafumi Kubota, Ryouko Ikeda, Naohiro Konoshita, Tokuharu Tanaka, Takahiro Kishimoto and 3 more

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Article in Journal of clinical biochemistry and nutrition, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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.

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2 · The registry

The trial behind it

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3 · Its place in the literature

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0 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

Hirohito SasakiDepartment of Neurology, Faculty of Medical Sciences, University of Fukui, 23-3 Matsuokashimoaizuki, Eiheiji-cho, Yoshida-gun, Fukui 910-1104, Japan.
Osamu YamamuraDepartment of Community Medicine, Faculty of Medical Sciences, University of Fukui, 23-3 Matsuokashimoaizuki, Eiheiji-cho, Yoshida-gun, Fukui 910-1104, Japan.
Hidenori OnishiDepartment of Community Medicine, Faculty of Medical Sciences, University of Fukui, 23-3 Matsuokashimoaizuki, Eiheiji-cho, Yoshida-gun, Fukui 910-1104, Japan.
Hiromasa TsubouchiDepartment of Community Medicine, Faculty of Medical Sciences, University of Fukui, 23-3 Matsuokashimoaizuki, Eiheiji-cho, Yoshida-gun, Fukui 910-1104, Japan.
Yasutaka MizukamiDepartment of Community Medicine, Faculty of Medical Sciences, University of Fukui, 23-3 Matsuokashimoaizuki, Eiheiji-cho, Yoshida-gun, Fukui 910-1104, Japan.
Masafumi KubotaDepartment of Physical Therapy, Graduate Course of Rehabilitation Science, School of Health Sciences, College of Medical, Pharmaceutical, and Health Sciences, Kanazawa University, 5-11-80 Kodatsuno, Kanazawa City, Ishikawa 920-0942, Japan.
Ryouko IkedaDepartment of Health and Nutrition, Faculty of Human Life Studies, Jin-ai University, 3-1-1 Odecho, Echizen City, Fukui 915-0015, Japan.
Naohiro KonoshitaDepartment of Community Health Science, Faculty of Medical Sciences, University of Fukui, 23-3 Matsuokashimoaizuki, Eiheiji-cho, Yoshida-gun, Fukui 910-1193, Japan.
Tokuharu TanakaDepartment of Family Medicine, University of Fukui Hospital, 23-3 Matsuokashimoaizuki, Eiheiji-cho, Yoshida-gun, Fukui 910-1104, Japan.
Takahiro KishimotoDepartment of Family Medicine, University of Fukui Hospital, 23-3 Matsuokashimoaizuki, Eiheiji-cho, Yoshida-gun, Fukui 910-1104, Japan.
Koji KobayashiDepartment of Medical Laboratory Science, Kitasato University School of Health Sciences, 500 Kurotsuchishinden, Minamiuonuma City, Niigata 949-7241, Japan.
Hiroyuki HayashiDepartment of Family Medicine, University of Fukui Hospital, 23-3 Matsuokashimoaizuki, Eiheiji-cho, Yoshida-gun, Fukui 910-1104, Japan.
Yasuhiro NishiyamaDepartment of Neurology, Faculty of Medical Sciences, University of Fukui, 23-3 Matsuokashimoaizuki, Eiheiji-cho, Yoshida-gun, Fukui 910-1104, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bioelectrical impedance analysis cannot be used to measure muscle mass in some individuals. We aimed to determine cutoff values for low skeletal muscle mass index in sarcopenia diagnosis, based on the fat-free muscle mass index estimated using body fat percentage prediction equations, without relying on bioelectrical impedance analysis. The study included 564 residents from Wakasa, Fukui Prefecture, with a mean age of 76.0 ± 7.1 years. Body composition assessments using bioelectrical impedance analysis were conducted. Three prediction equations for body fat percentage (Ito

Indexed as

bioelectrical impedance analysisbody fat predictionfat-free mass indexsarcopeniaskeletal muscle mass index

Identifiers

PMID40777814
PMCPMC12326252

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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.