Evidence map›Paper›PMID 36649288›Full record

ArticlePloS one2023

Usefulness of muscle ultrasound in appendicular skeletal muscle mass estimation for sarcopenia assessment.

Seol-Hee Baek, Joo Hye Sung, Jin-Woo Park, Myeong Hun Son, Jung Hun Lee, Byung-Jo Kim

Registry-linked trialAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07513025 (The Clinical Effectiveness of Progressive Resistance Training With Elastic Band in Postponing and Preventing Sarcopenia Among Older Adults in Rural Long-Term Care Facilities), which is not on this map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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.

NCT07513025 narecruitingnot on this mapstarted 2026, after this paper: background citation

The Clinical Effectiveness of Progressive Resistance Training With Elastic Band in Postponing and Preventing Sarcopenia Among Older Adults in Rural Long-Term Care Facilities

TypeinterventionalSponsorCishan Hospital, Ministry of Health and WelfareRan2026 to 2026Enrolled60ConditionsSarcopenia, Long Term Care FacilityArmselastic band
3 · Its place in the literature

Who cites it

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. Sarcopenia in glioblastoma: the imaging we need and what it tells us.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2024
    Article
  11. Article
  12. 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

6 authors.

Seol-Hee BaekDepartment of Neurology, Korea University Anam Hospital, Seoul, Republic of Korea.ORCID 0000-0002-3656-1833
Joo Hye SungDepartment of Neurology, Korea University Anam Hospital, Seoul, Republic of Korea.
Jin-Woo ParkDepartment of Neurology, Korea University Anam Hospital, Seoul, Republic of Korea.
Myeong Hun SonDepartment of Neurology, Korea University Anam Hospital, Seoul, Republic of Korea.
Jung Hun LeeDepartment of Neurology, Korea University Anam Hospital, Seoul, Republic of Korea.
Byung-Jo KimDepartment of Neurology, Korea University Anam Hospital, Seoul, Republic of Korea.ORCID 0000-0002-0445-7185

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The measurement of skeletal muscle mass is essential for the diagnosis of sarcopenia. Muscle ultrasonography has emerged as a useful tool for evaluating sarcopenia because it can be used to assess muscle quality and quantity. This study investigated whether muscle ultrasonography is effective for estimating appendicular skeletal muscle mass (ASM) and screening for sarcopenia. This study prospectively enrolled 212 healthy volunteers aged 40-80 years. ASM was measured using the bioelectrical impedance analysis. Muscle thickness (MT) and echo-intensity (EI) were measured in four muscles (biceps brachii, BB; triceps brachii, TB; rectus femoris, RF; biceps femoris, BF) on the dominant hand. A hold-out cross-validation method was used to develop and validate the ASM prediction equation. In the model development group, the ASM prediction equations were deduced as follows: estimated ASM for men (kg) = 0.167 × weight (kg) + 0.228 × height (cm) + 0.143 × MT of BF (mm)- 0.822 × EI to MT ratio of BB- 28.187 (R2 = 0.830) and estimated ASM for women (kg) = 0.115 × weight + 0.215 × height (cm) + 0.139 × MT of RF-0.638 × EI to MT ratio of BB- 23.502 (R2 = 0.859). In the cross-validation group, the estimated ASM did not significantly differ from the measured ASM in both men (p = 0.775; intraclass correlation coefficient [ICC] = 0.948) and women (p = 0.516; ICC = 0.973). In addition, multiple logistic regression analysis revealed that the ratios of EI to MT in the BF and RF muscles in men and MT in the BB muscle in women could be valuable parameters for sarcopenia screening. Therefore, our study suggests that muscle ultrasound could be an effective tool for estimating ASM and screening sarcopenia.

Indexed as

SarcopeniaArmFemaleHumansMaleMuscle, SkeletalQuadriceps MuscleUltrasonography

Identifiers

PMID36649288
PMCPMC9844922

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LicenceCC BY
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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.