Evidence map›Paper›PMID 34060717›Full record

ArticleJournal of cachexia, sarcopenia and muscle2021

Age-related alterations in muscle architecture are a signature of sarcopenia: the ultrasound sarcopenia index.

Marco Narici, Jamie McPhee, Maria Conte, Martino V Franchi, Kyle Mitchell, Sara Tagliaferri, Elena Monti, Giuseppe Marcolin, Philip J Atherton, Kenneth Smith and 5 more

Abstract read
In one paragraph

Article in Journal of cachexia, sarcopenia and muscle, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
–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

51 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  6. Muscle fibre denervation in ageing.Clinical science (London, England : 1979) · 2026
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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

15 authors.

Marco NariciDepartment of Biomedical Sciences, University of Padova, Padova, Italy.ORCID 0000-0003-0167-1845
Jamie McPheeDepartment of Sport and Exercise Sciences, Manchester Metropolitan University, Manchester, UK.ORCID 0000-0002-3659-0773
Maria ConteDepartment of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy.ORCID 0000-0002-4621-9898
Martino V FranchiDepartment of Biomedical Sciences, University of Padova, Padova, Italy.ORCID 0000-0003-3165-4536
Kyle MitchellDorsey County Hospital NHS Foundation Trust, Dorchester, UK.
Sara TagliaferriDepartment of Medicine and Surgery, University of Parma, Parma, Italy.ORCID 0000-0002-0468-4863
Elena MontiDepartment of Biomedical Sciences, University of Padova, Padova, Italy.ORCID 0000-0002-3767-0855
Giuseppe MarcolinDepartment of Biomedical Sciences, University of Padova, Padova, Italy.ORCID 0000-0002-2768-3257
Philip J AthertonMRC/Versus Arthritis Centre for Musculoskeletal Ageing Research and National Institute for Health Research Nottingham Biomedical Research Centre, University of Nottingham, Derby, UK.ORCID 0000-0002-7286-046X
Kenneth SmithMRC/Versus Arthritis Centre for Musculoskeletal Ageing Research and National Institute for Health Research Nottingham Biomedical Research Centre, University of Nottingham, Derby, UK.ORCID 0000-0001-8971-6635
Bethan PhillipsMRC/Versus Arthritis Centre for Musculoskeletal Ageing Research and National Institute for Health Research Nottingham Biomedical Research Centre, University of Nottingham, Derby, UK.ORCID 0000-0002-1430-1870
Jonathan LundDepartment of Surgery and University of Nottingham School of Medicine, Royal Derby Hospital, Derby, UK.ORCID 0000-0001-5195-2181
Claudio FranceschiDepartment of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy.ORCID 0000-0001-9841-6386
Marcello MaggioDepartment of Internal Medicine and Biomedical Sciences, Section of Geriatrics, University of Parma, Parma, Italy.ORCID 0000-0002-1727-6797
Gillian S Butler-BrowneCenter for Research in Myology UMRS974, Sorbonne Université, INSERM, Myology Institute, Paris, France.ORCID 0000-0002-3431-242X

Funding

Medical Research Council MR/P021220/1
6 · The paper itself

Abstract

backgroundThe assessment of muscle mass is a key determinant of the diagnosis of sarcopenia. We introduce for the first time an ultrasound imaging method for diagnosing sarcopenia based on changes in muscle geometric proportions.

methodsVastus lateralis muscle fascicle length (Lf) and thickness (Tm) were measured at 35% distal femur length by ultrasonography in a population of 279 individuals classified as moderately active elderly (MAE), sedentary elderly (SE) (n = 109), mobility impaired elderly (MIE) (n = 43), and in adult young controls (YC) (n = 60). The ratio of Lf/Tm was calculated to obtain an ultrasound index of the loss of muscle mass associated with sarcopenia (USI). In a subsample of elderly male individuals (n = 76) in which corresponding DXA measurements were available (MAE, n = 52 and SE, n = 24), DXA-derived skeletal muscle index (SMI, appendicular limb mass/height

resultsFor both young and older participants, USI values were found to be independent of sex, height and body mass. USI values were 3.70 ± 0.52 for YC, 4.50 ± 0.72 for the MAE, 5.05 ± 1.11 for the SE and 6.31 ± 1.38 for the MIE, all significantly different between each other (P < 0.0001). Based on the USI Z-scores, with reference to the YC population, the 219 elderly participants were stratified according to their muscle sarcopenic status. Individuals with USI values within a range of 3.70 < USI ≥ 4.23 were classified as non-sarcopenic (prevalence 23.7%), those with USI values within 4.23 < USI ≥ 4.76 were classified as pre-sarcopenic (prevalence 23.7%), those with USI values within 4.76 < USI ≥ 5.29 were classified as moderately sarcopenic (prevalence 15.1%), those with USI values within range 5.29 < USI ≥ 5.82 were classified as sarcopenic (prevalence 27.9%), and those with USI values >5.82 were classified as severely sarcopenic (prevalence 9.6%). The DXA-derived SMI was found to be significantly correlated with USI (r = 0.61, P < 0.0001). Notably, the USI cut-off value for moderate sarcopenia (4.76 a.u.) was found to coincide with the DXA cut-off value of sarcopenia (7.26 kg/m

conclusionsWe propose a novel, practical, and inexpensive imaging marker of the loss of muscle mass associated with sarcopenia, called the ultrasound sarcopenic index (USI), based on changes in muscle geometric proportions. These changes provide a useful 'signature of sarcopenia' and allow the stratification of individuals according to the presence and severity of muscle sarcopenia. We are convinced that the USI will be a useful clinical tool for confirming the diagnosis of sarcopenia, of which the assessment of muscle mass is a key-component.

Indexed as

SarcopeniaAdultAgedHumansMaleMuscle, SkeletalPrevalenceQuadriceps MuscleUltrasonographyAgeingSarcopeniaSkeletal muscleUltrasound

Identifiers

PMID34060717
PMCPMC8350200

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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.