Evidence map›Paper›PMID 30548644›Full record

ArticleJournal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine2019

Association Between Muscle Strength and Modeling Estimates of Muscle Tissue Heterogeneity in Young and Old Adults.

Michael O Harris-Love, Tomas I Gonzales, Qi Wei, Catheeja Ismail, Johannah Zabal, Paula Woletz, Loretta DiPietro, Marc R Blackman

Open access · greenAbstract read
In one paragraph

Article in Journal of ultrasound in medicine : official journal of the American Institute of Ultrasound in Medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 32% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
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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

8 authors at 5 institutions in 2 countries.

Michael O Harris-LoveMuscle Morphology, Mechanics, and Performance Laboratory, Human Performance Research Unit, Clinical Research Center, Washington, DC, USA.
Tomas I GonzalesMuscle Morphology, Mechanics, and Performance Laboratory, Human Performance Research Unit, Clinical Research Center, Washington, DC, USA.
Qi WeiDepartment of Bioengineering, Volgenau School of Engineering, George Mason University, Fairfax, Virginia, USA.
Catheeja IsmailMuscle Morphology, Mechanics, and Performance Laboratory, Human Performance Research Unit, Clinical Research Center, Washington, DC, USA.
Johannah ZabalDepartment of Exercise and Nutritional Sciences, Milken Institute School of Public Health.
Paula WoletzMuscle Morphology, Mechanics, and Performance Laboratory, Human Performance Research Unit, Clinical Research Center, Washington, DC, USA.
Loretta DiPietroDepartment of Exercise and Nutritional Sciences, Milken Institute School of Public Health.
Marc R BlackmanResearch Service, Washington, DC, USA.
Morpho (United States) · USMilken Institute · USGeorge Mason University · USResearch Institute of Human Morphology · RUWashington School of Psychiatry · US

Funding

Clinical and Translational Science Institute at Children's NationalUL1TR000075 · NCATS · CHILDREN'S RESEARCH INSTITUTE · PI GUAY-WOODFORD, LISA MARIE · 2012 to 2015
$13.7M
Detection and Treatment of Sarcopenia and Myosteatosis in Older African AmericansIK2RX001854 · VA · VA EASTERN COLORADO HEALTH CARE SYSTEM · PI HARRIS-LOVE, MICHAEL · 2015 to 2020
–
Clinical and Translational Science Awards Program CTSI-CN UL1TR000075Historically Black Colleges and Universities Research Scientist Training Program grant 1IK2RX001854-01National Institutes of Health National CenterNCATS NIH HHS UL1 TR000075Rehabilitation Research and Development ServiceRRD VA IK2 RX001854Veterans Affairs Office of Research and Development
6 · The paper itself

Abstract

objectivesAssessing aging muscle through estimates of muscle heterogeneity may overcome some of the limitations of grayscale analyses. The objectives of this study included determining statistical model parameters that characterize muscle echogenicity and are associated with strength in younger and older participants.

methodsThirty-three community-dwelling participants were assigned to younger and older groups. Quantitative B-mode ultrasound scanning of the rectus femoris and isometric grip strength testing were completed. Shape or dispersion parameters from negative binomial distribution, Nakagami, gamma, and gamma mixture models were fitted to the grayscale histograms.

resultsThe mean ages ± SDs of the younger and older groups were 24.0 ± 2.3 and 65.1 ± 6.5 years, respectively. Statistical model shape and dispersion parameters for the grayscale histograms significantly differed between the younger and older participants (P = .002-.006). Among all of the statistical models considered, the gamma mixture model showed the best fit with the grayscale histograms (χ

conclusionsThe negative binomial dispersion parameter k and the gamma shape parameter α have clinical relevance for the assessment of age-related muscle changes. Statistical models of muscle heterogeneity may characterize the association between muscle tissue composition estimates and strength better than grayscale measures in samples of community-dwelling older adults.

Indexed as

AdultAgedAge FactorsFemaleHand StrengthHumansMaleMuscle StrengthQuadriceps MuscleUltrasonographyagingechogenicitymuscle qualitymusculoskeletal ultrasoundstatistical modeling

Identifiers

PMID30548644
PMCPMC9003580
OpenAlexW2904592770

What OpenQuestion holds

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Registered trials

None linked

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.