Evidence mapPaperPMID 42228697Full record

ArticlePLOS digital health2026

Assessing movement quality in individuals with Duchenne muscular dystrophy utilizing accelerometry: Comparisons with healthy controls.

Nicholas Joy, Thomas J Donnelly, Jonathan Soslow, William Bryan Burnette, Christopher Spurney, Nazia Husain, Katheryn Gambetta, Brian D Soriano, Frank J Raucci, Kan Hor and 6 more

Abstract read
In one paragraph

Article in PLOS digital health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Nicholas JoyDivision of Pediatric Cardiology, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.ORCID https://orcid.org/0009-0005-1400-797X
Thomas J DonnellyUniversity of Tennessee Health Science Center College of Medicine, Memphis, Tennessee, United States of America.
Jonathan SoslowDivision of Pediatric Cardiology, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.
William Bryan BurnetteNemours Children's Health, Jacksonville, Florida, United States of America.
Christopher SpurneyChildren's National Heart Institute, Children's National Hospital, Washington, District of Columbia, United States of America.
Nazia HusainDivision of Cardiology, Department of Pediatrics, Ann & Robert H Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America.
Katheryn GambettaDivision of Cardiology, Department of Pediatrics, Ann & Robert H Lurie Children's Hospital of Chicago, Northwestern University Feinberg School of Medicine, Chicago, Illinois, United States of America.
Brian D SorianoDivision of Cardiology, Department of Pediatrics, Seattle Children's Hospital, University of Washington School of Medicine, Seattle, Washington, United States of America.
Frank J RaucciDivision of Cardiology, Department of Pediatrics, Children's Hospital of Richmond at VCU, Richmond, Virginia, United States of America.
Kan HorDivision of Pediatric Cardiology, Department of Pediatrics, The Ohio State University College of Medicine, Columbus, Ohio, United States of America.
Larry W MarkhamDivision of Pediatric Cardiology, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.
Kimberly CrumDivision of Pediatric Cardiology, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.
Catherine E LangProgram in Physical Therapy, WashU Medicine, St Louis, Missouri, United States of America.ORCID https://orcid.org/0000-0002-7120-0136
Allison E MillerProgram in Physical Therapy, WashU Medicine, St Louis, Missouri, United States of America.
Jaclyn TamaroffDivision of Pediatric Endocrinology and Diabetes, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, United States of America.
DMDCCC Investigators

Funding

The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Modeling Mortality in Duchenne Muscular Dystrophy Cardiomyopathy: Identification of Surrogate Outcome Measures for DMD Drug TrialsR01HL167969 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Craig J. Goergen, Kan N Hor · 2024 to 2026
$2.3M
Development of a Multimodal Biomaker Platform for Predictive Risk Stratification of Cardiac Disease in Duchenne Muscular DystrophyR56HL141248 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI SOSLOW, JONATHAN HARVEY · 2018 to 2018
$769k
FDA HHS R01 FD006649NCATS NIH HHS UL1 TR000445NHLBI NIH HHS R01 HL167969NHLBI NIH HHS R56 HL141248
6 · The paper itself

Abstract

Duchenne muscular dystrophy (DMD) is characterized by progressive decline in skeletal muscle function leading to loss of ambulation and premature cardiopulmonary failure. The ability to monitor declines in skeletal muscle function in a free-living setting would be advantageous. Prior studies have utilized accelerometer measures of movement quantity (e.g., counts per minute, fraction of activity time), but accelerometry research on measures of movement quality in DMD is limited. The aim of the study was to compare quality of movement between a healthy control cohort and individuals with DMD using accelerometry. Accelerometer data were obtained from one study visit for each healthy control (N = 92; ActiGraph Link GT9X, GT3X-BT or a combination) and one to three study visits for each participant with DMD (N = 100; Link GT9X). Measures included counts per minute, entropy, jerk, and movement frequency (mean and standard deviation). Median (IQR) of each measure was reported for each group, including healthy controls and both ambulatory and non-ambulatory DMD participants, and significant differences across each group were compared using Mann-Whitney U tests. Correlations were assessed between accelerometer measures of movement quantity and quality, and predictive change in DMD ambulatory status was assessed using longitudinal regression. Significant differences (P < 0.01) were observed in all measures between healthy controls, ambulatory DMD, and non-ambulatory DMD participants. Most measures were lower in DMD participants, suggesting decreased movement. Movement frequency values were higher in DMD (Healthy Controls 3.19 [3.05-3.45], Ambulatory DMD 3.60 [3.43-3.89], Non-Ambulatory DMD 4.32 [4.04-4.52]), suggesting more disordered movements. Counts per minute correlated strongly with both jerk (r: 0.722, P < 0.05) and mean frequency (r: -0.813, P < 0.05). Matched to age, individuals with DMD produce progressively fewer and more disordered (lower quality) movement compared to healthy individuals. Significantly lower entropy and jerk may be explained by a progressive decline in the strength of movements produced by individuals with DMD.

Identifiers

PMID42228697
PMCPMC13229295

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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 Socratic graph.