Evidence map›Paper›PMID 37019838›Full record

ArticleAmerican journal of medical genetics. Part A2023

Quantitative measures of motor development in Angelman syndrome.

Jessica Duis, Austin Skinner, Robert Carson, Arnaud Gouelle, Melanie Annoussamy, Jill L Silverman, Susan Apkon, Laurent Servais, James Carollo

Open access · greenAbstract read
In one paragraph

Article in American journal of medical genetics. Part A, 2023. 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
2.8field-weighted citation impact, top 9% 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, 9 citations in OpenAlex.

  1. Use of Wearable Sensors in Angelman Syndrome: A Systematic Review.Journal of intellectual disability research : JIDR · 2026
    Pooled it
  2. Wearable sensors in paediatric neurology.Developmental medicine and child neurology · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. Outcome measures in Angelman syndrome.Journal of neurodevelopmental disorders · 2024
    Article
  7. 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

9 authors at 6 institutions in 4 countries.

Jessica DuisCenter for Gait & Movement Analysis (CGMA), Children's Hospital Colorado, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.ORCID 0000-0001-6605-1028
Austin SkinnerCenter for Gait & Movement Analysis (CGMA), Children's Hospital Colorado, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Robert CarsonDepartment of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Arnaud GouelleUniversité de Reims Champagne-Ardenne, PSMS (Performance, Santé, Métrologie, Société), Reims, France.
Melanie AnnoussamySysnav, Vernon, France.
Jill L SilvermanMIND Institute and Department of Psychiatry and Behavioral Sciences, University of California Davis School of Medicine, Sacramento, California, USA.
Susan ApkonDepartment of Physical Medicine & Rehabilitation, Children's Hospital Colorado, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Laurent ServaisDepartment of Paediatrics, Oxford University, Oxford, UK.
James CarolloCenter for Gait & Movement Analysis (CGMA), Children's Hospital Colorado, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA.
Children's Hospital Colorado · USPerformance Santé, Métrologie, Société · FRSysnav (France) · FRUniversity of California, Davis · USUniversity of Liège · BEVanderbilt University Medical Center · US

Funding

Research Project: Pathologic Significance of Maternal AutoantibodiesP50HD103526 · NICHD · UNIVERSITY OF CALIFORNIA AT DAVIS · PI LEONARD J. ABBEDUTO, Melissa Dawn Bauman · 2020 to 2026
$9.7M
NICHD NIH HHS P50 HD103526
6 · The paper itself

Abstract

Angelman Syndrome is a rare neurodevelopmental disorder characterized by developmental delay, lack of speech, seizures, intellectual disability, characteristic behavior, and movement disorders. Clinical gait analysis provides the opportunity for movement quantification to investigate an observed maladaptive change in gait pattern and offers an objective outcome of change. Pressure-sensor-based technology, inertial and activity monitoring, and instrumented gait analysis (IGA) were employed to define motor abnormalities in Angelman syndrome. Temporal-spatial gait parameters of persons with Angelman Syndrome (pwAS) show deficiencies in gait performance through walking speed, step length, step width, and walk ratio. pwAS walk with reduced step lengths, increased step width, and greater variability. Three-dimensional motion kinematics showed increased anterior pelvic tilt, hip flexion, and knee flexion. PwAS have a walk ratio more than two standard deviations below controls. Dynamic electromyography showed prolonged activation of knee extensors, which was associated with a decreased range of motion and the presence of hip flexion contractures. Use of multiple gait tracking modalities revealed that pwAS exhibit a change in gait pattern to a flexed knee gait pattern.  Cross-sectional studies of individuals with AS show a regression toward this maladaptive gait pattern over development in pwAS ages 4-11. PwAS unexpectedly did not have spasticity associated with change in gait pattern. Multiple quantitative measures of motor patterning may offer early biomarkers of gait decline consistent with critical periods of intervention, insight into appropriate management strategies, objective primary outcomes, and early indicators of adverse events.

Indexed as

Angelman SyndromeBiomechanical PhenomenaCross-Sectional StudiesGaitHumansKnee JointWalkingAngelman syndromegaitgeneticsmovement disordersmuscle spasticityneurodevelopmental disabilitiesoutcome measures

Identifiers

PMID37019838
PMCPMC11068498
OpenAlexW4362602816

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.