Evidence map›Paper›PMID 30703350›Full record

ArticleArchives of physical medicine and rehabilitation2019

Sensor Measures of Symmetry Quantify Upper Limb Movement in the Natural Environment Across the Lifespan.

Beth A Smith, Catherine E Lang

Registry-linked trialAbstract read
In one paragraph

Article in Archives of physical medicine and rehabilitation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06509542 (Measuring the Concurrent Validity of the Upper Limb Use Ratio With Accelerometers in an Ecological Situation After Stroke. ValidFUR), which is not on this map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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.

NCT06509542 nacompletednot on this mapstarted 2024, after this paper: background citation

Measuring the Concurrent Validity of the Upper Limb Use Ratio With Accelerometers in an Ecological Situation After Stroke. ValidFUR

TypeinterventionalSponsorUniversity Hospital, MontpellierRan2024 to 2025Enrolled25ConditionsCerebrovascular AccidentArmsObjective assessment of upper limb use during activities in ecological situation
3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

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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

2 authors.

Beth A SmithDivision of Biokinesiology and Physical Therapy, University of Southern California, Los Angeles, CA. Electronic address: beth.smith@usc.edu.
Catherine E LangProgram in Physical Therapy, Washington University School of Medicine, St. Louis, MO.

Funding

Translation of in-clinic Gains to Gains in Daily Life After StrokeR01HD068290 · NICHD · WASHINGTON UNIVERSITY · PI LANG, CATHERINE · 2012 to 2021
$4.0M
Translation of In-Clinic Gains to Gains in Daily LifeR37HD068290 · NICHD · WASHINGTON UNIVERSITY · PI Catherine Lang · 2022 to 2026
$2.7M
NICHD NIH HHS R01 HD068290NICHD NIH HHS R37 HD068290
6 · The paper itself

Abstract

Knowledge of upper limb activity in the natural environment is critical for evaluating the effectiveness of rehabilitation services. Wearable sensors allow efficient collection of these data and have the potential to be less burdensome than self-report measures of activity. Sensors can capture many different variables of activity and daily performance, many of which could be useful in identifying deviation from typical movement behavior or measuring outcomes from rehabilitation interventions. Although it has potential, sensor measurement is just emerging, and there is a lack of consensus regarding which variables of daily performance are valid, sensitive, specific, and useful. We propose that symmetry of full-day upper limb movement is a key variable. We describe here that symmetry is valid, robustly observed within a narrow range across the lifespan in typical development, and shows evidence of being different in populations with neuromotor impairment. Key next steps include the determination of sensitivity, specificity, minimal detectable change, and minimal clinically important change/difference. This information is needed to determine whether an individual belongs to the typical or atypical group, whether change has occurred, and whether that change is beneficial.

Indexed as

MovementWearable Electronic DevicesAccelerometryHumansLongevityReproducibility of ResultsStrokeUpper ExtremityRehabilitationUpper extremity

Identifiers

PMID30703350
PMCPMC6645783

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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.