Evidence map›Paper›PMID 30795810›Full record

ArticleJournal of neuroengineering and rehabilitation2019

Actigraph assessment for measuring upper limb activity in unilateral cerebral palsy.

Elena Beani, Martina Maselli, Elisa Sicola, Silvia Perazza, Francesca Cecchi, Paolo Dario, Irene Braito, Roslyn Boyd, Giovanni Cioni, Giuseppina Sgandurra

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Journal of neuroengineering 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 NCT03054441 (Detection of Asymmetries in Upper Limb Use Through Actigraphs), which is not on this map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
2.1field-weighted citation impact, top 14% 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.

NCT03054441 completednot on this map

Detection of Asymmetries in Upper Limb Use Through Actigraphs

Typeobservational_patient_registrySponsorIRCCS Fondazione Stella MarisRan2017 to 2018Enrolled106ConditionsHemiplegia, Hemiplegic Cerebral PalsyArmsActigraph
3 · Its place in the literature

Who cites it

25 citing papers in PubMed, 1 synthesis or guideline pooled it, 53 citations in OpenAlex.

  1. Pooled it
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  7. Wearable sensors in paediatric neurology.Developmental medicine and child neurology · 2025
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  9. Observational
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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

10 authors at 3 institutions in 2 countries.

Elena BeaniDepartment of Developmental Neuroscience, IRCCS Fondazione Stella Maris, Viale del Tirreno 331, 56128 Calambrone, Pisa, Italy.
Martina MaselliThe BioRobotics Institute, Scuola Superiore Sant' Anna, Viale Rinaldo Piaggio 34, 56025 Pontedera, Pisa, Italy.
Elisa SicolaDepartment of Developmental Neuroscience, IRCCS Fondazione Stella Maris, Viale del Tirreno 331, 56128 Calambrone, Pisa, Italy.
Silvia PerazzaDepartment of Developmental Neuroscience, IRCCS Fondazione Stella Maris, Viale del Tirreno 331, 56128 Calambrone, Pisa, Italy.
Francesca CecchiThe BioRobotics Institute, Scuola Superiore Sant' Anna, Viale Rinaldo Piaggio 34, 56025 Pontedera, Pisa, Italy.
Paolo DarioThe BioRobotics Institute, Scuola Superiore Sant' Anna, Viale Rinaldo Piaggio 34, 56025 Pontedera, Pisa, Italy.
Irene BraitoDepartment of Developmental Neuroscience, IRCCS Fondazione Stella Maris, Viale del Tirreno 331, 56128 Calambrone, Pisa, Italy.
Roslyn BoydQueensland Cerebral Palsy and Rehabilitation Research Centre, School of Medicine, The University of Queensland, Brisbane, Australia.
Giovanni CioniDepartment of Developmental Neuroscience, IRCCS Fondazione Stella Maris, Viale del Tirreno 331, 56128 Calambrone, Pisa, Italy.
Giuseppina SgandurraDepartment of Developmental Neuroscience, IRCCS Fondazione Stella Maris, Viale del Tirreno 331, 56128 Calambrone, Pisa, Italy. g.sgandurra@fsm.unipi.it.ORCID 0000-0003-1081-1766
University of Pisa · ITPiaggio (Italy) · ITThe University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDetecting differences in upper limb use in children with unilateral cerebral palsy (UCP) is challenging and highly dependent on examiner experience. The recent introduction of technologies in the clinical environment, and in particular the use of wearable sensors, can provide quantitative measurement to overcome this issue. This study aims to evaluate ActiGraph GT3X+ as a tool for measuring asymmetry in the use of the two upper limbs (ULs) during the assessment with a standardized clinical tool, the Assisting Hand Assessment (AHA) in UCP patients aged 3-25 years compared to age-matched typically developing (TD) subjects.

methodsFifty children with UCP and 50 TD subjects were assessed with AHA while wearing ActiGraphs GT3X+ on both wrists. The mean activity of each hand (dominant and non-dominant, MA

resultsThe MA

conclusionsThese results confirm that actigraphy could provide, in a standardized setting, a quantitative description of differences between upper limbs activity.

trial registrationClincalTrials.gov, NCT03054441 . Registered 15 February 2017.

Indexed as

ActigraphyAdolescentAdultCerebral PalsyChildChild, PreschoolFemaleFunctional LateralityHandHemiplegiaHumansMaleMotor ActivityUpper ExtremityYoung AdultActigraphyArm movementsAssisting hand assessmentCongenital hemiplegiaInformation and communications technology (ICT)

Identifiers

PMID30795810
PMCPMC6387534
OpenAlexW2917864037

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.