Evidence map›Paper›PMID 28122039›Full record

ArticlePloS one2017

Feasibility of Using Microsoft Kinect to Assess Upper Limb Movement in Type III Spinal Muscular Atrophy Patients.

Xing Chen, Juliane Siebourg-Polster, Detlef Wolf, Christian Czech, Ulrike Bonati, Dirk Fischer, Omar Khwaja, Martin Strahm

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Observational
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  4. The use of digital tools in rare neurological diseases towards a new care model: a narrative review.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
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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.

Xing ChenData Science, Roche Pharmaceutical Research and Early Development Informatics, Roche Innovation Center Basel, F. Hoffmann-La Roche, Ltd., Basel, Switzerland.ORCID http://orcid.org/0000-0002-0891-3002
Juliane Siebourg-PolsterTranslational Technologies and Bioinformatics, Pharmaceutical Sciences, Roche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche, Ltd., Basel, Switzerland.
Detlef WolfData Science, Roche Pharmaceutical Research and Early Development Informatics, Roche Innovation Center Basel, F. Hoffmann-La Roche, Ltd., Basel, Switzerland.
Christian CzechBiomarker Experimental Medicine, Neuroscience, Roche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche, Ltd., Basel, Switzerland.
Ulrike BonatiDivision of Neuropediatrics, University of Basel Children's Hospital, Basel, Switzerland.
Dirk FischerDivision of Neuropediatrics, University of Basel Children's Hospital, Basel, Switzerland.
Omar KhwajaTranslational Medicine, Neuroscience and Rare Diseases, Roche Pharmaceutical Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche, Ltd., Basel, Switzerland.
Martin StrahmData Science, Roche Pharmaceutical Research and Early Development Informatics, Roche Innovation Center Basel, F. Hoffmann-La Roche, Ltd., Basel, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although functional rating scales are being used increasingly as primary outcome measures in spinal muscular atrophy (SMA), sensitive and objective assessment of early-stage disease progression and drug efficacy remains challenging. We have developed a game based on the Microsoft Kinect sensor, specifically designed to measure active upper limb movement. An explorative study was conducted to determine the feasibility of this new tool in 18 ambulant SMA type III patients and 19 age- and gender-matched healthy controls. Upper limb movement was analysed elaborately through derived features such as elbow flexion and extension angles, arm lifting angle, velocity and acceleration. No significant differences were found in the active range of motion between ambulant SMA type III patients and controls. Hand velocity was found to be different but further validation is necessary. This study presents an important step in the process of designing and handling digital biomarkers as complementary outcome measures for clinical trials.

Indexed as

MovementVideo GamesAdultArmFemaleHumansImage Processing, Computer-AssistedImaging, Three-DimensionalInfrared RaysMaleMiddle AgedPhotographyPilot ProjectsRange of Motion, ArticularSpinal Muscular Atrophies of ChildhoodYoung Adult

Identifiers

PMID28122039
PMCPMC5266257

What OpenQuestion holds

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LicenceCC BY
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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.