Evidence map›Paper›PMID 33382439›Full record

ArticleJournal of neurology2021

Characterization of gait variability in multiple system atrophy and Parkinson's disease.

Victoria Sidoroff, Cecilia Raccagni, Christine Kaindlstorfer, Sabine Eschlboeck, Alessandra Fanciulli, Roberta Granata, Björn Eskofier, Klaus Seppi, Werner Poewe, Johann Willeit and 9 more

Open access · hybridAbstract read
In one paragraph

Article in Journal of neurology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
1.4field-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.

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

24 citing papers in PubMed, 41 citations in OpenAlex.

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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

19 authors at 3 institutions in 3 countries.

Victoria Sidoroff *Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Cecilia Raccagni *Department of Neurology, Medical University of Innsbruck, Innsbruck, Austria. cecilia.raccagni@sabes.it.ORCID http://orcid.org/0000-0002-6857-2860
Christine KaindlstorferDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Sabine EschlboeckDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Alessandra FanciulliDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Roberta GranataDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Björn EskofierMachine Learning and Data Analytics Lab, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany.
Klaus SeppiDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Werner PoeweDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Johann WilleitDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Stefan KiechlDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Philipp MahlknechtDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Heike StocknerDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Kathrin MariniDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Oliver SchorrDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Gregorio RunggerDepartment of Neurology, Hospital of Bruneck, Bruneck, Italy.
Jochen KluckenDepartment of Molecular Neurology, Universitätsklinikum Erlangen, Friedrich-Alexander University, Erlangen-Nürnberg (FAU), Schwabachanlage 6, 91054, Erlangen, Germany.
Gregor WenningDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Heiko GaßnerDepartment of Molecular Neurology, Universitätsklinikum Erlangen, Friedrich-Alexander University, Erlangen-Nürnberg (FAU), Schwabachanlage 6, 91054, Erlangen, Germany.
Innsbruck Medical University · ATFriedrich-Alexander-Universität Erlangen-Nürnberg · DEKrankenhaus Bruneck · IT

Funding

Tiroler Wirtschaftsförderungsfonds UNI-0404/2245
6 · The paper itself

Abstract

backgroundGait impairment is a pivotal feature of parkinsonian syndromes and increased gait variability is associated with postural instability and a higher risk of falls.

objectivesWe compared gait variability at different walking velocities between and within groups of patients with Parkinson-variant multiple system atrophy, idiopathic Parkinson's disease, and a control group of older adults.

methodsGait metrics were recorded in 11 multiple system atrophy, 12 Parkinson's disease patients, and 18 controls using sensor-based gait analysis. Gait variability was analyzed for stride, swing and stance time, stride length and gait velocity. Values were compared between and within the groups at self-paced comfortable, fast and slow walking speed.

resultsMultiple system atrophy patients displayed higher gait variability except for stride time at all velocities compared with controls, while Parkinson's patients did not. Compared with Parkinson's disease, multiple system atrophy patients displayed higher variability of swing time, stride length and gait velocity at comfortable speed and at slow speed for swing and stance time, stride length and gait velocity (all P < 0.05). Stride time variability was significantly higher in slow compared to comfortable walking in patients with multiple system atrophy (P = 0.014). Variability parameters significantly correlated with the postural instability/gait difficulty subscore in both disease groups. Conversely, significant correlations between variability parameters and MDS-UPDRS III score was observed only for multiple system atrophy patients.

conclusionThis analysis suggests that gait variability parameters reflect the major axial impairment and postural instability displayed by multiple system atrophy patients compared with Parkinson's disease patients and controls.

Indexed as

Gait Disorders, NeurologicMultiple System AtrophyParkinson DiseaseAgedGaitHumansWalkingGait analysisGait variabilityMultiple system atrophyParkinson’s diseaseWearable sensors

Identifiers

PMID33382439
PMCPMC8068710
OpenAlexW3117087292

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.