Evidence map›Paper›PMID 29733529›Full record

ArticleBrain and behavior2018

Sensor-based gait analysis in atypical parkinsonian disorders.

Cecilia Raccagni, Heiko Gaßner, Sabine Eschlboeck, Sylvia Boesch, Florian Krismer, Klaus Seppi, Werner Poewe, Bjoern M Eskofier, Juergen Winkler, Gregor Wenning and 1 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Brain and behavior, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04753320 (Remote Monitoring in Progressive Supranuclear Palsy, an Alzheimer's Disease Related Dementia), which is not on this map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
5.3field-weighted citation impact, top 4% 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.

NCT04753320 not yet recruitingnot on this mapstarted 2026, after this paper: background citation

Remote Monitoring in Progressive Supranuclear Palsy, an Alzheimer's Disease Related Dementia

TypeobservationalSponsorMassachusetts General HospitalRan2026 to 2028Enrolled85ConditionsProgressive Supranuclear Palsy, Parkinson Disease, MSA - Multiple System Atrophy
3 · Its place in the literature

Who cites it

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.

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  12. Longitudinal Monitoring of Progressive Supranuclear Palsy using Body-Worn Movement Sensors.Movement disorders : official journal of the Movement Disorder Society · 2022
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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

11 authors at 2 institutions in 2 countries.

Cecilia RaccagniDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.ORCID 0000-0002-6857-2860
Heiko GaßnerDepartment of Molecular Neurology, University Hospital Erlangen, Friedrich-Alexander University, Erlangen-Nürnberg (FAU), Erlangen, Germany.
Sabine EschlboeckDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Sylvia BoeschDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Florian KrismerDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Klaus SeppiDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Werner PoeweDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Bjoern M EskofierMachine Learning and Data Analytics Lab, Friedrich-Alexander University Erlangen-Nürnberg (FAU), Erlangen, Germany.
Juergen WinklerDepartment of Molecular Neurology, University Hospital Erlangen, Friedrich-Alexander University, Erlangen-Nürnberg (FAU), Erlangen, Germany.
Gregor WenningDepartment of Neurology, Medical University of Innsbruck, Innsbruck, Austria.
Jochen KluckenDepartment of Molecular Neurology, University Hospital Erlangen, Friedrich-Alexander University, Erlangen-Nürnberg (FAU), Erlangen, Germany.
Innsbruck Medical University · ATFriedrich-Alexander-Universität Erlangen-Nürnberg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

objectivesGait impairment and reduced mobility are typical features of idiopathic Parkinson's disease (iPD) and atypical parkinsonian disorders (APD). Quantitative gait assessment may have value in the diagnostic workup of parkinsonian patients and as endpoint in clinical trials. The study aimed to identify quantitative gait parameter differences in iPD and APD patients using sensor-based gait analysis and to correlate gait parameters with clinical rating scales. SUBJECTS AND

methodsPatients with iPD and APD including Parkinson variant multiple system atrophy and progressive supranuclear palsy matched for age, gender, and Hoehn and Yahr (≤3) were recruited at two Movement Disorder Units and assessed using standardized clinical rating scales (MDS-UPDRS-3, UMSARS, PSP-RS). Gait analysis consisted of inertial sensor units laterally attached to shoes, generating as objective targets spatiotemporal gait parameters from 4 × 10 m walk tests.

resultsObjective sensor-based gait analysis showed that gait speed and stride length were markedly reduced in APD compared to iPD patients. Moreover, clinical ratings significantly correlated with gait speed and stride length in APD patients.

conclusionOur findings suggest that patients with APD had more severely impaired gait parameters than iPD patients despite similar disease severity. Instrumented gait analysis provides complementary rater independent, quantitative parameters that can be exploited for clinical trials and care.

Indexed as

Gait AnalysisParkinson DiseaseParkinsonian DisordersWalking SpeedAgedCross-Sectional StudiesDiagnostic EquipmentDisease ProgressionFemaleHumansMaleMiddle AgedMultiple System AtrophySeverity of Illness IndexSupranuclear Palsy, Progressiveatypical parkinsonian disordersmultiple system atrophyparkinson's diseaseprogressive supranuclear palsysensor-based gait analysis

Identifiers

PMID29733529
PMCPMC5991583
OpenAlexW2799326400

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.