Evidence map›Paper›PMID 36188827›Full record

ArticleFrontiers in rehabilitation sciences2021

Dual-Task Treadmill Training for the Prevention of Falls in Parkinson's Disease: Rationale and Study Design.

Veit Mylius, Laura Maes, Katrin Negele, Christine Schmid, Ramona Sylvester, Caroline Sharon Brook, Florian Brugger, Santiago Perez-Lloret, Jens Bansi, Kamiar Aminian and 3 more

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Article in Frontiers in rehabilitation sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

13 authors.

Veit MyliusDepartment of Neurology, Center for Neurorehabilitation, Valens, Switzerland.
Laura MaesDepartment of Neurology, Center for Neurorehabilitation, Valens, Switzerland.
Katrin NegeleDepartment of Neurology, Center for Neurorehabilitation, Valens, Switzerland.
Christine SchmidDepartment of Neurology, Center for Neurorehabilitation, Valens, Switzerland.
Ramona SylvesterDepartment of Neurology, Center for Neurorehabilitation, Valens, Switzerland.
Caroline Sharon BrookDepartment of Neurology, Center for Neurorehabilitation, Valens, Switzerland.
Florian BruggerDepartment of Neurology, Kantonsspital St. Gallen, St. Gallen, Switzerland.
Santiago Perez-LloretBiomedical Research Center (CAECIHS-UAI), National Research Council (CONICET), Buenos Aires, Argentina.
Jens BansiDepartment of Neurology, Center for Neurorehabilitation, Valens, Switzerland.
Kamiar AminianLaboratory of Movement Analysis and Measurement, EPFL, Lausanne, Switzerland.
Anisoara Paraschiv-IonescuLaboratory of Movement Analysis and Measurement, EPFL, Lausanne, Switzerland.
Roman GonzenbachDepartment of Neurology, Center for Neurorehabilitation, Valens, Switzerland.
Peter BruggerDepartment of Neurology, Center for Neurorehabilitation, Valens, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Various factors, such as fear of falling, postural instability, and altered executive function, contribute to the high risk of falling in Parkinson's disease (PD). Dual-task training is an established method to reduce this risk. Motor-perceptual task combinations typically require a patient to walk while simultaneously engaging in a perceptual task. Motor-executive dual-tasking (DT) combines locomotion with executive function tasks. One augmented reality treadmill training (AR-TT) study revealed promising results of a perceptual dual-task training with a markedly reduced frequency of falls especially in patients with PD. We here propose to compare the effects of two types of concurrent tasks, perceptual and executive, on high-intensity TT). Patients will be trained with TT alone, in combination with an augmented reality

Indexed as

augmented realitydual taskingexecutive functionParkinson's diseaserandom number generationtreadmill

Identifiers

PMID36188827
PMCPMC9397829

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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.