Evidence map›Paper›PMID 40428170›Full record

ArticleBioengineering (Basel, Switzerland)2025

Evidence for the Link Between Non-Motor Symptoms, Kinematic Gait Parameters, and Physical Function in People with Parkinson's Disease.

Eren Timurtas, Ahmed-Abou Sharkh, Kedar K V Mate, Helen Dawes, Nancy E Mayo

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Eren TimurtasDepartment of Physiotherapy and Rehabilitation, Faculty of Health Sciences, Marmara University, Istanbul 34722, Turkey.ORCID 0000-0001-9033-4327
Ahmed-Abou SharkhPhysioBiometrics Inc., Montreal, QC H2V 1P4, Canada.
Kedar K V MatePhysioBiometrics Inc., Montreal, QC H2V 1P4, Canada.ORCID 0000-0003-0027-846X
Helen DawesPhysioBiometrics Inc., Montreal, QC H2V 1P4, Canada.ORCID 0000-0002-2933-5213
Nancy E MayoSchool of Physical and Occupational Therapy, Faculty of Medicine, McGill University, Montreal, QC H3G 1Y5, Canada.

Funding

Health Brains for Healthy Lives Innovative Ideas Competition 2, Project A56The Scientific and Technological Research Council of Turkey (TÜBİTAK) 59B192203150
6 · The paper itself

Abstract

backgroundParkinson's disease (PD) affects both motor and non-motor functions, but their interactions are understudied. This study aims to explore the relationships between non-motor and motor effects of PD, focusing on depression, fatigue, gait parameters, concentration, and physical function.

methodsThis is a secondary analysis of baseline data from a randomized feasibility study using a commercially available Heel2Toe™ sensor, providing auditory feedback for gait quality. The sample included PD patients with gait impairments who walked without aids. Non-motor measures were depression, fatigue, and concentration, while motor measures included gait quality (angular velocity and variability during heel strike, push-off, foot swing) and physical function (6MWT, Mini-BESTest, Neuro-QoL). Path analysis was used to assess direct and indirect effects.

resultsAmong 27 participants, fatigue impacted heel strike, which affected Neuro-QoL. Mood influenced push-off and Neuro-QoL, with a direct link to 6MWT. Foot swing affected Mini-BESTest and Neuro-QoL directly.

conclusionsNon-motor PD effects directly influenced specific gait parameters and physical function indicators, highlighting potential digital biomarkers of fatigue and mood for targeted interventions.

Indexed as

balancegaitkinematicsParkinson’s diseasephysical functionwalking

Identifiers

PMID40428170
PMCPMC12109146

What OpenQuestion holds

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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.