Evidence map›Paper›PMID 39973512›Full record

ArticleJournal of Parkinson's disease2025

Predictive potential of circular walking in prodromal Parkinson's disease.

M Encarna Micó-Amigo, Idsart Kingma, Sebastian Heinzel, Susanne Solbrig, Markus A Hobert, Morad Elshehabi, Kathrin Brockmann, Florian G Metzger, Rob C van Lummel, Daniela Berg and 2 more

Abstract read
In one paragraph

Article in Journal of Parkinson's disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

12 authors.

M Encarna Micó-AmigoDepartment of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam, The Netherlands.ORCID 0000-0002-8968-6373
Idsart KingmaDepartment of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam, The Netherlands.ORCID 0000-0003-2368-3935
Sebastian HeinzelDepartment of Neurology, Christian-Albrechts-University, Kiel, Germany.ORCID 0000-0003-4516-0529
Susanne SolbrigHertie Institute for Clinical Brain Research, Department of Neurodegeneration, Center of Neurology, University of Tübingen, Tübingen, Germany.
Markus A HobertDepartment of Neurology, Christian-Albrechts-University, Kiel, Germany.
Morad ElshehabiDepartment of Neurology, Christian-Albrechts-University, Kiel, Germany.ORCID 0000-0001-5138-2991
Kathrin BrockmannHertie Institute for Clinical Brain Research, Department of Neurodegeneration, Center of Neurology, University of Tübingen, Tübingen, Germany.
Florian G MetzgerDepartment of Psychiatry and Psychotherapy, University Hospital Tübingen, Tübingen, Germany.ORCID 0000-0002-8236-1170
Rob C van LummelMcRoberts B.V., The Hague, The Netherlands.ORCID 0000-0002-3152-8372
Daniela BergDepartment of Neurology, Christian-Albrechts-University, Kiel, Germany.ORCID 0000-0001-5796-5442
Walter MaetzlerDepartment of Neurology, Christian-Albrechts-University, Kiel, Germany.ORCID 0000-0002-5945-4694
Jaap H van DieënDepartment of Human Movement Sciences, Vrije Universiteit Amsterdam, Amsterdam Movement Sciences, Amsterdam, The Netherlands.ORCID 0000-0002-7719-5585

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BackgroundDevelopment of objective, reliable and easy-to-use methods to detect the onset of motor changes in Parkinson's disease (PD) is required to identify the temporal window in which neuromodulatory therapies could be implemented. Turning impairments are present at early stages of PD. However, it is unclear, to date, whether circular walking is also altered in prodromal PD.ObjectiveExplore the predictive potential of circular walking in prodromal PD.MethodsWe included 102 subjects from a nine-year prospective cohort study (with 712 participants) in the current nested case-control analysis: 16 diagnosed with PD during follow-up (incident PD) and 96 healthy controls, matched in gender, age, and education with a 1:6 ratio. Forty-one gait features were extracted from baseline assessments with accelerometers under single and dual-tasking conditions. A Cox proportional hazards regression analysis was used to test the temporal association of non-correlated gait features to the probability of being diagnosed with PD.ResultsWe identified associations between time from baseline measurement to PD diagnosis for eleven gait features, mostly based on harmonic ratios, step and stride variability, and index of harmonicity, partially in combination with gait speed. Most significant associations indicated that low gait symmetry and low rhythmicity were associated with larger hazard of being diagnosed with PD. Area under the curve ranged 0.63-0.69.ConclusionsDespite low sensitivity and specificity, the findings potentially reflect prodromal motor impairments of PD manifested during circular walking, assessed quantitatively with a low-cost and wearable instrument. This will contribute to the characterization of pre-diagnostic PD motor symptoms.

Indexed as

Gait Disorders, NeurologicParkinson DiseaseProdromal SymptomsWalkingAccelerometryAgedCase-Control StudiesFemaleHumansMaleMiddle AgedProspective Studiesaccelerometrycircular walkinggait analysisidiopathic Parkinson's disease

Identifiers

PMID39973512
PMCPMC13347426

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.