Evidence map›Paper›PMID 42141756›Full record

ArticleMovement disorders : official journal of the Movement Disorder Society2026

Wearable Movement-Tracking for Prodromal Parkinson's Disease Detection: A Cross-Country Validation Study.

Fabian Kahl, Ann-Kathrin Schalkamp, Katarina Mary Gunter, Anja Ophey, Sinah Röttgen, Jamil Razzaque, Konstantin Kufer, Cynthia Sandor, Gereon R Fink, Elke Kalbe and 6 more

Abstract readValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Movement disorders : official journal of the Movement Disorder Society, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Fabian KahlInstitute for Digital Medicine, University of Bonn, University Hospital Bonn, Bonn, Germany.ORCID https://orcid.org/0009-0003-2741-2611
Ann-Kathrin SchalkampBakar Computational Health Sciences Institute, University of California, San Francisco, San Francisco, California, USA.
Katarina Mary GunterNuffield Department of Clinical Neurosciences, Oxford Parkinson's Disease Centre, University of Oxford, Oxford, UK.
Anja OpheyMedical Psychology | Neuropsychology and Gender Studies, Center for Neuropsychological Diagnostics and Intervention (CeNDI), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.ORCID https://orcid.org/0000-0001-5858-7762
Sinah RöttgenCognitive Neuroscience, Institute for Neuroscience and Medicine (INM-3), Research Centre Juelich, Juelich, Germany.
Jamil RazzaqueNuffield Department of Clinical Neurosciences, Oxford Parkinson's Disease Centre, University of Oxford, Oxford, UK.
Konstantin KuferClinic for Parkinson's Disease, Sleep Disorders, and Movement Disorders, University of Bonn, University Hospital Bonn, Bonn, Germany.
Cynthia SandorUK Dementia Research Institute at Imperial College London, London, UK.ORCID https://orcid.org/0000-0002-8905-1052
Gereon R FinkCognitive Neuroscience, Institute for Neuroscience and Medicine (INM-3), Research Centre Juelich, Juelich, Germany.ORCID https://orcid.org/0000-0002-8230-1856
Elke KalbeMedical Psychology | Neuropsychology and Gender Studies, Center for Neuropsychological Diagnostics and Intervention (CeNDI), Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany.ORCID https://orcid.org/0000-0001-8603-2545
Walter MaetzlerDepartment of Neurology, University Medical Center Schleswig-Holstein Campus Kiel and Kiel University, Kiel, Germany.
Clint HansenDepartment of Neurology, University Medical Center Schleswig-Holstein Campus Kiel and Kiel University, Kiel, Germany.
Stephan M JonasInstitute for Digital Medicine, University of Bonn, University Hospital Bonn, Bonn, Germany.
Michele T HuNuffield Department of Clinical Neurosciences, Oxford Parkinson's Disease Centre, University of Oxford, Oxford, UK.
Lara Marie ReimerInstitute for Digital Medicine, University of Bonn, University Hospital Bonn, Bonn, Germany.
Michael SommerauerCognitive Neuroscience, Institute for Neuroscience and Medicine (INM-3), Research Centre Juelich, Juelich, Germany.

Funding

European Research Council 10116958German Ministry for Research, Technology and Space 01ZZ2022Koeln Fortune Program (grant-no. 329/2021), Faculty of Medicine, University of Cologne 329/2021Ministry of Culture and Science of the State of North Rhine-Westphalia, Funding through the iBehave NetworkNational Institute for Health Research (NIHR) Oxford Biomedical Research Centre"Netzwerke 2021", an initiative of the Ministry of Culture and Science of the State of Northrhine Westphalia, the Federal Ministry of Research, Technology and Space (BMFTR) 01EO2107Partnership Fostering a European Research Area for Health (ERA4Health) GA N° 101095426UK Dementia Research Institute UK DRI-5209UKRI Future Leaders Fellowship MR/MR/X032892/1
6 · The paper itself

Abstract

backgroundModels trained on accelerometer data have been proposed for detecting prodromal Parkinson's disease (PD). However, uncertainties in diagnosis timing in the UK Biobank (UKBB) may affect generalizability to other cohorts.

objectivesThe aim of the study was to evaluate the performance of previously published models for prodromal PD detection in other international cohorts.

methodsWe applied the models to data from German and British cohorts of individuals with isolated or idiopathic rapid eye movement sleep behavior disorder and healthy controls. We compared hourly acceleration patterns and classification performance across cohorts.

resultsThe British cohort exhibited visually similar activity patterns to UK Biobank but weaker statistical differences and reduced model performance. The German cohort showed no significant group differences and lower performance. No pair of cohorts demonstrated statistical equivalence.

conclusionsModels trained on UK Biobank data may capture early clinical disease rather than universal prodromal markers. Prospective validation in well-characterized cohorts is essential before clinical translation. © 2026 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Indexed as

AccelerometryParkinson DiseaseProdromal SymptomsREM Sleep Behavior DisorderWearable Electronic DevicesAgedCohort StudiesFemaleGermanyHumansMaleMiddle AgedMovementUnited Kingdom

Identifiers

PMID42141756
PMCPMC13518294

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.