Evidence map›Paper›PMID 40610478›Full record

ArticleNPJ Parkinson's disease2025

Novel technologies for REM sleep behavior disorder detection for home screening in Parkinson's disease and related alpha-synucleinopathies.

Kaat Colman, An-Marie Schyvens, Ilse De Volder, Johan Verbraecken, Angelique Pijpers, Mineke Viaene, Wolfgang Oertel, Femke Dijkstra, David Crosiers

Abstract read
In one paragraph

Article in NPJ Parkinson's disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

9 authors.

Kaat ColmanDepartment of Neurology, Antwerp University Hospital, Antwerp, Belgium. Kaat.colman@uantwerpen.be.
An-Marie SchyvensMultidisciplinary Sleep Disorders Centre, Antwerp University Hospital, Edegem, Belgium.
Ilse De VolderDepartment of Neurology, Antwerp University Hospital, Antwerp, Belgium.
Johan VerbraeckenMultidisciplinary Sleep Disorders Centre, Antwerp University Hospital, Edegem, Belgium.
Angelique PijpersSleep Medicine Centre Kempenhaeghe, Heeze, The Netherlands.
Mineke ViaeneLaboratory of Sleep Disorders, Regional Hospital Geel, Geel, Belgium.
Wolfgang OertelDepartment of Neurology, Philipps University, Marburg, Germany.
Femke Dijkstra *Department of Neurology, Antwerp University Hospital, Antwerp, Belgium.
David Crosiers *Department of Neurology, Antwerp University Hospital, Antwerp, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Isolated REM sleep behavior disorder (iRBD) is a prodromal marker of Parkinson's disease (PD) and related alpha-synucleinopathies. Identification of RBD is crucial for timely intervention and disease-modifying treatments. While video-polysomnography (vPSG) remains the diagnostic gold standard, its costly and resource-intensive nature limits its utility. This systematic review evaluates emerging non-PSG tools and modalities for home-based RBD detection. A systematic search of PubMed, Web of Science, and Cochrane Library identified 17 studies, categorized into actigraphy devices (n = 9), novel tools (n = 5), and emerging modalities (n = 3). Advances in actigraphy, through machine learning integration, have significantly improved RBD detection. Novel tools, including portable biopotential systems and temporary tattoo electrodes, show promise for home-based REM sleep without atonia monitoring, while contactless cameras demonstrate high sensitivity for dream-enacting behavior detection. Future studies for validation are needed, ensuring reliability and clinical applicability for large-scale screening efforts aimed at identifying individuals at risk for PD and related alpha-synucleinopathies.

Identifiers

PMID40610478
PMCPMC12229318

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Registered trials

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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.