Evidence map›Paper›PMID 38714742›Full record

ArticleNPJ digital medicine2024

Online cognitive monitoring technology for people with Parkinson's disease and REM sleep behavioural disorder.

Maria Bălăeţ, Falah Alhajraf, Tanja Zerenner, Jessica Welch, Jamil Razzaque, Christine Lo, Valentina Giunchiglia, William Trender, Annalaura Lerede, Peter J Hellyer and 4 more

Abstract read
In one paragraph

Article in NPJ digital medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  5. A comprehensive guide to digital neurology. An update on current development on digital neurology derived from the Digital Neuro Hub project.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2025
    Review
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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

14 authors.

Maria BălăeţDepartment of Brain Sciences, Imperial College London, London, UK. m.balaet17@imperial.ac.uk.ORCID http://orcid.org/0000-0002-0562-6139
Falah AlhajrafOxford Parkinson's Disease Centre, Nuffield Department Clinical Neurosciences, University of Oxford, Oxford, UK.
Tanja ZerennerPopulation Health Sciences, University of Bristol, Bristol, UK.
Jessica WelchOxford Parkinson's Disease Centre, Nuffield Department Clinical Neurosciences, University of Oxford, Oxford, UK.
Jamil RazzaqueOxford Parkinson's Disease Centre, Nuffield Department Clinical Neurosciences, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-6700-1177
Christine LoOxford Parkinson's Disease Centre, Nuffield Department Clinical Neurosciences, University of Oxford, Oxford, UK.ORCID http://orcid.org/0000-0002-5671-3881
Valentina GiunchigliaDepartment of Brain Sciences, Imperial College London, London, UK.ORCID http://orcid.org/0000-0002-2165-7840
William TrenderDepartment of Brain Sciences, Imperial College London, London, UK.
Annalaura LeredeDepartment of Brain Sciences, Imperial College London, London, UK.
Peter J HellyerCentre for Neuroimaging Sciences, Institute of Psychiatry, Psychology and Neuroscience, King's College London, London, UK.
Sanjay G ManoharOxford Parkinson's Disease Centre, Nuffield Department Clinical Neurosciences, University of Oxford, Oxford, UK.
Paresh MalhotraDepartment of Brain Sciences, Imperial College London, London, UK.ORCID http://orcid.org/0000-0002-1897-0780
Michele HuOxford Parkinson's Disease Centre, Nuffield Department Clinical Neurosciences, University of Oxford, Oxford, UK.
Adam HampshireDepartment of Brain Sciences, Imperial College London, London, UK.

Funding

Parkinson's UK J-2101
6 · The paper itself

Abstract

Automated online cognitive assessments are set to revolutionise clinical research and healthcare. However, their applicability for Parkinson's Disease (PD) and REM Sleep Behavioural Disorder (RBD), a strong PD precursor, is underexplored. Here, we developed an online battery to measure early cognitive changes in PD and RBD. Evaluating 19 candidate tasks showed significant global accuracy deficits in PD (0.65 SD, p = 0.003) and RBD (0.45 SD, p = 0.027), driven by memory, language, attention and executive underperformance, and global reaction time deficits in PD (0.61 SD, p = 0.001). We identified a brief 20-min battery that had sensitivity to deficits across these cognitive domains while being robust to the device used. This battery was more sensitive to early-stage and prodromal deficits than the supervised neuropsychological scales. It also diverged from those scales, capturing additional cognitive factors sensitive to PD and RBD. This technology offers an economical and scalable method for assessing these populations that can complement standard supervised practices.

Identifiers

PMID38714742
PMCPMC11076465

What OpenQuestion holds

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LicenceCC BY
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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.