Evidence map›Paper›PMID 38867417›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2024

Remote and unsupervised digital memory assessments can reliably detect cognitive impairment in Alzheimer's disease.

David Berron, Emil Olsson, Felix Andersson, Shorena Janelidze, Pontus Tideman, Emrah Düzel, Sebastian Palmqvist, Erik Stomrud, Oskar Hansson

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing 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

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

  1. Pooled it
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  3. Article
  4. Digital cognitive phenotyping enhances risk stratification in preclinical Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
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  14. Clinical utility of digital technologies in Parkinson's disease.Journal of neural transmission (Vienna, Austria : 1996) · 2026
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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.

David BerronClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.
Emil OlssonClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.
Felix AnderssonMemory Clinic, Skåne University Hospital, Malmö, Sweden.
Shorena JanelidzeClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.
Pontus TidemanClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.
Emrah DüzelGerman Center for Neurodegenerative Diseases, Magdeburg, Germany.
Sebastian PalmqvistClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.
Erik StomrudClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.
Oskar HanssonClinical Memory Research Unit, Department of Clinical Sciences Malmö, Lund University, Lund, Sweden.

Funding

Alzheimer's Association SG-23-1061717Alzheimer's Disease Research, a program of the BrightFocus FoundationERA PerMed ERAPERMED2021-184European Union's Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie 843074Knut and Alice Wallenberg foundation 2017-0383Lund University, the Swedish Alzheimer Foundation AF-980907 AF-981132 AF-930385 AF-842631 AF-939711Regionalt Forskningsstöd 2022-1259Skåne University Hospital Foundation 2020-O000028Swedish Brain Foundation FO2021-0293 FO2022-0204Swedish federal government under the ALF agreement 2022-Projekt0080Swedish Research Council 2022-00775 2018-02052The Parkinson foundation of Sweden 1412/22
6 · The paper itself

Abstract

introductionRemote unsupervised cognitive assessments have the potential to complement and facilitate cognitive assessment in clinical and research settings.

methodsHere, we evaluate the usability, validity, and reliability of unsupervised remote memory assessments via mobile devices in individuals without dementia from the Swedish BioFINDER-2 study and explore their prognostic utility regarding future cognitive decline.

resultsUsability was rated positively; remote memory assessments showed good construct validity with traditional neuropsychological assessments and were significantly associated with tau-positron emission tomography and downstream magnetic resonance imaging measures. Memory performance at baseline was associated with future cognitive decline and prediction of future cognitive decline was further improved by combining remote digital memory assessments with plasma p-tau217. Finally, retest reliability was moderate for a single assessment and good for an aggregate of two sessions. DISCUSSION: Our results demonstrate that unsupervised digital memory assessments might be used for diagnosis and prognosis in Alzheimer's disease, potentially in combination with plasma biomarkers. HIGHLIGHTS: Remote and unsupervised digital memory assessments are feasible in older adults and individuals in early stages of Alzheimer's disease. Digital memory assessments are associated with neuropsychological in-clinic assessments, tau-positron emission tomography and magnetic resonance imaging measures. Combination of digital memory assessments with plasma p-tau217 holds promise for prognosis of future cognitive decline. Future validation in further independent, larger, and more diverse cohorts is needed to inform clinical implementation.

Indexed as

Alzheimer DiseaseCognitive DysfunctionMagnetic Resonance ImagingNeuropsychological TestsAgedAged, 80 and overBiomarkersFemaleHumansMaleMiddle AgedPositron-Emission TomographyReproducibility of ResultsSwedentau ProteinsBiomarkerstau ProteinsAlzheimer's diseaseambulatory assessmentsblood‐based biomarkersdigital cognitive markersecological momentary assessmentsmemorymHealthplasma markersmartphone‐based unsupervised assessments

Identifiers

PMID38867417
PMCPMC11247711

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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.