Evidence map›Paper›PMID 35662117›Full record

ArticleJournal of Alzheimer's disease : JAD2022

Shortening of Saccades as a Possible Easy-to-Use Biomarker to Detect Risk of Alzheimer's Disease.

Sanna Hannonen, Sami Andberg, Virve Kärkkäinen, Minna Rusanen, Juha-Matti Lehtola, Toni Saari, Ville Korhonen, Laura Hokkanen, Merja Hallikainen, Tuomo Hänninen and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
3.7field-weighted citation impact, top 6% of its field
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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

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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 at 3 institutions in 1 country.

Sanna HannonenNeuroCenter, Neurology, Kuopio University Hospital, Kuopio, Finland.
Sami AndbergSchool of Computing, University of Eastern Finland, Joensuu, Finland.
Virve KärkkäinenNeuroCenter, Neurosurgery, Kuopio University Hospital, Kuopio, Finland.
Minna RusanenNeuroCenter, Neurology, Kuopio University Hospital, Kuopio, Finland.
Juha-Matti LehtolaDepartment of Neurology, Institute of Clinical Medicine, University of Estern Finland, Kuopio, Finland.
Toni SaariDepartment of Neurology, Institute of Clinical Medicine, University of Estern Finland, Kuopio, Finland.
Ville KorhonenDepartment of Neurology, Institute of Clinical Medicine, University of Estern Finland, Kuopio, Finland.
Laura HokkanenDepartment of Psychology and Logopedics, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Merja HallikainenNeuroCenter, Neurology, Kuopio University Hospital, Kuopio, Finland.
Tuomo HänninenNeuroCenter, Neurology, Kuopio University Hospital, Kuopio, Finland.
Ville LeinonenNeuroCenter, Neurosurgery, Kuopio University Hospital, Kuopio, Finland.
Kai KaarnirantaDepartment of Ophthalmology, Institute of Clinical Medicine, School of Medicine, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland.
Roman BednarikSchool of Computing, University of Eastern Finland, Joensuu, Finland.
Anne M KoivistoNeuroCenter, Neurology, Kuopio University Hospital, Kuopio, Finland.
University of Eastern Finland · FIKuopio University Hospital · FIUniversity of Helsinki · FI

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWide-ranging functional defects in eye movements have been reported in Alzheimer's disease (AD) dementia. The detection of abnormal eye movements and reading problems may identify persons at risk of AD when clear clinical symptoms are lacking.

objectiveTo examine whether computer-based eye-tracking (ET) analysis of King-Devick (KD) test results differentiates cognitively healthy persons from persons with minor problems in cognitive testing or diagnosed mild AD.

methodsWe recruited 78 participants (57 non-demented, 21 with mild AD) who underwent neurological examination, the Consortium to Establish a Registry for Alzheimer's Disease neuropsychological test battery (CERAD-NB), and a Clinical Dementia Rating (CDR) interview. The non-demented participants were further divided into control (normal CERAD subtests, mean MMSE = 28) and objective mild cognitive impairment (MCI; decline in at least one CERAD memory score, mean MMSE = 27) groups. The KD reading test was performed using computer-based ET. The total time used for the reading test, errors made, fixation and saccade durations, and saccade amplitudes were analyzed.

resultsWe found significant differences between the control, objective MCI, and AD groups in regard to the mean saccade amplitude (3.58, 3.33, and 3.21 ms, respectively, p < 0.03) and duration (27.1, 25.3, and 24.8 ms, respectively, p < 0.05). The KD error scores in the AD group differed significantly (p < 0.01) from the other groups.

conclusionComputed ET analysis of the KD test may help detect persons with objective MCI early when clear clinical symptoms are lacking. The portable device for ET is easy to use in primary health care memory clinics.

Indexed as

Alzheimer DiseaseCognitive DysfunctionBiomarkersHumansNeuropsychological TestsSaccadesBiomarkersAlzheimer’s diseasebiomarkerCERADeye trackingKing-Devickmild cognitive impairmentsaccadic eye movements

Identifiers

PMID35662117
PMCPMC9398059
OpenAlexW4281741007

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.