Evidence map›Paper›PMID 38890263›Full record

ArticleBehavior research methods2024

The Graded Incomplete Letters Test (GILT): a rapid test to detect cortical visual loss, with UK Biobank implementation.

Kxx Yong, A Petzold, P Foster, A Young, S Bell, Y Bai, A P Leff, S Crutch, J A Greenwood

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Article in Behavior research methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Kxx YongQueen Square Institute of Neurology, University College London, London, UK. keir.yong@ucl.ac.uk.ORCID http://orcid.org/0000-0002-9708-3599
A PetzoldQueen Square Institute of Neurology, University College London, London, UK.
P FosterInstitute of Ophthalmology, University College London, London, UK.
A YoungBig Data Institute, Nuffield, Department of Population Health, University of Oxford, Oxford, UK.
S BellUK Biobank, Stockport, UK.
Y BaiQueen Square Institute of Neurology, University College London, London, UK.
A P LeffQueen Square Institute of Neurology, University College London, London, UK.
S CrutchQueen Square Institute of Neurology, University College London, London, UK.
J A GreenwoodExperimental Psychology, University College London, London, UK. john.greenwood@ucl.ac.uk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Impairments of object recognition are core features of neurodegenerative syndromes, in particular posterior cortical atrophy (PCA; the 'visual-variant Alzheimer's disease'). These impairments arise from damage to higher-level cortical visual regions and are often missed or misattributed to common ophthalmological conditions. Consequently, diagnosis can be delayed for years with considerable implications for patients. We report a new test for the rapid measurement of cortical visual loss - the Graded Incomplete Letters Test (GILT). The GILT is an optimised psychophysical variation of a test used to diagnose cortical visual impairment, which measures thresholds for recognising letters under levels of increasing visual degradation (decreasing "completeness") in a similar fashion to ophthalmic tests. The GILT was administered to UK Biobank participants (total n=2,359) and participants with neurodegenerative conditions characterised by initial cortical visual (PCA, n=18) or memory loss (typical Alzheimer's disease, n=9). UK Biobank participants, including both typical adults and those with ophthalmological conditions, were able to recognise letters under low levels of completeness. In contrast, participants with PCA consistently made errors with only modest decreases in completeness. GILT sensitivity to PCA was 83.3% for participants reaching the 80% accuracy cut-off, increasing to 88.9% using alternative cut-offs (60% or 100% accuracy). Specificity values were consistently over 94% when compared to UK Biobank participants without or with documented visual conditions, regardless of accuracy cut-off. These first-release UK Biobank and clinical verification data suggest the GILT has utility in both rapidly detecting visual perceptual losses following posterior cortical damage and differentiating perceptual losses from common eye-related conditions.

Indexed as

Alzheimer DiseaseAdultAgedAged, 80 and overBiological Specimen BanksFemaleHumansMaleMiddle AgedNeuropsychological TestsUK BiobankUnited KingdomVision DisordersAlzheimer’s diseaseCortical vision lossDementiaLetter recognitionPosterior cortical atrophyUK BiobankVision testing

Identifiers

PMID38890263
PMCPMC11362218

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LicenceCC BY
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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.