Evidence map›Paper›PMID 42024109›Full record

ArticleJournal of Alzheimer's disease : JAD2026

Defining neurocognitive constructs underlying visual attention in mild cognitive impairment and dementia using digital assessment technology.

David J Libon, Lydia A Bazzano, Jessica G Woo, Catherine C Price, Ileana De Anda-Duran, Benjiman Chapin, Elaine M Urbina, Ganesh Baliga

Abstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

David J LibonNew Jersey Institute for Successful Aging, School of Osteopathic Medicine, Rowan University, Stratford, NJ, USA.ORCID 0000-0001-6617-6066
Lydia A BazzanoDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA.
Jessica G WooDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Catherine C PriceDepartment of Clinical and Health Psychology, University of Florida, Gainesville, FL, USA.
Ileana De Anda-DuranDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA.
Benjiman ChapinDepartment of Anesthesiology, University of Florida, Gainesville, FL, USA.ORCID 0000-0002-9115-7470
Elaine M UrbinaDepartment of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Ganesh BaligaDepartment of Computer Science, Rowan University, Glassboro, NJ, USA.

Funding

I3C DECADE: Disparities and Equity in Childhood Cardiovascular Exposures and Alzheimer's DementiaR01AG077497 · NIA · TULANE UNIVERSITY OF LOUISIANA · PI BAZZANO, LYDIA, CARMICHAEL, OWEN T. · 2022 to 2025
$11.9M
NIA NIH HHS R01 AG077497
6 · The paper itself

Abstract

BackgroundProblems with visual attention can be an early indication for the emergence of dementia.ObjectiveThe current research assessed visual attention using three iPad administered, digital cancellation tests.MethodsLetter and Symbol Cancellation Tests asked participants to circle a specific letter or symbol. On the Mixed Cancellation Test, participants alternated circling a letter, then a symbol. Five outcome variables were tallied: correct hits; mean intra-response pause or "

Indexed as

AttentionCognitive DysfunctionDementiaDigital MediaNeuropsychological TestsVisual PerceptionAgedAged, 80 and overFemaleHumansMaleAlzheimer's diseaseBoston Process Approachcancellationdigital cancellation testsdivided attentionmild cognitive impairmentvisual search

Identifiers

PMID42024109
PMCPMC13219791

What OpenQuestion holds

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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.