Evidence map›Paper›PMID 42004484›Full record

ArticleAdvances in Alzheimer's disease2025

Semantic Intrusion Errors Overcome the Impact of Literacy and Educational Attainment in Black/African Americans with and without Mild Cognitive Impairment.

Alexandra Ortega, Kirsten Horne Crenshaw, Triana Abel, Carlos Valentín-Camuñas, Stephanie Remedios, Brooke Bosworth, Sofia Ramirez, Dylan Hinton, Aleksandra Nedza, Elizabeth A Crocco and 2 more

Abstract read
In one paragraph

Article in Advances in Alzheimer's disease, 2025. 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
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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

12 authors.

Alexandra OrtegaFlorida Alzheimer's Disease Research Center (ADRC), Miami, USA.
Kirsten Horne CrenshawCenter for Cognitive Neuroscience and Aging (CNSA), Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, Miami, USA.
Triana AbelFlorida Alzheimer's Disease Research Center (ADRC), Miami, USA.
Carlos Valentín-CamuñasCenter for Cognitive Neuroscience and Aging (CNSA), Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, Miami, USA.
Stephanie RemediosCenter for Cognitive Neuroscience and Aging (CNSA), Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, Miami, USA.
Brooke BosworthCenter for Cognitive Neuroscience and Aging (CNSA), Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, Miami, USA.
Sofia RamirezCenter for Cognitive Neuroscience and Aging (CNSA), Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, Miami, USA.
Dylan HintonCenter for Cognitive Neuroscience and Aging (CNSA), Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, Miami, USA.
Aleksandra NedzaCenter for Cognitive Neuroscience and Aging (CNSA), Department of Psychiatry and Behavioral Sciences, Miller School of Medicine, University of Miami, Miami, USA.
Elizabeth A CroccoFlorida Alzheimer's Disease Research Center (ADRC), Miami, USA.
Rosie E Curiel-CidFlorida Alzheimer's Disease Research Center (ADRC), Miami, USA.
David LoewensteinFlorida Alzheimer's Disease Research Center (ADRC), Miami, USA.

Funding

Innovative Deep Phenotyping of African Americans at Risk for Alzheimers diseaseR01AG077677 · NIA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI Rosie E Curiel Cid, DAVID LOEWENSTEIN · 2023 to 2026
$5.5M
NIA NIH HHS R01 AG077677
6 · The paper itself

Abstract

The Loewenstein-Acevedo Scale for Semantic Interference and Learning (LASSI-L) is a novel test of learning and inability to recover from proactive interference. It has been successfully employed with older adults at risk for cognitive impairment but the association between literacy, educational achievement, and LASSI-L performance in underserved Black/African American (B/AA) older adults remains unknown. 83 participants were evaluated as part of a longitudinal observational study to render a consensus diagnosis based on comprehensive clinical history and neuropsychological evaluation. Participants were classified into two groups: 43 were diagnosed with amnestic mild cognitive impairment (aMCI) and 40 were cognitively unimpaired (CU). The Wide Range Achievement Test-IV (WRAT-IV) was used to determine levels of literacy. Participants completed the LASSI-L, an AD sensitive cognitive challenge test which was not utilized for diagnosis to avoid circularity. The CU group outperformed the aMCI group across all LASSI-L measures after demographic covariate adjustment. Robust associations were found between education, literacy, and correct responses on different LASSI-L word lists (but not semantic intrusion errors). In contrast, aMCI participants largely exhibited no associations between LASSI-L indices and literacy effects. Stepwise logistic regression achieved an overall accuracy of 81% in classifying cognitive status (84% CU specificity, 71% aMCI sensitivity). Literacy was related to certain LASSI-L measures of learning in CU participants, but not among individuals with aMCI. Even when adjusting for demographic covariates, the LASSI-L effectively distinguished B/AA CU and aMCI groups. Results underscore the practicality of the LASSI-L to assess cognitive impairment in individuals with lower literacy proficiency, as our model correctly distinguish 84% of cognitively unimpaired individuals and 71% of individuals with amnestic mild cognitive impairment.

Indexed as

African AmericansLiteracyMild Cognitive ImpairmentProactive InterferenceSemantic Intrusions

Identifiers

PMID42004484
PMCPMC13089977

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.