Evidence map›Paper›PMID 37745655›Full record

ArticleFrontiers in neurology2023

Cognitive phenotypes in late-onset epilepsy: results from the atherosclerosis risk in communities study.

Anny Reyes, Andrea L C Schneider, Anna M Kucharska-Newton, Rebecca F Gottesman, Emily L Johnson, Carrie R McDonald

Open access · goldAbstract read
In one paragraph

Article in Frontiers in neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.0field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 9 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

6 authors at 5 institutions in 1 country.

Anny ReyesDepartment of Radiation Medicine & Applied Sciences, University of California, San Diego, La Jolla, CA, United States.
Andrea L C SchneiderDepartment of Neurology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, United States.
Anna M Kucharska-NewtonDepartment of Epidemiology, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Rebecca F GottesmanNational Institute of Neurological Disorders and Stroke Intramural Research Program, Bethesda, MD, United States.
Emily L JohnsonDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, United States.
Carrie R McDonaldDepartment of Radiation Medicine & Applied Sciences, University of California, San Diego, La Jolla, CA, United States.
University of California San Diego · USJohns Hopkins Medicine · USNational Institute of Neurological Disorders and Stroke · USUniversity of North Carolina at Chapel Hill · USUniversity of Pennsylvania · US

Funding

ARIC Neurocognitive Study (ARIC-NCS) Renewal 2023-2028U01HL096812 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI JOSEF CORESH, THOMAS H MOSLEY · 2010 to 2026
$65.7M
ARIC Neurocognitive Study (ARIC-NCS) Renewal UNC 4 of 5U01HL096899 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COUPER, DAVID J · 2010 to 2018
$7.5M
BRain Aging and Cognition in Epilepsy (BRACE): A longitudinal investigationof vascular, genetic, and biomarker risk profiles in elderly patients with epilepsyR01NS120976 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CARRIE R MCDONALD · 2021 to 2026
$4.1M
Late-onset Epilepsy and CognitionK23AG063899 · NIA · JOHNS HOPKINS UNIVERSITY · PI JOHNSON, EMILY · 2020 to 2024
$973k
NHLBI NIH HHS U01 HL096812NHLBI NIH HHS U01 HL096899NIA NIH HHS K23 AG063899NINDS NIH HHS R01 NS120976
6 · The paper itself

Abstract

Introduction: Cognitive phenotyping is a widely used approach to characterize the heterogeneity of deficits in patients with a range of neurological disorders but has only recently been applied to patients with epilepsy. In this study, we identify cognitive phenotypes in older adults with late-onset epilepsy (LOE) and examine their demographic, clinical, and vascular profiles. Further, we examine whether specific phenotypes pose an increased risk for progressive cognitive decline. Methods: Participants were part of the Atherosclerosis Risk in Communities Study (ARIC), a prospective longitudinal community-based cohort study of 15,792 individuals initially enrolled in 1987-1989. LOE was identified from linked Centers for Medicare and Medicaid Services claims data. Ninety-one participants with LOE completed comprehensive testing either prior to or after seizure onset as part of a larger cohort in the ARIC Neurocognitive Study in either 2011-2013 or 2016-2017 (follow-up mean = 4.9 years). Cognitive phenotypes in individuals with LOE were derived by calculating test-level impairments for each participant (i.e., ≤1 SD below cognitively normal participants on measures of language, memory, and executive function/processing speed); and then assigning participants to phenotypes if they were impaired on at least two tests within a domain. The total number of impaired domains was used to determine the cognitive phenotypes (i.e., Minimal/No Impairment, Single Domain, or Multidomain). Results: At our baseline (Visit 5), 36.3% met criteria for Minimal/No Impairment, 35% for Single Domain Impairment (with executive functioning/ processing speed impaired in 53.6%), and 28.7% for Multidomain Impairment. The Minimal/No Impairment group had higher education and occupational complexity. There were no differences in clinical or vascular risk factors across phenotypes. Of those participants with longitudinal data (Visit 6; Discussion: Our results demonstrate the presence of identifiable cognitive phenotypes in older adults with LOE. These results also highlight the high prevalence of cognitive impairments across domains, with deficits in executive function/processing speed the most common isolated impairment. We also demonstrate that higher education was associated with a Minimal/No Impairment phenotype and lower risk for cognitive decline over time.

Indexed as

agingcognitiondementiaepilepsyphenotypes

Identifiers

PMID37745655
PMCPMC10513940
OpenAlexW4386149830

What OpenQuestion holds

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LicenceCC BY
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.