Evidence map›Paper›PMID 32452861›Full record

ArticleAlzheimer disease and associated disorders

Limbic-predominant Age-related TDP-43 Encephalopathy and Distinct Longitudinal Profiles of Domain-specific Literacy.

Lei Yu, Julie A Schneider, Alifiya Kapasi, David A Bennett, Patricia A Boyle

Open access · greenAbstract read
In one paragraph

Article in Alzheimer disease and associated disorders. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 38% 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

7 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Health and Financial Literacy and the Acquisition of COVID-19 Knowledge in Older Adults.Journal of applied gerontology : the official journal of the Southern Gerontological Society · 2025
    Article
  3. Article
  4. Article
  5. Well-Being and Aging-Related Decline in Financial and Health Literacy in Advanced Age.The journals of gerontology. Series B, Psychological sciences and social sciences · 2023
    Article
  6. Article
  7. Article
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

5 authors at 3 institutions in 2 countries.

Lei YuRush Alzheimer's Disease Center.
Julie A SchneiderRush Alzheimer's Disease Center.
Alifiya KapasiRush Alzheimer's Disease Center.
David A BennettRush Alzheimer's Disease Center.
Patricia A BoyleRush Alzheimer's Disease Center.
Rush University · USInstitute of Neurological Sciences · ITRush University Medical Center · US

Funding

SUPPLEMENT TO RUSH ALZHEIMERS DISEASE CENTER COREP30AG010161 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI LEURGANS, SUE E. · 1991 to 2020
$49.1M
EPIDEMIOLOGY OF NEURAL RESERVE AND NEUROBIOLOGY IN AGINGR01AG017917 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 2001 to 2023
$43.3M
RISK FACTORS, PATHOLOGY, AND CLINICAL EXPRESSIONS OF ADR01AG015819 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 1998 to 2024
$21.4M
Characterizing the Behavior Profile of Healthy Cognitive AgingR01AG034374 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI PATRICIA A BOYLE · 2009 to 2026
$8.8M
Epidemiologic Study of Impaired Decision-Making in Preclinical Alzheimer's DiseasR01AG033678 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BOYLE, PATRICIA A · 2009 to 2025
$7.8M
Characterizing TDP-43 related hippocampal degeneration and memory loss in agingR01AG067482 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI SCHNEIDER, JULIE A. · 2020 to 2024
$6.8M
Epidemiologic Study of TDP-43 Pathology in Aging and DementiaR01AG042210 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI SCHNEIDER, JULIE A. · 2012 to 2018
$2.4M
NIA NIH HHS P30 AG010161NIA NIH HHS R01 AG015819NIA NIH HHS R01 AG017917NIA NIH HHS R01 AG033678NIA NIH HHS R01 AG034374NIA NIH HHS R01 AG042210NIA NIH HHS R01 AG067482
6 · The paper itself

Abstract

purposeEmerging evidence suggests that limbic-predominant age-related TAR DNA-binding protein-43 (TDP-43) encephalopathy impacts domain-specific literacy, a complex ability not assessed in traditional cognitive evaluations. We examined longitudinal profiles of financial and health literacy in relation to limbic-predominant age-related TDP-43 encephalopathy neuropathologic change (LATE-NC).

participantsA total of 275 community-dwelling older persons who had completed annual literacy assessments, died and undergone brain autopsy.

methodsFinancial and health literacy was assessed using a 32-item instrument. Latent class mixed effects models identified groups of individuals with distinct longitudinal literacy profiles. Regression models examined group differences in 9 common age-related neuropathologies assessed via uniform structured neuropathologic evaluations.

resultsTwo distinct literacy profiles emerged. The first group (N=121, 44%) had higher level of literacy at baseline, slower decline and less variabilities over time. The second group (N=154, 56%) had lower level of literacy at baseline, faster decline, and greater variabilities. Individuals from the latter group were older, with fewer years of education and more female. They also had higher burdens of Alzheimer disease and LATE-NC. The group association with Alzheimer disease was attenuated and no longer significant after controlling for cognition. By contrast, the association with LATE-NC persisted.

conclusionLimbic-predominant age-related TDP-43 encephalopathy is uniquely associated with distinct longitudinal profiles of financial and health literacy in old age.

Indexed as

CognitionHealth LiteracyAged, 80 and overBrainFemaleHumansIndependent LivingLimbic EncephalitisLongitudinal StudiesMaleNeuropsychological TestsTDP-43 Proteinopathies

Identifiers

PMID32452861
PMCPMC7679283
OpenAlexW3030092222

What OpenQuestion holds

Textmetadata
LicenceTDM
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.