Evidence map›Paper›PMID 29244218›Full record

ArticleAnnals of neurology2018

Person-specific contribution of neuropathologies to cognitive loss in old age.

Patricia A Boyle, Lei Yu, Robert S Wilson, Sue E Leurgans, Julie A Schneider, David A Bennett

Abstract read
In one paragraph

Article in Annals of neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 298 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
298citing papers in PubMed, 4 pooled it
27.5field-weighted citation impact, top 1% 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

298 citing papers in PubMed, 4 syntheses or guidelines pooled it, 503 citations in OpenAlex.

  1. Pooled it
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  18. Biological classification of memory clinic patients.Brain : a journal of neurology · 2026
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  19. Review
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238 more citing papers are in PubMed but not listed here.

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 1 institution in 1 country.

Patricia A BoyleRush Alzheimer's Disease Center.
Lei YuRush Alzheimer's Disease Center.
Robert S WilsonRush Alzheimer's Disease Center.
Sue E LeurgansRush Alzheimer's Disease Center.
Julie A SchneiderRush Alzheimer's Disease Center.
David A BennettRush Alzheimer's Disease Center.
Rush University · 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
Risk Factors, Pathology, and Clinical Expressions of ADRF1AG015819 · NIA · RUSH UNIVERSITY MEDICAL CENTER · PI BENNETT, DAVID ALAN · 2014 to 2014
$6.0M
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 AG034374NIA NIH HHS R01 AG042210NIA NIH HHS RF1 AG015819
6 · The paper itself

Abstract

objectiveMixed neuropathologies are the most common cause of dementia at the population level, but how different neuropathologies contribute to cognitive decline at the individual level remains unknown. We quantified the contribution of 9 neuropathologies to cognitive loss at an individual level.

methodsParticipants (n = 1,079) came from 2 longitudinal clinical-pathologic studies of aging. All completed 2 + cognitive evaluations (maximum = 22), died, and underwent neuropathologic examinations to identify Alzheimer disease (AD), other neurodegenerative diseases, and vascular pathologies. Linear mixed models examined associations of neuropathologies with cognitive decline and estimated the proportion of cognitive loss accounted for by each neuropathology at a person-specific level.

resultsNeuropathology was ubiquitous, with 94% of participants having 1+, 78% having 2+, 58% having 3+, and 35% having 4+. AD was most frequent (65%) but rarely occurred in isolation (9%). Remarkably, >230 different neuropathologic combinations were observed, each of which occurred in <6% of the cohort. The relative contributions of specific neuropathologies to cognitive loss varied widely across individuals. Although AD accounted for an average of about 50% of the observed cognitive loss, the proportion accounted for at the individual level ranged widely from 22% to 100%. Lewy bodies and hippocampal sclerosis also had potent effects, but again their impacts varied at the person-specific level.

interpretationThere is much greater heterogeneity in the comorbidity and cognitive impact of age-related neuropathologies than currently appreciated, suggesting an urgent need for novel therapeutic approaches that embrace the complexity of disease to combat cognitive decline in old age. Ann Neurol 2018;83:74-83.

Indexed as

AgedAged, 80 and overAgingAlzheimer DiseaseAutopsyBrainCognitive DysfunctionCohort StudiesComorbidityDementia, VascularFemaleHumansLewy Body DiseaseLongitudinal StudiesMaleNervous System Diseases

Identifiers

PMID29244218
PMCPMC5876116
OpenAlexW2771599582

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.