Evidence map›Paper›PMID 31169919›Full record

ArticleJournal of the American Geriatrics Society2019

White Matter Hyperintensities and Hippocampal Atrophy in Relation to Cognition: The 90+ Study.

Nienke Legdeur, Pieter Jelle Visser, Davis C Woodworth, Majon Muller, Evan Fletcher, Pauline Maillard, Philip Scheltens, Charles DeCarli, Claudia H Kawas, María M Corrada

Open access · greenAbstract read
In one paragraph

Article in Journal of the American Geriatrics Society, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
3.6field-weighted citation impact, top 7% 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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 46 citations in OpenAlex.

  1. Pooled it
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  12. Resilience to AD pathology in Top Cognitive Performers.Frontiers in aging neuroscience · 2024
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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

10 authors at 4 institutions in 2 countries.

Nienke LegdeurAlzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands.ORCID 0000-0002-0646-934X
Pieter Jelle VisserAlzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands.
Davis C WoodworthDepartment of Neurology, University of California, Irvine, California.
Majon MullerDepartment of Internal Medicine, Amsterdam UMC, Amsterdam, the Netherlands.
Evan FletcherDepartment of Neurology, University of California, Davis, California.
Pauline MaillardDepartment of Neurology, University of California, Davis, California.
Philip ScheltensAlzheimer Center Amsterdam, Department of Neurology, Amsterdam Neuroscience, Vrije Universiteit Amsterdam, Amsterdam UMC, Amsterdam, the Netherlands.ORCID 0000-0002-1046-6408
Charles DeCarliDepartment of Neurology, University of California, Davis, California.
Claudia H KawasDepartment of Neurology, University of California, Irvine, California.
María M CorradaDepartment of Neurology, University of California, Irvine, California.
Amsterdam Neuroscience · NLUniversity of California, Davis · USUniversity of California, Irvine · USMaastricht University · NL

Funding

Diversity Supplement to R01AG021055; Clinical, Imaging, and Pathological Studies in the Oldest Old: The 90+ StudyR01AG021055 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI CORRADA, MARIA, KAWAS, CLAUDIA H. · 2002 to 2024
$36.9M
UC Davis Alzheimer's Disease Core CenterP30AG010129 · NIA · UNIVERSITY OF CALIFORNIA DAVIS · PI DECARLI, CHARLES · 1991 to 2020
$28.3M
South Texas Alzheimer's Disease Research CenterP30AG066546 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Mohamad Habes · 2021 to 2026
$24.0M
PRECURSORS OF STROKE INCIDENCE AND PROGNOSISR01NS017950 · NINDS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Hugo Javier Aparicio, Jose Rafael Romero · 1985 to 2026
$22.9M
Temporal Trends, Novel Imaging and Molecular Characterization of Preclinical and Clinical Alzheimer's Disease in the Framingham CohortsR01AG054076 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI DECARLI, CHARLES, SESHADRI, SUDHA · 2016 to 2020
$12.3M
Cognitively Healthy Nonagenarians in the Cross Cohort Collaboration (CCC)RF1AG059421 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI SESHADRI, SUDHA · 2018 to 2018
$6.1M
NRF2 Anti-Oxidant Systems and White Matter HyperintensitiesR01AG042292 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI DECARLI, CHARLES, SHARP, FRANK R · 2013 to 2017
$3.0M
ADSP Follow-up in Multi-Ethnic Cohorts via Endophenotypes, Omics & Model SystemsU01AG052409 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI FORNAGE, MYRIAM, SESHADRI, SUDHA · 2016 to 2020
$1.6M
NIA NIH HHS P30 AG010129NIA NIH HHS P30 AG066546NIA NIH HHS R01 AG021055NIA NIH HHS R01 AG042292NIA NIH HHS R01 AG054076NIA NIH HHS RF1 AG059421NIA NIH HHS U01 AG052409NIH HHS P30AG10129NIH HHS R01AG021055NINDS NIH HHS R01 NS017950
6 · The paper itself

Abstract

objectivesTo study the interactive effect of white matter hyperintensities (WMH) and hippocampal atrophy on cognition in the oldest old.

designOngoing longitudinal study.

settingIn Southern California, brain magnetic resonance imaging (MRI) scans were conducted between May 2014 and December 2017.

participantsIndividuals from The 90+ Study with a valid brain MRI scan (N = 141; 94 cognitively normal and 47 with cognitive impairment). MEASUREMENTS: Cognitive testing was performed every 6 months with a mean follow-up of 2 years and included these tests: Mini-Mental State Examination (MMSE), modified MMSE (3MS), California Verbal Learning Test (CVLT) immediate recall over four trials and delayed recall, Digit Span Backward, Animal Fluency, and Trail Making Test (TMT) A, B, and C. We used one linear mixed model for each cognitive test to study the baseline and longitudinal association of WMH and hippocampal volume (HV) with cognition. Models were adjusted for age, sex, and education.

resultsMean age was 94.3 years (standard deviation [SD] = 3.2 y). At baseline, higher WMH volumes were associated with worse scores on the 3MS, CVLT immediate and delayed recall, and TMT B. Lower HVs were associated with worse baseline scores on all cognitive tests, except for the Digit Span Backward. Longitudinally, higher WMH and lower HVs were associated with faster decline in the 3MS and MMSE, and lower HV was also associated with faster decline in the CVLT immediate recall. No association was observed between WMH and HV and no interaction between WMH and HV in their association with baseline cognition or cognitive decline.

conclusionWe show that WMH and hippocampal atrophy have an independent, negative effect on cognition that make these biomarkers relevant to evaluate in the diagnostic work-up of the oldest-old individuals with cognitive complaints. However, the predictive value of WMH for cognitive decline seems to be less evident in the oldest-old compared with a younger group of older adults. J Am Geriatr Soc 67:1827-1834, 2019.

Indexed as

CognitionMagnetic Resonance ImagingAged, 80 and overAtrophyBrainCognitive DysfunctionFemaleHippocampusHumansLongitudinal StudiesMaleNeuropsychological TestsOrgan SizeWhite Mattercognitive functioninghippocampal atrophyoldest-oldwhite matter hyperintensities

Identifiers

PMID31169919
PMCPMC6732042
OpenAlexW2950964162

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.