Evidence map›Paper›PMID 30304397›Full record

ArticleBrain : a journal of neurology2018

Incident cognitive impairment: longitudinal changes in molecular, structural and cognitive biomarkers.

Catherine M Roe, Beau M Ances, Denise Head, Ganesh M Babulal, Sarah H Stout, Elizabeth A Grant, Jason Hassenstab, Chengjie Xiong, David M Holtzman, Tammie L S Benzinger and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Brain : a journal of neurology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

34 citing papers in PubMed, 42 citations in OpenAlex.

  1. Trial
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  7. Integrating Machine Learning and Environmental and Genetic Risk Factors for the Early Detection of Preclinical Alzheimer's Disease.The journals of gerontology. Series B, Psychological sciences and social sciences · 2025
    Article
  8. Observational
  9. Observational
  10. Article
  11. Article
  12. Neuropsychiatric Symptoms and Alzheimer Disease Biomarkers Independently Predict Progression to Incident Cognitive Impairment.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2023
    Article
  13. Article
  14. Article
  15. How can secondary dementia prevention trials of Alzheimer's disease be clinically meaningful?Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023
    Article
  16. Article
  17. Related amyloid burden and cortical atrophy in individuals with subtle cognitive decline.Journal of neuroimaging : official journal of the American Society of Neuroimaging · 2022
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 2 institutions in 1 country.

Catherine M RoeCharles F. and Joanne Knight Alzheimer's disease Research Center, Washington University School of Medicine, St. Louis, MO, USA.
Beau M AncesCharles F. and Joanne Knight Alzheimer's disease Research Center, Washington University School of Medicine, St. Louis, MO, USA.
Denise HeadCharles F. and Joanne Knight Alzheimer's disease Research Center, Washington University School of Medicine, St. Louis, MO, USA.
Ganesh M BabulalCharles F. and Joanne Knight Alzheimer's disease Research Center, Washington University School of Medicine, St. Louis, MO, USA.
Sarah H StoutCharles F. and Joanne Knight Alzheimer's disease Research Center, Washington University School of Medicine, St. Louis, MO, USA.
Elizabeth A GrantCharles F. and Joanne Knight Alzheimer's disease Research Center, Washington University School of Medicine, St. Louis, MO, USA.
Jason HassenstabCharles F. and Joanne Knight Alzheimer's disease Research Center, Washington University School of Medicine, St. Louis, MO, USA.
Chengjie XiongCharles F. and Joanne Knight Alzheimer's disease Research Center, Washington University School of Medicine, St. Louis, MO, USA.
David M HoltzmanCharles F. and Joanne Knight Alzheimer's disease Research Center, Washington University School of Medicine, St. Louis, MO, USA.
Tammie L S BenzingerCharles F. and Joanne Knight Alzheimer's disease Research Center, Washington University School of Medicine, St. Louis, MO, USA.
Suzanne E SchindlerCharles F. and Joanne Knight Alzheimer's disease Research Center, Washington University School of Medicine, St. Louis, MO, USA.
Anne M FaganCharles F. and Joanne Knight Alzheimer's disease Research Center, Washington University School of Medicine, St. Louis, MO, USA.
John C MorrisCharles F. and Joanne Knight Alzheimer's disease Research Center, Washington University School of Medicine, St. Louis, MO, USA.
Washington University in St. Louis · USHope Center for Neurological Disorders · US

Funding

WU INSTITUTE OF CLINICAL AND TRANSLATIONAL SCIENCESUL1TR002345 · NCATS · WASHINGTON UNIVERSITY · PI William G. Powderly · 2017 to 2026
$97.8M
Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI Tammie Lee Smith Benzinger · 1985 to 2026
$69.5M
WASHINGTON UNIVERSITY ALZHEIMERS DISEASE RESEARCH CENTERP50AG005681 · NIA · WASHINGTON UNIVERSITY · PI MORRIS, JOHN · 1985 to 2019
$52.1M
The natural history of AB accumulation in preclinical ADP01AG026276 · NIA · WASHINGTON UNIVERSITY · PI SCHINDLER, SUZANNE ELIZABETH · 2005 to 2025
$49.5M
Washington University Institute of Clinical and Translational SciencesUL1TR000448 · NCATS · WASHINGTON UNIVERSITY · PI EVANOFF, BRADLEY A · 2012 to 2016
$41.4M
proj 3 - NINDS INSTIUTIONAL CENTER CORE GRANTS TO SUPPORT NEUROSCIENCE RESEARP30NS048056 · NINDS · WASHINGTON UNIVERSITY · PI MARCUS, DANIEL SCOTT · 2004 to 2014
$7.4M
Preclinical Alzheimer Disease and DrivingR01AG056466 · NIA · WASHINGTON UNIVERSITY · PI BABULAL, GANESH M · 2017 to 2021
$5.9M
Quantification of Neuroinflammation inAlzheimer's Disease Using Diffusion BasisSpectrum ImagingR01AG054567 · NIA · WASHINGTON UNIVERSITY · PI BENZINGER, TAMMIE LEE SMITH, WANG, YONG · 2017 to 2021
$3.6M
DRIVING PERFORMANCE IN PRECLINICAL ALZHEIMER'S DISEASER01AG043434 · NIA · WASHINGTON UNIVERSITY · PI ROE, CATHERINE M · 2012 to 2016
$2.4M
NCATS NIH HHS UL1 TR000448NCATS NIH HHS UL1 TR002345NIA NIH HHS P01 AG003991NIA NIH HHS P01 AG026276NIA NIH HHS P50 AG005681NIA NIH HHS R01 AG043434NIA NIH HHS R01 AG054567NIA NIH HHS R01 AG056466NINDS NIH HHS P30 NS048056
6 · The paper itself

Abstract

Longer periods are needed to examine how biomarker changes occur relative to incident sporadic cognitive impairment. We evaluated molecular (CSF and imaging), structural, and cognitive biomarkers to predict incident cognitive impairment and examined longitudinal biomarker changes before and after symptomatic onset. Data from participants who were cognitively normal, underwent amyloid imaging using Pittsburgh compound B and/or CSF studies, and at least two clinical assessments were used. Stepwise Cox proportional hazards models tested associations of molecular (Pittsburgh compound B; CSF amyloid-β42, tau, ptau181, tau/amyloid-β42, ptau181/amyloid-β42), structural (normalized hippocampal volume, normalized whole brain volume), and cognitive (Animal Naming, Trail Making A, Trail Making B, Selective Reminding Test - Free Recall) biomarkers with time to Clinical Dementia Rating (CDR) > 0. Cognitively normal participants (n = 664), aged 42 to 90 years (mean ± standard deviation = 71.4 ± 9.2) were followed for up to 16.9 years (mean ± standard deviation = 6.2 ± 3.5 years). Of these, 145 (21.8%) participants developed a CDR > 0. At time of incident cognitive impairment, molecular, structural, and cognitive markers were abnormal for CDR > 0 compared to CDR = 0. Linear mixed models indicated rates of change in molecular biomarkers were similar for CDR = 0 and CDR > 0, suggesting that the separation in values between CDR = 0 and CDR > 0 must have occurred prior to the observation period. Rate of decline for structural and cognitive biomarkers was faster for CDR > 0 compared to CDR = 0 (P < 0.0001). Structural and cognitive biomarkers for CDR > 0 diverged from CDR 0 at 9 and 12 years before incident cognitive impairment, respectively. Within those who developed CDR > 0, a natural separation occurred for Pittsburgh compound B values. In particular, CDR > 0 who had at least one APOE ɛ4 allele had higher, and more rapid increase in Pittsburgh compound B, while APOE ɛ2 was observed to have slower increases in Pittsburgh compound B. Of molecular biomarker-positive participants followed for at least 10 years (n = 16-23), ∼70% remained CDR = 0 over the follow-up period. In conclusion, conversion from cognitively normal to CDR > 0 is characterized by not only the magnitude of molecular biomarkers but also rate of change in cognitive and structural biomarkers. Findings support theoretical models of biomarker changes seen during transition to cognitive impairment using longitudinal data and provide a potential time for changes seen during this transition. These findings support the use of molecular biomarkers for trial inclusion and cognitive/structural biomarkers for evaluating trial outcomes. Finally, results support a potential role for APOE ɛ in modulating amyloid accumulation in CDR > 0 with APOE ɛ4 being deleterious and APOE ɛ2 protective.

Indexed as

Alzheimer DiseaseCognitive DysfunctionAgedAged, 80 and overAmyloid beta-PeptidesAniline CompoundsApolipoproteins EBiomarkersFemaleGenotypeHumansIncidenceKaplan-Meier EstimateLongitudinal StudiesMagnetic Resonance ImagingMale2-(4'-(methylamino)phenyl)-6-hydroxybenzothiazoleAmyloid beta-Peptidesamyloid beta-protein (1-42)Aniline CompoundsApolipoproteins EBiomarkersPeptide FragmentsThiazoles

Identifiers

PMID30304397
PMCPMC6202574
OpenAlexW2896609212

What OpenQuestion holds

Textmetadata
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.