Evidence map›Paper›PMID 31932050›Full record

ArticleNeurobiology of aging2020

Cognitive reserve and rate of change in Alzheimer's and cerebrovascular disease biomarkers among cognitively normal individuals.

Corinne Pettigrew, Anja Soldan, Yuxin Zhu, Qing Cai, Mei-Cheng Wang, Abhay Moghekar, Michael I Miller, Baljeet Singh, Oliver Martinez, Evan Fletcher and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neurobiology of aging, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

27 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

12 authors.

Corinne PettigrewDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address: cpettigrew@jhmi.edu.
Anja SoldanDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Yuxin ZhuDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Qing CaiLyft, Inc., San Francisco, CA, USA.
Mei-Cheng WangDepartment of Biostatistics, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Abhay MoghekarDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Michael I MillerDepartment of Biomedical Engineering, Johns Hopkins University, Baltimore, MD, USA.
Baljeet SinghDepartment of Neurology, University of California, Davis, School of Medicine, Davis, CA, USA.
Oliver MartinezDepartment of Neurology, University of California, Davis, School of Medicine, Davis, CA, USA.
Evan FletcherDepartment of Neurology, University of California, Davis, School of Medicine, Davis, CA, USA.
Charles DeCarliDepartment of Neurology, University of California, Davis, School of Medicine, Davis, CA, USA.
Marilyn AlbertDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Funding

Project 2 MeasurementU19AG033655 · NIA · JOHNS HOPKINS UNIVERSITY · PI Abhay Moghekar · 2014 to 2026
$51.5M
'T V ASSESSMENT - MEMORY DISORDERED PATIENTS'P50AG005146 · NIA · JOHNS HOPKINS UNIVERSITY · PI HUGANIR, RICHARD L · 1985 to 2019
$37.6M
Research Education ComponentP30AG066507 · NIA · JOHNS HOPKINS UNIVERSITY · PI Corinne Pettigrew · 2020 to 2026
$29.3M
TR&D 4: Algorithms for functional and anatomical brain analysisP41EB015909 · NIBIB · HUGO W. MOSER RES INST KENNEDY KRIEGER · PI VAN ZIJL, PETER CM · 2012 to 2020
$13.1M
NIA NIH HHS P30 AG066507NIA NIH HHS P50 AG005146NIA NIH HHS U19 AG033655NIBIB NIH HHS P41 EB015909
6 · The paper itself

Abstract

We examined whether cognitive reserve (CR) impacts level of, or rate of change in, biomarkers of Alzheimer's disease (AD) and small-vessel cerebrovascular disease in >250 individuals who were cognitively normal and middle-aged and older at the baseline. The four primary biomarker categories commonly examined in studies of AD were measured longitudinally: cerebrospinal fluid measures of amyloid (A) and tau (T); cerebrospinal fluid and neuroimaging measures of neuronal injury (N); and neuroimaging measures of white matter hyperintensities (WMHs) to assess cerebrovascular pathology (V). CR was indexed by a composite score including years of education, reading, and vocabulary test performance. Higher CR was associated with lower levels of WMHs, particularly among those who subsequently progressed from normal cognition to MCI. CR was not associated with WMH trajectories. In addition, CR was not associated with either levels of, or rate of change in, A/T/N biomarkers. This may suggest that higher CR is associated with lifestyle factors that reduce levels of cerebrovascular disease, allowing individuals with higher CR to better tolerate other types of pathology.

Indexed as

Cognitive ReserveAgedAlzheimer DiseaseAmyloidogenic ProteinsBiomarkersCerebrovascular DisordersFemaleHumansMagnetic Resonance ImagingMaleMiddle AgedNeuroimagingNeuropsychological Teststau ProteinsWhite MatterAmyloidogenic ProteinsBiomarkerstau ProteinsAlzheimer's diseaseAmyloidBiomarkersCerebrovascular diseaseCognitive reserveTau

Identifiers

PMID31932050
PMCPMC7160864

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.