Evidence map›Paper›PMID 30772736›Full record

ArticleNeurobiology of aging2019

Cognitive aging is not created equally: differentiating unique cognitive phenotypes in "normal" adults.

Kaitlin B Casaletto, Fanny M Elahi, Adam M Staffaroni, Samantha Walters, Wilfredo Rivera Contreras, Amy Wolf, Dena Dubal, Bruce Miller, Kristine Yaffe, Joel H Kramer

Abstract read
In one paragraph

Article in Neurobiology of aging, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

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

  1. Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Sex and gender differences in cognitive resilience to aging and Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    Review
  13. A second X chromosome improves cognition in aging male and female mice.bioRxiv : the preprint server for biology · 2024
    Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Immune cell counts in cerebrospinal fluid predict cognitive function in aging and neurodegenerative disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023
    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

10 authors.

Kaitlin B CasalettoDepartment of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA. Electronic address: Kaitlin.casaletto@ucsf.edu.
Fanny M ElahiDepartment of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA.
Adam M StaffaroniDepartment of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA.
Samantha WaltersDepartment of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA.
Wilfredo Rivera ContrerasDepartment of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA.
Amy WolfDepartment of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA.
Dena DubalDepartment of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA.
Bruce MillerDepartment of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA.
Kristine YaffeDepartment of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA.
Joel H KramerDepartment of Neurology, Memory and Aging Center, University of California, San Francisco, CA, USA.

Funding

TDP-43 Loss-of-Function: Biology to BiomarkersP01AG019724 · NIA · UNIVERSITY OF PENNSYLVANIA · PI Jennifer Merrilees · 2002 to 2026
$67.2M
UC Davis Alzheimer's Disease Core CenterP30AG010129 · NIA · UNIVERSITY OF CALIFORNIA DAVIS · PI DECARLI, CHARLES · 1991 to 2020
$28.3M
PrPSc SPECIFIC INTERACTION WITH NOVEL PrP-Fc FUSION PROTEINSP50AG023501 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HUANG, YADONG · 2004 to 2018
$27.1M
Mechanisms of Executive Decline in Normal AgingR01AG032289 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Kaitlin B Casaletto, JOEL H KRAMER · 2009 to 2026
$8.3M
Multidisciplinary Research Fellowship in Alzheimer’s disease and Related DementiasT32AG023481 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BRUCE L MILLER, HOWARD J ROSEN · 2005 to 2026
$7.4M
Novel imaging and endothelial biomarkers of small vessel cerebrovascular diseaseUH3NS100608 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DECARLI, CHARLES, KRAMER, JOEL H · 2018 to 2020
$3.5M
Effects of chronic inflammation on brain structure and functionR01AG048234 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KRAMER, JOEL H · 2015 to 2019
$3.2M
Multimodal Imaging in Frontotemporal DegenerationK24AG045333 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ROSEN, HOWARD J · 2013 to 2023
$1.9M
Klotho and Neurodegenerative DiseaseR01NS092918 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DUBAL, DENA BOU · 2016 to 2020
$1.7M
Can Behavior Shape Neural Health? Identifying Modifiable Factors to Prevent Cognitive Decline in AgeK23AG058752 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CASALETTO, KAITLIN B · 2018 to 2022
$994k
NIA NIH HHS K23 AG058752NIA NIH HHS K24 AG045333NIA NIH HHS L30 AG057123NIA NIH HHS P01 AG019724NIA NIH HHS P30 AG010129NIA NIH HHS P50 AG023501NIA NIH HHS R01 AG032289NIA NIH HHS R01 AG048234NIA NIH HHS T32 AG023481NINDS NIH HHS R01 NS092918NINDS NIH HHS UH3 NS100608
6 · The paper itself

Abstract

Age-related cognitive decline is a public health problem but highly diverse and difficult to predict. We captured nonoverlapping cognitive phenotypes in high-functioning adults and identified baseline factors differentiating trajectories. Three hundred fourteen functionally normal adults (M = 69 y) completed 2+ visits. Participants with sample-based longitudinal slopes in memory or processing speed less than -1 SD were classified as "declining" on that measure; 29 and 50 individuals had slopes less than -1 SD on processing speed or memory, respectively; 2.5% met criteria for both, who were excluded. At baseline, speed decliners demonstrated greater age, inflammation, and cognitive complaints compared with speed-stable adults; memory decliners were more likely to be male and had lower depressive symptoms, gray matter volumes, and white matter hyperintensities compared with memory-stable adults. Baseline speed, TNFα, and cognitive complaints accurately classified 96.3% of future speed decliners; baseline memory, sex, precuneal volume, and white matter hyperintensities accurately classified 88.5% of future memory decliners. There are discrete cognitive aging phenotypes reflecting nonoverlapping vulnerabilities in high-functioning adults. Early markers can predict cognition even within the "normal" spectrum and underscore therapeutic targets.

Indexed as

Memory, EpisodicAgedAged, 80 and overCognitive AgingFemaleGray MatterHealthy AgingHumansMagnetic Resonance ImagingMaleMiddle AgedNeuroimagingNeuropsychological TestsSex FactorsTime FactorsTumor Necrosis Factor-alphaTumor Necrosis Factor-alphaAlzheimer's diseaseCytokinesEpisodic memoryMoodNeuroimagingProcessing speed

Identifiers

PMID30772736
PMCPMC6486874

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.