Evidence map›Paper›PMID 27104893›Full record

ArticleJournal of Alzheimer's disease : JAD2016

Cerebrospinal Fluid Biomarkers and Reserve Variables as Predictors of Future "Non-Cognitive" Outcomes of Alzheimer's Disease.

Adam P Ingber, Jason Hassenstab, Anne M Fagan, Tammie L S Benzinger, Elizabeth A Grant, David M Holtzman, John C Morris, Catherine M Roe

Abstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Review
  2. Article
  3. Interaction between Cognitive Reserve and Biomarkers in Alzheimer Disease.International journal of molecular sciences · 2020
    Review
  4. Article
  5. Observational
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

8 authors at 4 institutions in 1 country.

Adam P IngberDepartment of Biological Statistics and Computational Biology, Cornell University, Ithaca, NY, USA.
Jason HassenstabKnight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA.
Anne M FaganKnight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA.
Tammie L S BenzingerKnight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA.
Elizabeth A GrantKnight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA.
David M HoltzmanKnight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA.
John C MorrisKnight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA.
Catherine M RoeKnight Alzheimer's Disease Research Center, Washington University School of Medicine, St. Louis, MO, USA.
Washington University in St. Louis · USHope Center for Neurological Disorders · USCornell University · USNeurological Surgery · US

Funding

Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI JOHN MORRIS · 1985 to 2026
$69.5M
WASHINGTON UNIVERSITY ALZHEIMERS DISEASE RESEARCH CENTERP50AG005681 · NIA · WASHINGTON UNIVERSITY · PI FAGAN, ANNE · 1985 to 2019
$52.1M
The natural history of AB accumulation in preclinical ADP01AG026276 · NIA · WASHINGTON UNIVERSITY · PI MORRIS, JOHN · 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
Washington University Center for Translational NeuroscienceP30NS057105 · NINDS · WASHINGTON UNIVERSITY · PI HOLTZMAN, DAVID M. · 2006 to 2011
$8.7M
proj 3 - NINDS INSTIUTIONAL CENTER CORE GRANTS TO SUPPORT NEUROSCIENCE RESEARP30NS048056 · NINDS · WASHINGTON UNIVERSITY · PI MARCUS, DANIEL SCOTT · 2004 to 2014
$7.4M
NEURAL RESPONSE TO INSULIN RESISTANCE TREATMENTSK23DK094982 · NIDDK · WASHINGTON UNIVERSITY · PI HASSENSTAB, JASON J · 2012 to 2016
$814k
NCATS NIH HHS UL1 TR000448NIA NIH HHS P01 AG003991NIA NIH HHS P01 AG026276NIA NIH HHS P50 AG005681NIDDK NIH HHS K23 DK094982NINDS NIH HHS P30 NS048056NINDS NIH HHS P30 NS057105
6 · The paper itself

Abstract

backgroundThe influence of reserve variables and Alzheimer's disease (AD) biomarkers on cognitive test performance has been fairly well-characterized. However, less is known about the influence of these factors on "non-cognitive" outcomes, including functional abilities and mood.

objectiveWe examined whether cognitive and brain reserve variables mediate how AD biomarker levels in cognitively normal persons predict future changes in function, mood, and neuropsychiatric behavior.

methodsNon-cognitive outcomes were examined in 328 individuals 50 years and older enrolled in ongoing studies of aging and dementia at the Knight Alzheimer Disease Research Center (ADRC). All participants were cognitively normal at baseline (Clinical Dementia Rating [CDR] 0), completed cerebrospinal fluid (CSF) and structural neuroimaging studies within one year of baseline, and were followed for an average of 4.6 annual visits. Linear mixed effects models explored how cognitive reserve and brain reserve variables mediate the relationships between AD biomarker levels and changes in function, mood, and neuropsychiatric behavior in cognitively normal participants.

resultsEducation levels did not have a significant effect on predicting non-cognitive decline. However, participants with smaller brain volumes exhibited the worst outcomes on measures of mood, functional abilities, and behavioral disturbance. This effect was most pronounced in individuals who also had abnormal CSF biomarkers.

conclusionsThe findings suggest that brain reserve plays a stronger, or earlier, role than cognitive reserve in protecting against non-cognitive impairment in AD.

Indexed as

AgedAged, 80 and overAlzheimer DiseaseAmyloid beta-PeptidesBrainCognitive ReserveCohort StudiesDepressionFemaleGeriatric AssessmentHumansImage Processing, Computer-AssistedLinear ModelsMagnetic Resonance ImagingMaleMiddle AgedAmyloid beta-Peptidestau ProteinsAlzheimer’s diseasebiomarkerscognitive reservedementia

Identifiers

PMID27104893
PMCPMC5031142
OpenAlexW2344562987

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.