Evidence map›Paper›PMID 24107792›Full record

ArticleDementia and geriatric cognitive disorders2014

Molecular neuropsychology: creation of test-specific blood biomarker algorithms.

Sid E O'Bryant, Guanghua Xiao, Robert Barber, C Munro Cullum, Myron Weiner, James Hall, Melissa Edwards, Paula Grammas, Kirk Wilhelmsen, Rachelle Doody and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Dementia and geriatric cognitive disorders, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

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  9. Molecular markers of neuropsychological functioning and Alzheimer's disease.Alzheimer's & dementia (Amsterdam, Netherlands) · 2015
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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

12 authors at 8 institutions in 1 country.

Sid E O'BryantDepartment of Internal Medicine, University of North Texas Health Science Center, Fort Worth, Tex., USA.
Guanghua Xiao
Robert Barber
C Munro Cullum
Myron Weiner
James Hall
Melissa Edwards
Paula Grammas
Kirk Wilhelmsen
Rachelle Doody
Ramon Diaz-Arrastia
Texas Alzheimer’s Research and Care Consortium
Baylor College of Medicine · USInstitute on Aging · USNanotherapeutics (United States) · USThe University of Texas Southwestern Medical Center · USUniformed Services University of the Health Sciences · USUniversity of North Carolina at Chapel Hill · USUniversity of North Texas · USUniversity of North Texas Health Science Center · US

Funding

ROLE OF GLUTAMATE IN ALZHEIMER'S DISEASEP30AG012300 · NIA · UT SOUTHWESTERN MEDICAL CENTER · PI ROSENBERG, ROGER NEWMAN · 1994 to 2016
$26.6M
A Blood-Based Screening Tool for Alzheimer's DiseaseR01AG039389 · NIA · UNIVERSITY OF NORTH TEXAS HLTH SCI CTR · PI O'BRYANT, SID E · 2012 to 2013
$608k
NIA NIH HHS P30 AG012300NIA NIH HHS P30AG12300NIA NIH HHS R01 AG039389NIA NIH HHS R01AG039389
6 · The paper itself

Abstract

backgroundPrior work on the link between blood-based biomarkers and cognitive status has largely been based on dichotomous classifications rather than detailed neuropsychological functioning. The current project was designed to create serum-based biomarker algorithms that predict neuropsychological test performance.

methodsA battery of neuropsychological measures was administered. Random forest analyses were utilized to create neuropsychological test-specific biomarker risk scores in a training set that were entered into linear regression models predicting the respective test scores in the test set. Serum multiplex biomarker data were analyzed on 108 proteins from 395 participants (197 Alzheimer patients and 198 controls) from the Texas Alzheimer's Research and Care Consortium.

resultsThe biomarker risk scores were significant predictors (p < 0.05) of scores on all neuropsychological tests. With the exception of premorbid intellectual status (6.6%), the biomarker risk scores alone accounted for a minimum of 12.9% of the variance in neuropsychological scores. Biomarker algorithms (biomarker risk scores and demographics) accounted for substantially more variance in scores. Review of the variable importance plots indicated differential patterns of biomarker significance for each test, suggesting the possibility of domain-specific biomarker algorithms.

conclusionsOur findings provide proof of concept for a novel area of scientific discovery, which we term 'molecular neuropsychology'.

Indexed as

AlgorithmsAgedAged, 80 and overAlzheimer DiseaseBiomarkersCognitionCohort StudiesFemaleHumansIntelligenceLinear ModelsMaleMiddle AgedNeuropsychological TestsNeuropsychologyBiomarkers

Identifiers

PMID24107792
PMCPMC4400831
OpenAlexW2000219861

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.