Evidence map›Paper›PMID 34310039›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2022

Comparing data-driven and hypothesis-driven MRI-based predictors of cognitive impairment in individuals from the Atherosclerosis Risk in Communities (ARIC) study.

Ramon Casanova, Fang-Chi Hsu, Ryan T Barnard, Andrea M Anderson, Rajesh Talluri, Christopher T Whitlow, Timothy M Hughes, Michael Griswold, Kathleen M Hayden, Rebecca F Gottesman and 2 more

Open access · greenAbstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

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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 4 institutions in 1 country.

Ramon CasanovaDepartment of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, USA.
Fang-Chi HsuDepartment of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, USA.
Ryan T BarnardDepartment of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, USA.
Andrea M AndersonDepartment of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, USA.
Rajesh TalluriUniversity of Mississippi Medical Center, Jackson, Mississippi, USA.
Christopher T WhitlowDepartment of Radiology, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Timothy M HughesDepartment of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Michael GriswoldUniversity of Mississippi Medical Center, Jackson, Mississippi, USA.
Kathleen M HaydenDepartment of Social Sciences and Health Policy, Wake Forest School of Medicine, Winston-Salem, USA.
Rebecca F GottesmanDepartment of Neurology, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Lynne E WagenknechtDivison of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
Alzheimer's Disease Neuroimaging Initiative
Wake Forest University · USUniversity of Mississippi Medical Center · USAlzheimer’s Disease Neuroimaging Initiative · USJohns Hopkins Medicine · US

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
ARIC Neurocognitive Study (ARIC-NCS) Renewal 2023-2028U01HL096812 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI JOSEF CORESH, THOMAS H MOSLEY · 2010 to 2026
$65.7M
Wake Forest University School of Medicine Alzheimer's Disease Research CenterP30AG072947 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI SUZANNE CRAFT · 2021 to 2026
$24.3M
Wake Forest Alzheimer's Disease Core CenterP30AG049638 · NIA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ESPELAND, MARK ANDREW · 2016 to 2020
$12.2M
ARIC Neurocognitive Study (ARIC-NCS) Renewal 2 of 5U01HL096917 · NHLBI · UNIVERSITY OF MISSISSIPPI MED CTR · PI MOSLEY, THOMAS H · 2010 to 2018
$11.9M
ARIC Neurocognitive Study (ARIC-NCS) Renewal UNC 4 of 5U01HL096899 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COUPER, DAVID J · 2010 to 2018
$7.5M
ARIC Neurocognitive Study (ARIC-NCS)U01HL096902 · NHLBI · UNIVERSITY OF MINNESOTA · PI LUTSEY, PAMELA L. · 2010 to 2018
$7.4M
ARIC Neurocognitive Study (ARIC-NCS) Renewal 4 of 5U01HL096814 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI HUGHES, TIMOTHY M., WAGENKNECHT, LYNNE E · 2010 to 2018
$6.5M
The ARIC and Neurocognitive Longitudinal StudyR01HL070825 · NHLBI · UNIVERSITY OF MISSISSIPPI MEDICAL CENTER · PI MOSLEY, THOMAS H · 2002 to 2004
$5.1M
NHLBI NIH HHS HHSN268201700001CNHLBI NIH HHS HHSN268201700001INHLBI NIH HHS HHSN268201700002CNHLBI NIH HHS HHSN268201700002INHLBI NIH HHS HHSN268201700003CNHLBI NIH HHS HHSN268201700003INHLBI NIH HHS HHSN268201700004CNHLBI NIH HHS HHSN268201700004INHLBI NIH HHS HHSN268201700005CNHLBI NIH HHS HHSN268201700005INHLBI NIH HHS R01 HL070825NHLBI NIH HHS U01 HL096812NHLBI NIH HHS U01 HL096814NHLBI NIH HHS U01 HL096899NHLBI NIH HHS U01 HL096902NHLBI NIH HHS U01 HL096917NIA NIH HHS L30 AG074138NIA NIH HHS P30 AG049638NIA NIH HHS P30 AG072947NIA NIH HHS U01 AG024904
6 · The paper itself

Abstract

introductionA data-driven index of dementia risk based on magnetic resonance imaging (MRI), the Alzheimer's Disease Pattern Similarity (AD-PS) score, was estimated for participants in the Atherosclerosis Risk in Communities (ARIC) study.

methodsAD-PS scores were generated for 839 cognitively non-impaired individuals with a mean follow-up of 4.86 years. The scores and a hypothesis-driven volumetric measure based on several brain regions susceptible to AD were compared as predictors of incident cognitive impairment in different settings.

resultsLogistic regression analyses suggest the data-driven AD-PS scores to be more predictive of incident cognitive impairment than its counterpart. Both biomarkers were more predictive of incident cognitive impairment in participants who were White, female, and apolipoprotein E gene (APOE) ε4 carriers. Random forest analyses including predictors from different domains ranked the AD-PS scores as the most relevant MRI predictor of cognitive impairment.

conclusionsOverall, the AD-PS scores were the stronger MRI-derived predictors of incident cognitive impairment in cognitively non-impaired individuals.

Indexed as

Alzheimer DiseaseAtherosclerosisCognitive DysfunctionApolipoprotein E4BrainFemaleHumansMagnetic Resonance ImagingApolipoprotein E4AD-PSAlzheimer's diseaseARICmachine learningMRIrandom forest

Identifiers

PMID34310039
PMCPMC8789939
OpenAlexW3186292293

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Registered trials

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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.