Evidence map›Paper›PMID 36419201›Full record

ArticleAlzheimer's & dementia : the journal of the Alzheimer's Association2023

Adverse driving behaviors increase over time as a function of preclinical Alzheimer's disease biomarkers.

Jason M Doherty, Samantha A Murphy, Sayeh Bayat, Julie K Wisch, Ann M Johnson, Alexis Walker, Suzanne E Schindler, Beau M Ances, John C Morris, Ganesh M Babulal

Abstract read
In one paragraph

Article in Alzheimer's & dementia : the journal of the Alzheimer's Association, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

  1. Driving the neural exposome: Latent mobility states from naturalistic GPS data in older adults.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
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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

10 authors.

Jason M DohertyDepartment of Neurology, Washington University in St. Louis, St. Louis, Missouri, USA.
Samantha A MurphyDepartment of Neurology, Washington University in St. Louis, St. Louis, Missouri, USA.
Sayeh BayatDepartment of Biomedical Engineering, University of Calgary, Calgary, Alberta, Canada.
Julie K WischDepartment of Neurology, Washington University in St. Louis, St. Louis, Missouri, USA.
Ann M JohnsonCenter for Clinical Studies, Washington University in St. Louis, St. Louis, Missouri, USA.
Alexis WalkerDepartment of Neurology, Washington University in St. Louis, St. Louis, Missouri, USA.
Suzanne E SchindlerDepartment of Neurology, Washington University in St. Louis, St. Louis, Missouri, USA.
Beau M AncesDepartment of Neurology, Washington University in St. Louis, St. Louis, Missouri, USA.
John C MorrisDepartment of Neurology, Washington University in St. Louis, St. Louis, Missouri, USA.
Ganesh M BabulalDepartment of Neurology, Washington University in St. Louis, St. Louis, Missouri, USA.

Funding

Project 1U19AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI Duygu Tosun-Turgut · 2016 to 2026
$226.7M
Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI JOHN MORRIS · 1985 to 2026
$69.5M
Imaging CoreU19AG032438 · NIA · WASHINGTON UNIVERSITY · PI BATEMAN, RANDALL J · 2010 to 2025
$53.9M
The natural history of AB accumulation in preclinical ADP01AG026276 · NIA · WASHINGTON UNIVERSITY · PI MORRIS, JOHN · 2005 to 2025
$49.5M
Research Education ComponentP30AG066444 · NIA · WASHINGTON UNIVERSITY · PI DAVID M. HOLTZMAN · 2020 to 2026
$28.7M
Naturalistic driving as a functional neurobehavioral marker of preclinical and symptomatic Alzheimer diseaseR01AG068183 · NIA · WASHINGTON UNIVERSITY · PI BABULAL, GANESH M · 2020 to 2024
$6.7M
Preclinical Alzheimer Disease and DrivingR01AG056466 · NIA · WASHINGTON UNIVERSITY · PI BABULAL, GANESH M · 2017 to 2021
$5.9M
The Impact of Depression and Preclinical Alzheimer Disease on Driving Among Older AdultsR01AG067428 · NIA · WASHINGTON UNIVERSITY · PI BABULAL, GANESH M · 2020 to 2024
$4.0M
FALLS: A MARKER OF PRECLINICAL ALZHEIMERS DISEASER01AG057680 · NIA · WASHINGTON UNIVERSITY · PI ANCES, BEAU M, STARK, SUSAN LYNN · 2018 to 2022
$3.4M
NIA NIH HHS P01 AG003991NIA NIH HHS P01 AG026276NIA NIH HHS P30 AG066444NIA NIH HHS R01 AG056466NIA NIH HHS R01 AG057680NIA NIH HHS R01 AG067428NIA NIH HHS R01 AG068183NIA NIH HHS U19 AG024904NIA NIH HHS U19 AG032438
6 · The paper itself

Abstract

introductionWe investigated the relationship between preclinical Alzheimer's disease (AD) biomarkers and adverse driving behaviors in a longitudinal analysis of naturalistic driving data.

methodsNaturalistic driving data collected using in-vehicle dataloggers from 137 community-dwelling older adults (65+) were used to model driving behavior over time. Cerebrospinal fluid (CSF) biomarkers were used to identify individuals with preclinical AD. Additionally, hippocampal volume and cognitive biomarkers for AD were investigated in exploratory analyses.

resultsCSF biomarkers predicted the longitudinal trajectory of the incidence of adverse driving behavior. Abnormal amyloid beta (Aβ DISCUSSION: Preclinical AD is associated with increased adverse driving behavior over time that cannot be explained by cognitive changes. Driving behavior as a functional, neurobehavioral marker may serve as an early detection for decline in preclinical AD. Screening may also help prolong safe driving as older drivers age.

Indexed as

Alzheimer DiseaseCognitive DysfunctionAgedAmyloid beta-PeptidesBiomarkersHumansPeptide Fragmentstau ProteinsAmyloid beta-PeptidesBiomarkersPeptide Fragmentstau ProteinsAlzheimer's diseasecerebrospinal fluid biomarkersdrivingolder adults

Identifiers

PMID36419201
PMCPMC10182221

What OpenQuestion holds

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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.