Evidence map›Paper›PMID 41393339›Full record

ArticleJournal of Alzheimer's disease reports

Driving into diagnosis: Leveraging high-resolution telematics and sensorimotor profiling to identify preclinical Alzheimer's disease.

Behdad Parhizi, Ramana Kolady, Mia T Vogel, Ramkrishna K Singh, Semere Bekena, Raja Chokkalingam, Yiqi Zhu, Ganesh M Babulal

Abstract read
In one paragraph

Article in Journal of Alzheimer's disease reports. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

8 authors.

Behdad ParhiziDepartment of Neurology, Washington University in St Louis, St Louis, MO, USA.
Ramana KoladyUniversity of Rochester, Rochester, NY, USA.
Mia T VogelPublic Health Sciences, Brown School, Washington University in St Louis, St Louis, MO, USA.
Ramkrishna K SinghDepartment of Neurology, Washington University in St Louis, St Louis, MO, USA.ORCID https://orcid.org/0000-0001-9022-2317
Semere BekenaDepartment of Neurology, Washington University in St Louis, St Louis, MO, USA.ORCID https://orcid.org/0009-0008-6514-0502
Raja ChokkalingamCollege of Arts and Sciences, Washington University in St Louis, St Louis, MO, USA.
Yiqi ZhuDepartment of Neurology, Washington University in St Louis, St Louis, MO, USA.
Ganesh M BabulalDepartment of Neurology, Washington University in St Louis, St Louis, MO, USA.ORCID https://orcid.org/0000-0001-7966-3509

Funding

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
WUSTL Transdisciplinary Pre- and Postdoctoral Training Program in Obesity and Cardiovascular DiseaseT32HL130357 · NHLBI · WASHINGTON UNIVERSITY · PI WILFLEY, DENISE ELLA · 2016 to 2025
$4.3M
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
NHLBI NIH HHS T32 HL130357NIA NIH HHS R01 AG056466NIA NIH HHS R01 AG067428NIA NIH HHS R01 AG068183
6 · The paper itself

Abstract

Background: Early detection of preclinical Alzheimer's disease (AD) could expand preventative care. Current biomarkers are costly, invasive, or lack generalizability. Driving and sensorimotor performance may reveal prodromal changes. Objective: We tested whether features from high-frequency driving trips detect preclinical AD and whether demographic, genetic, or sensorimotor data improve accuracy. Methods: Drivers aged ≥ 65 (n = 254) from Driving Real-World In-Vehicle Evaluation System (DRIVES) completed cerebrospinal fluid Aβ Results: The top-performing model (driving, age, Conclusions: A high-frequency trip's driving telemetry, combined with age and

Indexed as

Alzheimer's diseaseApolipoproteins Ebiomarkersmachine learningnaturalistic drivingnoninvasive detectionolder adults

Identifiers

PMID41393339
PMCPMC12701245

What OpenQuestion holds

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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.