Evidence map›Paper›PMID 38776513›Full record

Observational studyNeurology2024

Predicting Driving Cessation Among Cognitively Normal Older Drivers: The Role of Alzheimer Disease Biomarkers and Clinical Assessments.

Ganesh M Babulal, Ling Chen, Samantha A Murphy, David B Carr, John C Morris

Abstract readObservational Study
In one paragraph

Observational study in Neurology, 2024. 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
–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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. 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

5 authors.

Ganesh M BabulalFrom the Department of Neurology (G.M.B., S.A.M., J.C.M.), Division of Biostatistics (L.C.), and Department of Medicine (D.B.C.), Washington University School of Medicine, St. Louis, MO.ORCID 0000-0001-7966-3509
Ling ChenFrom the Department of Neurology (G.M.B., S.A.M., J.C.M.), Division of Biostatistics (L.C.), and Department of Medicine (D.B.C.), Washington University School of Medicine, St. Louis, MO.
Samantha A MurphyFrom the Department of Neurology (G.M.B., S.A.M., J.C.M.), Division of Biostatistics (L.C.), and Department of Medicine (D.B.C.), Washington University School of Medicine, St. Louis, MO.
David B CarrFrom the Department of Neurology (G.M.B., S.A.M., J.C.M.), Division of Biostatistics (L.C.), and Department of Medicine (D.B.C.), Washington University School of Medicine, St. Louis, MO.
John C MorrisFrom the Department of Neurology (G.M.B., S.A.M., J.C.M.), Division of Biostatistics (L.C.), and Department of Medicine (D.B.C.), Washington University School of Medicine, St. Louis, MO.ORCID 0000-0001-9820-5618

Funding

Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI JOHN MORRIS · 1985 to 2026
$69.5M
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
NIA NIH HHS P01 AG003991NIA NIH HHS P01 AG026276NIA NIH HHS P30 AG066444
6 · The paper itself

Abstract

BACKGROUND AND

objectivesWith the aging US population and increasing incidence of Alzheimer disease (AD), understanding factors contributing to driving cessation among older adults is crucial for clinicians. Driving is integral for maintaining independence and functional mobility, but the risk factors for driving cessation, particularly in the context of normal aging and preclinical AD, are not well understood. We studied a well-characterized community cohort to examine factors associated with driving cessation.

methodsThis prospective, longitudinal observation study enrolled participants from the Knight Alzheimer Disease Research Center and The DRIVES Project. Participants were enrolled if they were aged 65 years or older, drove weekly, and were cognitively normal (Clinical Dementia Rating [CDR] = 0) at baseline. Participants underwent annual clinical, neurologic, and neuropsychological assessments, including β-amyloid PET imaging and CSF (Aβ

resultsAmong the 283 participants included in this study, there was a mean follow-up of 5.62 years. Driving cessation (8%) was associated with older age, female sex, progression to symptomatic AD (CDR ≥0.5), and poorer performance on a preclinical Alzheimer cognitive composite (PACC) score. Aβ PET imaging did not independently predict driving cessation, whereas CSF biomarkers, specifically t-Tau/Aβ DISCUSSION: Female sex, CDR progression, and neuropsychological measures of cognitive functioning obtained in the clinic were strongly associated with future driving cessation. The results emphasize the need for early planning and conversations about driving retirement in the context of cognitive decline and the immense value of clinical measures in determining functional outcomes.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesAutomobile DrivingBiomarkerstau ProteinsAgedAged, 80 and overCognitionFemaleHumansLongitudinal StudiesMaleNeuropsychological TestsPeptide FragmentsPositron-Emission TomographyProspective StudiesAmyloid beta-Peptidesamyloid beta-protein (1-42)BiomarkersPeptide Fragmentstau Proteins

Identifiers

PMID38776513
PMCPMC11226325

What OpenQuestion holds

Textmetadata
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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.