ArticleGeriatrics (Basel, Switzerland)2021
Using Naturalistic Driving Data to Predict Mild Cognitive Impairment and Dementia: Preliminary Findings from the Longitudinal Research on Aging Drivers (LongROAD) Study.
Article in Geriatrics (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled 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.
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.
Who cites it
19 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Early detection of diseases causing dementia using digital navigation and gait measures: A systematic review of evidence.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024Pooled it
- Driving among individuals with chronic conditions: A systematic review of applied research using kinematic driving sensors.Journal of the American Geriatrics Society · 2024Pooled it
- Human-Centered Multi-Sensor Framework for Identifying Driving Patterns Associated with Cognitive Decline Through Quantitative Analysis.Research square · 2026Article
- Leveraging Naturalistic Driving Digital Biomarkers for Early Mild Cognitive Impairment Detection: Deep Learning Strategies.JMIR medical informatics · 2026Article
- Linkage of Medicare insurance claims to police-reported motor vehicle crashes: advancing traffic safety research in older adult populations.Injury epidemiology · 2026Article
- Sensor-Detected Differences in Behaviors of Older Drivers with Pre-MCI and Mild Cognitive Impairment vs. Unimpaired Drivers.Sensors (Basel, Switzerland) · 2026Article
- Pattern Mining of Older Drivers' Driving Behavior Through Telematics-data-driven Unsupervised Learning.IEEE sensors journal · 2025Article
- Early identification of cognitive impairment in older adults from Advanced Activities of Daily Living (AADL): A scoping review.Public health · 2025Article
- Identifying and Predicting Cognitive Decline Using Multi-Modal Sensor Data and Machine Learning Approach.Research square · 2025Article
- LiveDrive AI: A Pilot Study of a Machine Learning-Powered Diagnostic System for Real-Time, Non-Invasive Detection of Mild Cognitive Impairment.Bioengineering (Basel, Switzerland) · 2025Article
- Smart Driving Technology for Non-Invasive Detection of Age-Related Cognitive Decline.Sensors (Basel, Switzerland) · 2024Article
- Mild cognitive impairment prediction based on multi-stream convolutional neural networks.BMC bioinformatics · 2024Article
- Examining Associations Between Smartphone Use and Clinical Severity in Frontotemporal Dementia: Proof-of-Concept Study.JMIR aging · 2024Article
- Study protocol for "In-vehicle sensors to detect changes in cognition of older drivers".BMC geriatrics · 2023Article
- Immediate word recall in cognitive assessment can predict dementia using machine learning techniques.Alzheimer's research & therapy · 2023Article
- Ensemble feature selection with data-driven thresholding for Alzheimer's disease biomarker discovery.BMC bioinformatics · 2023Article
- Lower extremities task of pressing an "accelerator" or a "brake": association with traffic accidents in older drivers - a preliminary study.Dementia & neuropsychologia · 2022Article
- Improving Our Understanding of Driving Changes in Preclinical and Early Symptomatic Alzheimer's Disease: The Role of Naturalistic Driving Studies.Journal of Alzheimer's disease reports · 2022Review
- Driving Performance in Older Adults: Current Measures, Findings, and Implications for Roadway Safety.Innovation in aging · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
Abstract
Emerging evidence suggests that atypical changes in driving behaviors may be early signals of mild cognitive impairment (MCI) and dementia. This study aims to assess the utility of naturalistic driving data and machine learning techniques in predicting incident MCI and dementia in older adults. Monthly driving data captured by in-vehicle recording devices for up to 45 months from 2977 participants of the Longitudinal Research on Aging Drivers study were processed to generate 29 variables measuring driving behaviors, space and performance. Incident MCI and dementia cases (n = 64) were ascertained from medical record reviews and annual interviews. Random forests were used to classify the participant MCI/dementia status during the follow-up. The F
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.