Evidence map›Paper›PMID 33975421›Full record

ArticleAnnals of geriatric medicine and research2021

Functional Assessment of Driving Capacity of Older Drivers Compared with Non-older Drivers Using Clinical Evaluations and Driving Simulations.

Sang Chul Kim, So Yeon Kong, Sang-Yong Eom, Byongho Choe, Seung Jun Hong

Open access · diamondAbstract read
In one paragraph

Article in Annals of geriatric medicine and research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

0 citing papers in PubMed, 5 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 4 institutions in 2 countries.

Sang Chul KimDepartment of Emergency Medicine, Chungbuk National University College of Medicine, Cheongju, Korea.
So Yeon KongStrategic Research, Laerdal Medical, Stavanger, Norway.
Sang-Yong EomDepartment of Preventive Medicine, Chungbuk National University College of Medicine, Cheongju, Korea.
Byongho ChoeKorea Transportation Safety Authority, Hwaseong, Korea.
Seung Jun HongDepartment of Smart Mechanical Automotive Engineering, Changwon Moonsung University, Changwon, Korea.
Chungbuk National University · KRChangwon National University · KRKorea Transport Institute · KRLaerdal (Norway) · NO

Funding

Korea Transportation Safety Authority KOTSA-2019-05
6 · The paper itself

Abstract

backgroundThis study used various tools, including a self-assessment questionnaire, the Clinical Assessment of Driver-Related Skills (CADReS), and a driving simulation, to discriminate between older and non-older drivers.

methodsWe evaluated driving habits, driving-related health behaviors, and morbidities using a self-assessment questionnaire and examined visual, motor, and cognitive functions using the CADReS and a vehicle simulator of four junction scenarios that are typical of accidents involving older drivers. The areas under the receiver operating characteristic curves (AUCs) were calculated to compare the age-related discriminating ability of these tools between older (≥65 years) and non-older participants.

resultsThirty of the 40 participants (75%) were older. Older drivers were slower than non-older drivers according to the rapid walking pace (8.0 vs. 6.1 seconds), and their cognitive function was poorer based on the trail-making test (117 vs. 51 seconds). While driving on the vehicle simulator, the rate of violating traffic rules was higher and the maximal velocity was slower in the older group than in the non-older group. The AUC values for CADReS and driving simulation outcomes ranged from 0.59 to 0.95, while the rapid walking pace, trail-making test, and velocity of the left turn at an acute junction in the dark showed high discriminatory power (AUC>0.9).

conclusionsThe rapid walking pace and trail-making test in CADReS, as well as the driving simulation, were useful tools to discriminate between older and non-older drivers.

Indexed as

AgedAutomobile drivingCognitionMotor capacitySimulation training

Identifiers

PMID33975421
PMCPMC8272994
OpenAlexW3163944238

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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.