Evidence map›Paper›PMID 30466207›Full record

ArticlePsychiatry investigation2018

Subcortical Ischemic Change as a Predictor of Driving Cessation in the Elderly.

Mi Jang, Chang Hyung Hong, Hyun-Chung Kim, Seong Hye Choi, Sang Won Seo, Seong Yoon Kim, Duk L Na, Yunhwan Lee, Ki Jung Chang, Hyun Woong Roh and 1 more

Open access · diamondAbstract read
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Article in Psychiatry investigation, 2018. 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
1.5field-weighted citation impact, top 14% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

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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

11 authors at 6 institutions in 1 country.

Mi JangDepartment of General Psychiatry, National Center for Mental Health, Seoul, Republic of Korea.
Chang Hyung HongDepartment of Psychiatry, Ajou University School of Medicine, Suwon, Republic of Korea.
Hyun-Chung KimDepartment of Psychiatry, National Medical Center of Korea, Seoul, Republic of Korea.
Seong Hye ChoiDepartment of Neurology, Inha University College of Medicine, Incheon, Republic of Korea.
Sang Won SeoDepartment of Neurology, Samsung Medical Center, Seoul, Republic of Korea.
Seong Yoon KimDepartment of Psychiatry, Asan Medical Center, Seoul, Republic of Korea.
Duk L NaDepartment of Neurology, Samsung Medical Center, Seoul, Republic of Korea.
Yunhwan LeeDepartment of Preventive Medicine and Public Health, Ajou University School of Medicine, Suwon, Republic of Korea.
Ki Jung ChangDepartment of Psychiatry, Ajou Good Hospital, Suwon, Republic of Korea.
Hyun Woong RohDepartment of Brain Science, Ajou University School of Medicine, Suwon, Republic of Korea.
Sang Joon SonDepartment of Psychiatry, Ajou University School of Medicine, Suwon, Republic of Korea.
Ajou University · KRSamsung Medical Center · KRAjou University Hospital · KRAsan Medical Center · KRInha University · KRNational Medical Center · KR

Funding

Ministry of Health and Welfare HI10C2020Ministry of Health and Welfare HI15C0995
6 · The paper itself

Abstract

objectiveMotor, perceptual, and cognitive functions are known to affect driving competence. Subcortical ischemic changes on brain magnetic resonance imaging (MRI) can reflect reduction in cognitive and motor performance. However, few studies have reported the relationship between subcortical ischemic changes and driving competence of the elderly. Thus, the objective of this study was to investigate the association between subcortical ischemic changes on MRI and driving abilities of the elderly.

methodsParticipants (n=540) were drawn from a nationwide, multicenter, hospital-based, longitudinal cohort. Each participant underwent MRI scan and interview for driving capacity categorized into 'now driving' and 'driving cessation (driven before, not driving now)'. Participants were divided into three groups (mild, n=389; moderate, n=116; and severe, n=35) depending on the degree of white matter hyperintensity (WMH) on MRI at baseline. Driving status was evaluated at follow-up. Statistical analyses were conducted using χ2 test, analysis of variance (ANOVA), structured equation model (SEM), and generalized estimating equation (GEE).

resultsIn SEM, greater baseline degree of WMH was directly associated with driving cessation regardless of cognitive or motor dysfunction (β=-0.110, p<0.001). In GEE models after controlling for age, sex, education, cognitive, and motor dysfunction, more severe change in the degree of WMH was associated with faster change from 'now driving' state to 'driving cessation' state over time in the elderly (β=-0.508, p<0.001).

conclusionIn both cross-sectional and longitudinal results, the degree of subcortical ischemic change on MRI might predict driving cessation in the elderly.

Indexed as

DrivingSubcortical ischemic change

Identifiers

PMID30466207
PMCPMC6318496
OpenAlexW2901274174

What OpenQuestion holds

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LicenceCC BY-NC
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.