Evidence map›Paper›PMID 25724982›Full record

ArticleBMJ open2015

An assessment of driving fitness in patients with visual impairment to understand the elevated risk of motor vehicle accidents.

Shiho Kunimatsu-Sanuki, Aiko Iwase, Makoto Araie, Yuki Aoki, Takeshi Hara, Toru Nakazawa, Takuhiro Yamaguchi, Hiroshi Ono, Tomoyuki Sanuki, Makoto Itoh

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
14.3field-weighted citation impact, top 1% 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

20 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
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  4. Influence of Vision on Drivers: A Pilot Study.International journal of environmental research and public health · 2021
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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

10 authors at 7 institutions in 1 country.

Shiho Kunimatsu-SanukiDepartment of Ophthalmology, Tohoku University Graduate School of Medicine, Miyagi, Japan Department of Ophthalmology, Jichi Medical University, Tochigi, Japan.
Aiko IwaseTajimi Iwase Eye Clinic, Gifu, Japan.
Makoto AraieKanto Central Hospital of the Mutual Aid Association of Public School Teachers, Tokyo, Japan.
Yuki AokiDepartment of Ophthalmology, Jichi Medical University, Tochigi, Japan.
Takeshi HaraDepartment of Ophthalmology, Jichi Medical University, Tochigi, Japan Hara Eye Hospital, Tochigi, Japan.
Toru NakazawaDepartment of Ophthalmology, Tohoku University Graduate School of Medicine, Miyagi, Japan.
Takuhiro YamaguchiDivision of Biostatistics, Tohoku University Graduate School of Medicine, Miyagi, Japan.
Hiroshi OnoHonda Motor Co., Tokyo, Japan.
Tomoyuki SanukiDepartment of Physics, Tohoku University, Miyagi, Japan.
Makoto ItohDepartment of Risk Engineering, SIE, University of Tsukuba, Ibaraki, Japan.
Tohoku University · JPGifu Prefectural Tajimi Hospital · JPHara Eye Hospital · JPHonda (Japan) · JPJichi Medical University · JPKanto Central Hospital · JPUniversity of Tsukuba · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo assess the driving fitness of patients with glaucoma by identifying specific areas and degrees of visual field impairment that threaten safe driving.

designCase-control study. SETTING, AND

participantsThis prospective study included 36 patients with advanced glaucoma, defined as Humphrey field analyzer (HFA; 24-2 SITA standard program) measurements of mean deviation in both eyes of worse than -12 dB, and 36 age-matched and driving exposure time-matched normal subjects. All participants underwent testing in a novel driving simulator (DS) system. Participants were recruited between September 2010 and January 2012.

main outcome measuresThe number of collisions with simulated hazards and braking response time in 14 DS scenarios was recorded. Monocular HFA 24-2 test results from both eyes were merged to calculate the binocular integrated visual field (IVF). The position of the IVF subfields in which the collision-involved patients had lower sensitivity than the collision-uninvolved patients was compared with the track of the hazard. The cut-off value to predict an elevated risk of collisions was determined, as were its sensitivity and specificity, with the area under the receiver operating characteristic (AUROC) curve.

resultsPatients with advanced glaucoma were involved in a significantly higher number of collisions in the DS than the age-matched and driving exposure time-matched normal subjects (119 vs 40, respectively, p<0.0001), especially in four specific DS scenarios. In these four scenarios, IVF sensitivity was significantly lower in the collision-involved patients than in the collision-uninvolved patients in subfields on or near the track of the simulated hazard (p<0.05). The subfields with the largest AUROC curve had values ranging from 0.72 to 0.91 and were located in the paracentral visual field just below the horizontal.

conclusionsOur novel DS system effectively assessed visual impairment, showing that simulators may have future potential in educating patients.

Indexed as

Computer SimulationAccidents, TrafficAgedArea Under CurveAutomobile DrivingCase-Control StudiesFemaleGlaucomaHumansLicensureMaleMiddle AgedOutcome Assessment, Health CareProspective StudiesPsychomotor PerformanceReaction Timedriving fitnessvisual impairment

Identifiers

PMID25724982
PMCPMC4346674
OpenAlexW2043215137

What OpenQuestion holds

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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.