ArticlePloS one2015
Predicting Risk of Motor Vehicle Collisions in Patients with Glaucoma: A Longitudinal Study.
Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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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.
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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.
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Who cites it
13 citing papers in PubMed, 31 citations in OpenAlex.
- The association between self-checked visual field impairment and motor vehicle accidents among Japanese taxi drivers.Scientific reports · 2025Article
- Longitudinal Simulated Driving Performance and Rates of Progressive Visual Field Loss in Glaucoma.Translational vision science & technology · 2025Article
- Effects of driver compensatory behaviour on risks of critical pedestrian collisions under simulated visual field defects.PloS one · 2020Article
- The Impact of Visual Field Loss on Driving Skills: A Systematic Narrative Review.The British and Irish orthoptic journal · 2019Review
- Mobile Telephone Use and Reaction Time in Drivers With Glaucoma.JAMA network open · 2019Article
- Agreement of driving simulator and on-road driving performance in patients with binocular visual field loss.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2018Article
- Predicting Future Self-Reported Motor Vehicle Collisions in Subjects with Primary Open-Angle Glaucoma Using the Penalized Support Vector Machine Method.Translational vision science & technology · 2017Article
- Effect of Cognitive Demand on Functional Visual Field Performance in Senior Drivers with Glaucoma.Frontiers in aging neuroscience · 2017Article
- Glaucoma: the patient's perspective.The British journal of general practice : the journal of the Royal College of General Practitioners · 2016Article
- What rates of glaucoma progression are clinically significant?Expert review of ophthalmology · 2016Article
- Risk Factors for Motor Vehicle Collisions in Patients with Primary Open-Angle Glaucoma: A Multicenter Prospective Cohort Study.PloS one · 2016Article
- Impact of the Support, Educate, Empower Personalized Glaucoma Coaching Program Pilot Study on Eye Drop Instillation Technique and Self-Efficacy.Ophthalmology. GlaucomaArticle
- Glaucoma and Driving License: How to Identify Patients at Risk of Revocation.Journal of current glaucoma practiceArticle
Corrections and comments
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Authors and funding
7 authors at 5 institutions in 3 countries.
Funding
Abstract
purposeTo evaluate the ability of longitudinal Useful Field of View (UFOV) and simulated driving measurements to predict future occurrence of motor vehicle collision (MVC) in drivers with glaucoma.
designProspective observational cohort study.
participants117 drivers with glaucoma followed for an average of 2.1 ± 0.5 years.
methodsAll subjects had standard automated perimetry (SAP), UFOV, driving simulator, and cognitive assessment obtained at baseline and every 6 months during follow-up. The driving simulator evaluated reaction times to high and low contrast peripheral divided attention stimuli presented while negotiating a winding country road, with central driving task performance assessed as "curve coherence". Drivers with MVC during follow-up were identified from Department of Motor Vehicle records.
main outcome measuresSurvival models were used to evaluate the ability of driving simulator and UFOV to predict MVC over time, adjusting for potential confounding factors.
resultsMean age at baseline was 64.5 ± 12.6 years. 11 of 117 (9.4%) drivers had a MVC during follow-up. In the multivariable models, low contrast reaction time was significantly predictive of MVC, with a hazard ratio (HR) of 2.19 per 1 SD slower reaction time (95% CI, 1.30 to 3.69; P = 0.003). UFOV divided attention was also significantly predictive of MVC with a HR of 1.98 per 1 SD worse (95% CI, 1.10 to 3.57; P = 0.022). Global SAP visual field indices in the better or worse eye were not predictive of MVC. The longitudinal model including driving simulator performance was a better predictor of MVC compared to UFOV (R2 = 0.41 vs R2 = 0.18).
conclusionsLongitudinal divided attention metrics on the UFOV test and during simulated driving were significantly predictive of risk of MVC in glaucoma patients. These findings may help improve the understanding of factors associated with driving impairment related to glaucoma.
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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.