SynthesisBMJ open2023
Associations between vision impairment and vision-related interventions on crash risk and driving cessation: systematic review and meta-analysis.
Synthesis in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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
5 citing papers in PubMed, 5 citations in OpenAlex.
- Risk-Stratified Interventional Management and Surgical Decision-Making in Primary Glaucoma.Biomedicines · 2026Review
- Visual field assessment and driving licence eligibility in India: A hospital-based cross-sectional study.Indian journal of ophthalmology · 2026Observational
- Clinical Validation of a Comprehensive Vision Screener for Assessing Visual Fitness for Drivers in Mumbai, India.Clinical optometry · 2026Article
- The Royal College of Ophthalmologists' National Ophthalmology Database study of cataract surgery: report 20, the hidden cost of intraocular lens choices for National Health Service funded cataract surgery in England.Eye (London, England) · 2025Article
- Validation of the European visual field standards for driving: A driving simulator-based study.Acta ophthalmologica · 2025Article
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 at 9 institutions in 7 countries.
Funding
Abstract
objectivesTo systematically investigate the associations between vision impairment and risk of motor vehicle crash (MVC) involvement, and evaluate vision-related interventions to reduce MVCs.
designMedline (Ovid), EMBASE and Global Health electronic databases were systematically searched from inception to March 2022 for observational and interventional English-language studies. Screening, data extraction and appraisals using the Joanna Briggs Institute appraisal tools were completed by two reviewers independently. Where appropriate, measures of association were converted into risk ratios (RRs) or ORs for meta-analysis.
participantsDrivers of four-wheeled vehicles of all ages with no cognitive declines. PRIMARY AND SECONDARY OUTCOMES: MVC involvement (primary) and driving cessation (secondary).
results101 studies (n=778 052) were included after full-text review. 57 studies only involved older drivers (≥65 years) and 85 were in high-income settings. Heterogeneity in the data meant that most meta-analyses were underpowered as only 25 studies, further split into different groups of eye diseases and measures of vision, could be meta-analysed. The limited evidence from the meta-analyses suggests that visual field defects (four studies; RR 1.51 (95% CI 1.23, 1.85); p<0.001; I
conclusionImpaired vision identified through a variety of measures is associated with both increased MVC involvement and cessation. Cataract surgery can reduce MVC risk. Despite literature being highly heterogeneous, this review shows that detection of vision problems and appropriate treatment are critical to road safety. PROSPERO REGISTRATION NUMBER: CRD42020172153.
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.