Evidence map›Paper›PMID 33946758›Full record

Observational studyInternational journal of environmental research and public health2021

Development of a Method to Potentially Substitute Direct Evaluation of Mesopic Visual Acuity in Drivers.

Marta Garcia-Rojo, Cristina Bonnin-Arias, Eva Chamorro, Cristina Alvarez-Peregrina, Celia Sanchez-Ramos

Abstract readObservational Study
In one paragraph

Observational study in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
  2. Article
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.

Marta Garcia-RojoOptometry and Vision Department, Facultad de Óptica y Optometría, Avda, Arcos de Jalón 118, 28037 Madrid, Spain.ORCID 0000-0003-1693-2948
Cristina Bonnin-AriasOptometry and Vision Department, Facultad de Óptica y Optometría, Avda, Arcos de Jalón 118, 28037 Madrid, Spain.
Eva ChamorroNeuro-Computing and Neuro-Robotics Research Group, Universidad Complutense de Madrid, Avda, Arcos de Jalón 118, 28037 Madrid, Spain.
Cristina Alvarez-PeregrinaFaculty of Biomedical and Health Sciences, Universidad Europea de Madrid, 28670 Madrid, Spain.ORCID 0000-0003-1097-4581
Celia Sanchez-RamosOptometry and Vision Department, Facultad de Óptica y Optometría, Avda, Arcos de Jalón 118, 28037 Madrid, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: In mesopic lighting conditions, or under adverse environmental circumstances, visual information is reduced, which increases the risk of traffic accidents. This effect could be reduced with a precise evaluation of the visual function under mesopic conditions, but it is difficult to replicate in clinics. This study aims to develop an easy-to-adopt method to evaluate mesopic visual acuity (VA) in drivers. (2) Methods: Prospective and observational study in drivers. logMAR mesopic VA was compared with photopic VA measured under different combinations of contrast charts and filters to find the combination that responds best to mesopic conditions. (3) Results: Fifty-six drivers were examined. The best correlation was found with an 80% density filter and a Weber contrast chart of 20%. The logMAR VA for this combination was 0.01 ± 0.11, which was close to the mesopic VA values (0.01 ± 0.12). The difference between both logMAR VA was 0.00 ± 0.06 (R = 0.86;

Indexed as

Mesopic VisionVision TestsContrast SensitivityHumansProspective StudiesVisual Acuityagingcontrastdriver behaviormesopic visual acuitynight drivingphotopic visual acuityvision

Identifiers

PMID33946758
PMCPMC8125333

What OpenQuestion holds

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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.