Evidence map›Paper›PMID 25346674›Full record

ArticleFrontiers in human neuroscience2014

A neuropsychological instrument measuring age-related cerebral decline in older drivers: development, reliability, and validity of MedDrive.

Paul Vaucher, Isabel Cardoso, Janet L Veldstra, Daniela Herzig, Michael Herzog, Patrice Mangin, Bernard Favrat

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in human neuroscience, 2014. 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
–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

5 citing papers in PubMed.

  1. Article
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  3. Review
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  5. 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

7 authors.

Paul VaucherUnit of Traffic Medicine and Psychology, University Center of Legal Medicine Lausanne-Geneva, University of Geneva Geneva, Switzerland.
Isabel CardosoUnit of Traffic Medicine and Psychology, University Center of Legal Medicine Lausanne-Geneva, Centre Hospitalier Universitaire Vaudois, University of Lausanne Lausanne, Switzerland.
Janet L VeldstraDepartment of Neuropsychology, University of Groningen Groningen, Netherlands.
Daniela HerzigUnit of Psychophysics, The Brain Mind Institute, École Polytechnique Fédérale de Lausanne Lausanne, Switzerland.
Michael HerzogUnit of Psychophysics, The Brain Mind Institute, École Polytechnique Fédérale de Lausanne Lausanne, Switzerland.
Patrice ManginUnit of Traffic Medicine and Psychology, University Center of Legal Medicine Lausanne-Geneva, University of Geneva Geneva, Switzerland ; Unit of Traffic Medicine and Psychology, University Center of Legal Medicine Lausanne-Geneva, Centre Hospitalier Universitaire Vaudois, University of Lausanne Lausanne, Switzerland.
Bernard FavratUnit of Traffic Medicine and Psychology, University Center of Legal Medicine Lausanne-Geneva, University of Geneva Geneva, Switzerland ; Unit of Traffic Medicine and Psychology, University Center of Legal Medicine Lausanne-Geneva, Centre Hospitalier Universitaire Vaudois, University of Lausanne Lausanne, Switzerland ; Department of Ambulatory Care and Community Medicine, Centre Hospitalier Universitaire Vaudois Lausanne, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When facing age-related cerebral decline, older adults are unequally affected by cognitive impairment without us knowing why. To explore underlying mechanisms and find possible solutions to maintain life-space mobility, there is a need for a standardized behavioral test that relates to behaviors in natural environments. The aim of the project described in this paper was therefore to provide a free, reliable, transparent, computer-based instrument capable of detecting age-related changes on visual processing and cortical functions for the purposes of research into human behavior in computational transportation science. After obtaining content validity, exploring psychometric properties of the developed tasks, we derived (Study 1) the scoring method for measuring cerebral decline on 106 older drivers aged ≥70 years attending a driving refresher course organized by the Swiss Automobile Association to test the instrument's validity against on-road driving performance (106 older drivers). We then validated the derived method on a new sample of 182 drivers (Study 2). We then measured the instrument's reliability having 17 healthy, young volunteers repeat all tests included in the instrument five times (Study 3) and explored the instrument's psychophysical underlying functions on 47 older drivers (Study 4). Finally, we tested the instrument's responsiveness to alcohol and effects on performance on a driving simulator in a randomized, double-blinded, placebo, crossover, dose-response, validation trial including 20 healthy, young volunteers (Study 5). The developed instrument revealed good psychometric properties related to processing speed. It was reliable (ICC = 0.853) and showed reasonable association to driving performance (R (2) = 0.053), and responded to blood alcohol concentrations of 0.5 g/L (p = 0.008). Our results suggest that MedDrive is capable of detecting age-related changes that affect processing speed. These changes nevertheless do not necessarily affect driving behavior.

Indexed as

agingcognitive declinemeasuring instrumentprocessing speedpsychometry

Identifiers

PMID25346674
PMCPMC4191221

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Registered trials

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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.