Evidence map›Paper›PMID 31897572›Full record

ArticlePsychopharmacology2020

Validating lane drifts as a predictive measure of drug or sleepiness induced driving impairment.

F R J Vinckenbosch, A Vermeeren, J C Verster, J G Ramaekers, E F Vuurman

Open access · hybridAbstract read
In one paragraph

Article in Psychopharmacology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

7 citing papers in PubMed, 25 citations in OpenAlex.

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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

5 authors at 2 institutions in 2 countries.

F R J VinckenboschDepartment of neuropsychology and psychopharmacology, Maastricht University, Maastricht, The Netherlands. f.vinckenbosch@maastrichtuniversity.nl.ORCID http://orcid.org/0000-0002-1767-7742
A VermeerenDepartment of neuropsychology and psychopharmacology, Maastricht University, Maastricht, The Netherlands.
J C VersterInstitute for Risk Assessment Sciences, Utrecht University, Utrecht, The Netherlands.
J G RamaekersDepartment of neuropsychology and psychopharmacology, Maastricht University, Maastricht, The Netherlands.
E F VuurmanDepartment of neuropsychology and psychopharmacology, Maastricht University, Maastricht, The Netherlands.
Maastricht University · NLUtrecht University · NL

Funding

Maastricht University N/A
6 · The paper itself

Abstract

backgroundStandard deviation of lateral position (SDLP) has been accepted as a reliable parameter for measuring driving impairment due to lowered vigilance caused by sleepiness or the use of sedating drugs. Recently, lane drifts were proposed as an additional outcome measure quantifying momentary lapses of attention. The purpose of this study was to validate lane drifts as outcome measure of driver impairment in a large data pool from two independent research centers.

methodsData from 11 placebo-controlled studies that assessed the impact of alcohol, hypnotics, and sleep deprivation on actual driving performance were pooled. In total, 717 on-the-road tests performed by 315 drivers were subjected to an automated algorithm to detect occurrences of lane drifts. Lane drifts were defined as deviations > 100 cm from the mean (LD

resultsThe number of LD

conclusionLD

Indexed as

AdultAlcohol DrinkingAttentionAutomobile DrivingDriving Under the InfluenceEthanolFemaleForecastingHumansHypnotics and SedativesMalePsychomotor PerformanceReproducibility of ResultsSleep DeprivationWakefulnessEthanolHypnotics and SedativesDrugsLane driftsLapses of attentionOn-the-road drivingSDLP

Identifiers

PMID31897572
PMCPMC7036056
OpenAlexW2997631764

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.