Evidence map›Paper›PMID 32104782›Full record

ArticleJournal of Alzheimer's disease reports2020

Driving Safety of Cognitively-Impaired Drivers Based on Near Collisions in Naturalistic Driving.

Mojtaba Moharrer, Shuhang Wang, Jennifer D Davis, Brian R Ott, Gang Luo

Open access · diamondAbstract read
In one paragraph

Article in Journal of Alzheimer's disease reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 2 pooled it
4.5field-weighted citation impact, top 6% 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

8 citing papers in PubMed, 2 syntheses or guidelines pooled it, 15 citations in OpenAlex.

  1. Pooled it
  2. [Current Evidence for Assessing Fitness to Drive of People with Cognitive Impairment: A Systematic Review].Gesundheitswesen (Bundesverband der Arzte des Offentlichen Gesundheitsdienstes (Germany)) · 2023
    Pooled it
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  7. Review
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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 1 country.

Mojtaba MoharrerSchepens Eye Research Institute, Mass Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA, USA.
Shuhang WangSchepens Eye Research Institute, Mass Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA, USA.
Jennifer D DavisDepartment of Psychiatry & Human Behavior, Alpert Medical School of Brown University, Providence, RI, USA.
Brian R OttAlzheimer's Disease and Memory Disorders Center, Rhode Island Hospital, Providence, RI, USA.
Gang LuoSchepens Eye Research Institute, Mass Eye and Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA, USA.
Massachusetts Eye and Ear Infirmary · USBrown University · US

Funding

Secondary Analyses and Archive of Naturalistic Driving Data in Aging and DementiaR03AG046472 · NIA · RHODE ISLAND HOSPITAL · PI LUO, GANG, OTT, BRIAN R · 2014 to 2014
$192k
NIA NIH HHS R03 AG046472
6 · The paper itself

Abstract

backgroundControlled naturalistic driving for examining impacts of cognitive impairment on driving safety is rare.

objectiveEvaluating the safety among drivers with mild cognitive impairment based on near collision incidents using naturalistic driving, and investigating its correlation with cognitive measures.

methodsFrequency of near collisions of 44 cognitively impaired [Age = 75.1(±6.7), MMSE = 25.5(±2.5)] and 19 control group drivers [Age = 72.5(±7.8), MMSE = 29.3(±0.8)] were obtained from two weeks of recorded driving. Survival time free of predicted collision based on a previously established near-collision to collision estimate ratio of 11 : 1, for 140 hours of driving exposure was calculated. Participants were also tested using Mini-Mental Status Examination (MMSE), Trail A, and Trail B. Spearman correlation and Cox survival analysis were conducted.

resultsNear collision frequency per driving hour was correlated with MMSE (

conclusionThe association between driving critical events and cognitive measures suggests that some drivers with mild cognitive impairment might have an elevated driving collision risk compared to control drivers. Standard clinical cognitive measures may be reasonable predictors.

Indexed as

Cognitive impairmentdrivingnaturalistic drivingnear collisionsurrogate measure

Identifiers

PMID32104782
PMCPMC7029310
OpenAlexW2996414764

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.