Evidence map›Paper›PMID 26979111›Full record

ArticleBMC research notes2016

Medication use and the risk of motor vehicle collision in West Virginia drivers 65 years of age and older: a case-crossover study.

Toni M Rudisill, Motao Zhu, Danielle Davidov, D Leann Long, Usha Sambamoorthi, Marie Abate, Vincent Delagarza

Abstract read
In one paragraph

Article in BMC research notes, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Opioid Use and Driving Performance.Journal of medical toxicology : official journal of the American College of Medical Toxicology · 2021
    Review
  3. Age-Related Diseases and Driving Safety.Geriatrics (Basel, Switzerland) · 2020
    Review
  4. Article
  5. Article
  6. 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.

Toni M RudisillDepartment of Epidemiology, West Virginia University, PO BOX 9151, Morgantown, WV, 26506, USA.
Motao ZhuDepartment of Epidemiology, West Virginia University, PO BOX 9151, Morgantown, WV, 26506, USA. mozhu@hsc.wvu.edu.
Danielle DavidovDepartments of Emergency Medicine and Social and Behavioral Sciences, West Virginia University, PO BOX 9151, Morgantown, WV, 26506, USA.
D Leann LongDepartment of Biostatistics, West Virginia University, PO BOX 9151, Morgantown, WV, 26506, USA.
Usha SambamoorthiDepartment of Pharmaceutical Systems and Policy, West Virginia University, PO BOX 9510, Morgantown, WV, 26506, USA.
Marie AbateSchool of Pharmacy, West Virginia University, PO BOX 9520, Morgantown, WV, USA.
Vincent DelagarzaSchool of Medicine, West Virginia University, PO BOX 8059, Morgantown, WV, 26506, USA.

Funding

West Virginia IDEA-CTRU54GM104942 · NIGMS · WEST VIRGINIA UNIVERSITY · PI Sally Lynn Hodder · 2012 to 2026
$81.0M
West Virginia University Injury Control Research CenterR49CE002109 · CE · WEST VIRGINIA UNIVERSITY · PI BOSSARTE, ROBERT M · 2012 to 2018
$5.7M
Do Cell Phone Laws Reducing Calling, Texting, and Crashes Among Young DriversR01HD074594 · NICHD · WEST VIRGINIA UNIVERSITY · PI ZHU, MOTAO · 2013 to 2021
$2.0M
Licensing Laws, Mobility, and Traffic Safety among Older AdultsR01AG050581 · NIA · WEST VIRGINIA UNIVERSITY · PI ZHU, MOTAO · 2015 to 2019
$1.0M
A Phone App to Reduce Cell Phone Usage among Young Drivers: a Pilot StudyR21HD085122 · NICHD · WEST VIRGINIA UNIVERSITY · PI ZHU, MOTAO · 2015 to 2016
$373k
Does Graduated Driver Licensing Produce Safer Teenage DriversR21CE001820 · CE · WEST VIRGINIA UNIVERSITY · PI ZHU, MOTAO · 2010 to 2011
$341k
NCIPC CDC HHS R21 CE001820NCIPC CDC HHS R21CE001820NCIPC CDC HHS R49 CE002109NCIPC CDC HHS R49CE002109NIA NIH HHS R01 AG050581NICHD NIH HHS R01 HD074594NICHD NIH HHS R01HD074594NICHD NIH HHS R21 HD085122NIGMS NIH HHS U54 GM104942NIGMS NIH HHS U54GM104942
6 · The paper itself

Abstract

backgroundThe current generation of older adults reports a higher lifetime prevalence of prescription, over-the-counter, and recreational drug use. The purpose of this analysis is to characterize the drug usage and determine the risk of motor vehicle collision associated with individual medications in a population of drivers ≥ 65 years.

methodsA case-crossover study was conducted at West Virginia University Healthcare's facilities using data obtained from the electronic health records (n = 611) of drivers ≥ 65 years admitted for medical treatment following a motor vehicle collision which occurred between Jan. 1, 2009 and June 30, 2014. Patients' medication usage 14 days before collision were matched and compared to their medication usage during four control periods prior to collision. Odds ratios were then calculated for the most prevalent individual medications and pharmaceutical sub-classes using conditional logistic regression.

resultsAnalgesic, cardiovascular and gastrointestinal medicines were common. Few drivers tested positive for either licit or illicit drugs. Of those testing positive for drugs, benzodiazepines and opiates were prevalent. Drivers consuming Tramadol (adjusted OR 11.41; 95% CI 1.27, 102.15) were at a significantly increased risk of motor vehicle collision.

conclusionsOlder adult drivers who have a prescription for this medication may need to be aware of the potential risk. Further research is necessary in a larger, more nationally representative population.

Indexed as

Motor VehiclesAccidents, TrafficAgedAutomobile DrivingCase-Control StudiesCross-Over StudiesDemographyDrug UsersFemaleHospitalizationHumansMaleWest VirginiaAged adultAutomobile drivingNonprescription drugsPrescription drugsRiskTraffic accidents

Identifiers

PMID26979111
PMCPMC4791935

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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.