Evidence map›Paper›PMID 22725100›Full record

ArticleAddiction (Abingdon, England)2013

Prevalence of alcohol and other drugs in fatally injured drivers.

Joanne E Brady, Guohua Li

Open access · greenAbstract read
In one paragraph

Article in Addiction (Abingdon, England), 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 1 pooled it
23.1field-weighted citation impact, top 1% 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

31 citing papers in PubMed, 1 synthesis or guideline pooled it, 92 citations in OpenAlex.

  1. Pooled it
  2. Trial
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  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Do opioid prescriptions lead to fatal car crashes?American journal of health economics · 2022
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  11. Risk factors associated with driving under the influence of drugs in the USA.Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention · 2021
    Article
  12. Article
  13. Article
  14. Article
  15. Cannabinoid CBActa pharmacologica Sinica · 2019
    Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

2 authors at 1 institution in 1 country.

Joanne E BradyDepartment of Anesthesiology, Columbia University College of Physicians and Surgeons, New York, NY, USA.
Guohua Li
Columbia University · US

Funding

Alcohol in Aviation and Motor CarriersR01AA009963 · NIAAA · JOHNS HOPKINS UNIVERSITY · PI LI, GUOHUA · 1999 to 2010
$2.3M
Effectiveness of Mandatory Prescription Drug MonitoringR21DA029670 · NIDA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI LI, GUOHUA · 2011 to 2012
$418k
ALCOHOL AND BICYCLING INJURIESR29AA009963 · NIAAA · JOHNS HOPKINS UNIVERSITY · PI LI, GUOHUA · 1994 to 1998
–
NIAAA NIH HHS AA009963NIAAA NIH HHS R01 AA009963NIDA NIH HHS DA029670NIDA NIH HHS R21 DA029670
6 · The paper itself

Abstract

aimThis study aims to examine the prevalence of alcohol and/or other drugs (AOD) in a large sample of fatally injured drivers.

designUsing data from the Fatality Analysis Reporting System for 2005-09, the authors examined the prevalence of AOD detected in fatally injured drivers in the United States.

settingFatal motor vehicle crashes occurring on public roads.

participantsDrivers who died within 1 hour of the crash in 14 states that performed toxicological testing on more than 80% of these drivers. MEASUREMENTS: The prevalence of AOD and multivariable-adjusted prevalence ratios (aPR).

findingsOf the 20,150 fatally injured drivers studied, 57.3% tested positive for AOD, including 19.9% being positive for two or more substances. Alcohol was the most commonly detected substance, present in 40.2% of the fatally injured drivers, followed by cannabinols (10.5%), stimulants (9.0%), narcotics (5.7%) and depressants (4.0%). Multivariable analysis revealed that AOD was significantly more prevalent among drivers who died in single-vehicle crashes [aPR 1.69, 95% confidence interval (CI): 1.62-1.76] or night-time crashes (aPR 1.43, 95% CI: 1.39-1.47), or who had a driving-while-intoxicated conviction within the past 3 years (aPR 1.41, 95% CI: 1.35-1.47), and less prevalent among drivers who were 65 years or older (aPR 0.45, 95% CI: 0.42-0.49), Asian (aPR 0.47, 95% CI 0.41-0.53) or female (aPR 0.88, 95% CI: 0.85-0.91) or who were operating a motor carrier (aPR 0.41, 95% CI 0.34-0.48).

conclusionsMore than half of fatally injured drivers in the United States had been using AOD and approximately 20% had been using polydrugs. The prevalence of AOD use varies significantly with driver and crash characteristics.

Indexed as

Accidents, TrafficAdolescentAdultAgedAge DistributionAlcohol DrinkingAutomobile DrivingFemaleHumansMaleMiddle AgedPrevalenceSubstance-Related DisordersTime FactorsUnited StatesYoung Adult

Identifiers

PMID22725100
PMCPMC3467360
OpenAlexW1555097425

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.