Evidence map›Paper›PMID 31106494›Full record

ArticleAddiction (Abingdon, England)2019

Cannabis use as a risk factor for causing motor vehicle crashes: a prospective study.

Jeffrey R Brubacher, Herbert Chan, Shannon Erdelyi, Scott Macdonald, Mark Asbridge, Robert E Mann, Jeffrey Eppler, Adam Lund, Andrew MacPherson, Walter Martz and 3 more

Abstract read
In one paragraph

Article in Addiction (Abingdon, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 2 pooled it
–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

34 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Cannabis Use and Car Crashes: A Review.Frontiers in psychiatry · 2021
    Pooled it
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  8. Review
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  12. Observational
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  14. Why are the police against drug policy liberalisation?Nordisk alkohol- & narkotikatidskrift : NAT · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors.

Jeffrey R BrubacherVancouver General Hospital and University of British Columbia, Vancouver, BC, Canada.ORCID 0000-0002-4866-4231
Herbert ChanUniversity of British Columbia, Vancouver, BC, Canada.
Shannon ErdelyiUniversity of British Columbia, Vancouver, BC, Canada.
Scott MacdonaldUniversity of Victoria, Victoria, BC, Canada.
Mark AsbridgeDalhousie University, Halifax, Nova Scotia, Canada.
Robert E MannCentre for Addiction and Mental Health, Toronto and University of Toronto, Toronto, Ontario, Canada.
Jeffrey EpplerKelowna General Hospital and University of British Columbia, Kelowna, BC, Canada.
Adam LundRoyal Columbian Hospital and University of British Columbia, New Westminster, BC, Canada.
Andrew MacPhersonVictoria General Hospital and University of British Columbia, Victoria, BC, Canada.
Walter MartzInstitute of Forensic Medicine, Justus Liebig University, Giessen, Germany.
William E SchreiberUniversity of British Columbia, Vancouver, BC, Canada.
Rollin BrantUniversity of British Columbia, Vancouver, BC, Canada.
Roy A PurssellUniversity of British Columbia, Vancouver, BC, Canada.

Funding

CIHR MOP-111002
6 · The paper itself

Abstract

aimWe conducted a responsibility analysis to determine whether drivers injured in motor vehicle collisions who test positive for Δ-9-tetrahydrocannabinol (THC) or other drugs are more likely to have contributed to the crash than those who test negative.

designProspective case-control study.

settingTrauma centres in British Columbia, Canada.

participantsInjured drivers who required blood tests for clinical purposes following a motor vehicle collision. MEASUREMENTS: Excess whole blood remaining after clinical use was obtained and broad-spectrum toxicology testing performed. The analysis quantified alcohol and THC and gave semiquantitative levels of other impairing drugs and medications. Police crash reports were analysed to determine which drivers contributed to the crash (responsible) and which were 'innocently involved' (non-responsible). We used unconditional logistic regression to determine the likelihood (odds ratio: OR) of crash responsibility in drivers with 0 < THC < 2 ng/ml, 2 ng/ml ≤ THC < 5 ng/ml and THC ≥ 5 ng/ml (all versus THC = 0 ng/ml). Risk estimates were adjusted for age, sex and presence of other impairing substances.

findingsWe obtained toxicology results on 3005 injured drivers and police reports on 2318. Alcohol was detected in 14.4% of drivers, THC in 8.3%, other drugs in 8.9% and sedating medications in 19.8%. There was no increased risk of crash responsibility in drivers with THC < 2 ng/ml or 2 ≤ THC < 5 ng/ml. In drivers with THC ≥ 5 ng/ml, the adjusted OR was 1.74 [95% confidence interval (CI) = 0.59-6.36; P = 0.35]. There was significantly increased risk of crash responsibility in drivers with blood alcohol concentration (BAC) ≥ 0.08% (OR = 6.00;95% CI = 3.87-9.75; P < 0.01), other recreational drugs detected (OR = 1.82;95% CI = 1.21-2.80; P < 0.01) or sedating medications detected (OR = 1.45; 95%CI = 1.11-1.91; P < 0.01).

conclusionsIn this sample of non-fatally injured motor vehicle drivers in British Columbia, Canada, there was no evidence of increased crash risk in drivers with Δ-9-tetrahydrocannabinol < 5 ng/ml and a statistically non-significant increased risk of crash responsibility (odds ratio = 1.74) in drivers with Δ-9-tetrahydrocannabinol ≥ 5 ng/ml.

Indexed as

Driving Under the InfluenceAccidents, TrafficAdolescentAdultAgedAged, 80 and overAlcohol DrinkingBlood Alcohol ContentBritish ColumbiaCase-Control StudiesDronabinolFemaleHumansHypnotics and SedativesLogistic ModelsMaleBlood Alcohol ContentDronabinolHypnotics and SedativesAlcoholcannabisdrugsmotor vehicle crashper se limitstetrahydrocannabinol

Identifiers

PMID31106494
PMCPMC6771478

What OpenQuestion holds

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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.