Literature DB >> 29882551

Corrigendum: The Association of Unfavorable Traffic Events and Cannabis Usage: A Meta-Analysis.

Sorin Hostiuc1, Alin Moldoveanu2, Ionuţ Negoi3, Eduard Drima4,5.   

Abstract

[This corrects the article on p. 99 in vol. 9, PMID: 29487531.].

Entities:  

Keywords:  cannabis; collision; death; driving under the influence of cannabis; injury; inverse variance heterogeneity

Year:  2018        PMID: 29882551      PMCID: PMC5989488          DOI: 10.3389/fphar.2018.00564

Source DB:  PubMed          Journal:  Front Pharmacol        ISSN: 1663-9812            Impact factor:   5.810


In the results section, in the subchapter “Driving under the influence of Cannabis-Blood Analysis,” there was an error in the submitted manuscript. The error consisted in the presence of an additional reference in the studies included in the analysis, and the lack of two references from the studies included in the analysis. The overall results are very similar and do not change the scientific conclusions of the article in any way. The correct text for this subchapter, including all corrections (in bold), is: “Ten studies included data that allowed us to reconstruct a proper methodological blood analysis of the samples taken from drivers (Longo et al., ; Movig et al., 2004; Laumon et al., 2005; Mura et al., 2006; Gmel et al., 2009; Gjerde et al., 2011; Kuypers et al., 2012; Hels et al., 2013; Li et al., ; Asbridge et al., 2014). By including them in the analysis, we found a modest increase in the OR to 1.97, CI = (1.35–2.87), with a PI of 0.59–6.49 (Figure 5). The effect size difference between the values obtained for “DUIC-unadjusted” and “DUIC–blood analysis” was not statistically significant (Zdiff = −0.19, p = 0.84). The Rosenthal fail-safe N had a Z-score 3.18 (p < 0.001), suggesting that there should be added 171 missing studies to bring the p-value over alpha (1.96). The Duval and Tweedie's Trim and Fill method did not adjust the OR (no studies were trimmed). The effect size, as computed using the IVhet method, was 2.01 (1.23–3.29).”
Figure 5

Forrest plot. Studies that estimated DUIC through blood analysis (RE Model).

2. Additionally, due to the above-mentioned error, a few other small changes were made, namely: a. In the Abstract, Results, line 3, instead of “ with an odds ratio (OR) of 2.27 and a confidence interval (CI) between 1.36 and 3.80” should read: “with an odds ratio (OR) of 1.97 and a confidence interval (CI) between 1.35 and 2.87” b. In the Results chapter, the subchapter “DUIC through self-reports”, instead of “The effect size difference between DUIC–blood analyses and DUIC through self-reports was not statistically significant (diff = −0.58, = 0.56)” should read: “The effect size difference between DUIC–blood analyses and DUIC through self-reports was not statistically significant (diff = −0.05, = 0.95)” 3. Figure 5 from the article is not correct, it is a duplicate of Figure 8. The original of Figure 5 was inserted in the final version of the manuscript sent to reviewers. Attached is the correct figure, with the changes made to point 1. 4. Additionally, some readers were unclear why were some articles removed from our analysis. We have specified the fact that two articles were removed due to multiple publication bias in the materials and methods section. However, to be clearer, we would like to add another sentence in the Results section/Search synthesis, namely: “If two articles contained overlapping data, the newest article was removed from the analysis.” 5. In the Materials and Methods chapter, subchapter The Risk of Bias, line 4, instead of “and selection bias” should read “sampling bias.” Forrest plot. Studies that estimated DUIC through blood analysis (RE Model). The authors apologize for these mistakes. These errors does not change the scientific conclusions of the article in any way. The original article has been updated.

Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
  10 in total

1.  The prevalence of alcohol, cannabinoids, benzodiazepines and stimulants amongst injured drivers and their role in driver culpability: part ii: the relationship between drug prevalence and drug concentration, and driver culpability.

Authors:  M C Longo; C E Hunter; R J Lokan; J M White; M A White
Journal:  Accid Anal Prev       Date:  2000-09

2.  Psychoactive substance use and the risk of motor vehicle accidents.

Authors:  K L L Movig; M P M Mathijssen; P H A Nagel; T van Egmond; J J de Gier; H G M Leufkens; A C G Egberts
Journal:  Accid Anal Prev       Date:  2004-07

3.  Cannabis intoxication and fatal road crashes in France: population based case-control study.

Authors:  Bernard Laumon; Blandine Gadegbeku; Jean-Louis Martin; Marie-Berthe Biecheler
Journal:  BMJ       Date:  2005-12-01

4.  Risk of severe driver injury by driving with psychoactive substances.

Authors:  Tove Hels; Allan Lyckegaard; Kirsten Wiese Simonsen; Anni Steentoft; Inger Marie Bernhoft
Journal:  Accid Anal Prev       Date:  2013-06-08

5.  Cannabis and traffic collision risk: findings from a case-crossover study of injured drivers presenting to emergency departments.

Authors:  Mark Asbridge; Robert Mann; Michael D Cusimano; Cynthia Trayling; Michael Roerecke; John M Tallon; Alyce Whipp; Jürgen Rehm
Journal:  Int J Public Health       Date:  2013-09-24       Impact factor: 3.380

6.  Alcohol, psychoactive drugs and fatal road traffic accidents in Norway: a case-control study.

Authors:  Hallvard Gjerde; Per T Normann; Asbjørg S Christophersen; Sven Ove Samuelsen; Jørg Mørland
Journal:  Accid Anal Prev       Date:  2011-01-21

7.  Drug use and fatal motor vehicle crashes: a case-control study.

Authors:  Guohua Li; Joanne E Brady; Qixuan Chen
Journal:  Accid Anal Prev       Date:  2013-09-08

8.  Use of drugs of abuse in less than 30-year-old drivers killed in a road crash in France: a spectacular increase for cannabis, cocaine and amphetamines.

Authors:  P Mura; C Chatelain; V Dumestre; J M Gaulier; M H Ghysel; C Lacroix; M F Kergueris; M Lhermitte; M Moulsma; G Pépin; F Vincent; P Kintz
Journal:  Forensic Sci Int       Date:  2005-10-17       Impact factor: 2.395

9.  A case-control study estimating accident risk for alcohol, medicines and illegal drugs.

Authors:  Kim Paula Colette Kuypers; Sara-Ann Legrand; Johannes Gerardus Ramaekers; Alain Gaston Verstraete
Journal:  PLoS One       Date:  2012-08-28       Impact factor: 3.240

10.  Alcohol and cannabis use as risk factors for injury--a case-crossover analysis in a Swiss hospital emergency department.

Authors:  Gerhard Gmel; Hervé Kuendig; Jürgen Rehm; Nicolas Schreyer; Jean-Bernard Daeppen
Journal:  BMC Public Health       Date:  2009-01-29       Impact factor: 3.295

  10 in total

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