Evidence map›Paper›PMID 22236278›Full record

ArticleAddiction (Abingdon, England)2012

Multi-level analysis of alcohol-related injury and drinking pattern: emergency department data from 19 countries.

Cheryl J Cherpitel, Yu Ye, Jason Bond, Guilherme Borges, Patricia Chou, Per Nilsen, June Ruan, Xiaojun Xiang

Abstract read
In one paragraph

Article in Addiction (Abingdon, England), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 1 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

33 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  17. Risk of violence-related injury from alcohol consumption and its burden to society in Latin America and the Caribbean.Revista panamericana de salud publica = Pan American journal of public health · 2018
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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

8 authors.

Cheryl J CherpitelAlcohol Research Group, 6475 Christie Avenue, Emeryville, CA 94608, USA. ccherpitel@arg.org
Yu Ye
Jason Bond
Guilherme Borges
Patricia Chou
Per Nilsen
June Ruan
Xiaojun Xiang

Funding

Cross-National Analysis of Alcohol & InjuryR01AA013750 · NIAAA · PUBLIC HEALTH INSTITUTE · PI CHERPITEL, CHERYL J · 2002 to 2018
$4.4M
NIAAA NIH HHS R01 AA013750
6 · The paper itself

Abstract

Aim  While drinking in the event is an important factor in injury occurrence, the pattern of usual drinking may also be important in risk of injury. Explored here is the relationship of an alcohol-related injury with an individual usual drinking pattern. Design  Alcohol-related injury is examined using hierarchical linear models, taking into account individual usual volume of consumption over the past 12 months, as well as aggregate-level detrimental drinking pattern (DDP) and alcohol policy measures. Setting  Data analyzed are from emergency departments (EDs) in 19 countries, comprising three collaborative studies on alcohol and injury, all of which used a similar methodology. Participants  The sample comprised 14 132 injured drinkers across 46 emergency room (ER) studies. Measurements  Alcohol-related injury was measured, separately, by any self-reported drinking prior to injury, a blood alcohol concentration (BAC) ≥ 0.08 and self-reported causal attribution of injury to drinking. Findings  While individual usual volume strongly predicted an alcohol-related injury for all three measures, usual drinking pattern also predicted an alcohol-related injury (controlling for volume), with episodic heavy and frequent heavy drinking both more predictive of alcohol-related injury than other drinking patterns. When individual usual volume and drinking pattern were controlled, DDP was no longer a significant predictor of alcohol-related injury. Alcohol policy measures were predictive of both BAC and causal attribution (the stronger the policy the lower the rates of alcohol-related injury). Conclusions  Volume of alcohol typically consumed and occurrence of heavy drinking episodes are associated independently with incidence of alcohol-related injury. The stronger the anti-alcohol policies in a country, the lower the rates of alcohol-related injury.

Indexed as

AdultAgedAlcohol DrinkingAlcoholic BeveragesEmergency Service, HospitalEthanolFemaleHealth PolicyHumansMaleMiddle AgedOdds RatioWounds and InjuriesYoung AdultEthanol

Identifiers

PMID22236278
PMCPMC3330192

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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.