Evidence map›Paper›PMID 26124071›Full record

ArticleInjury prevention : journal of the International Society for Child and Adolescent Injury Prevention2016

Effects of brief intervention on subgroups of injured patients who drink at risk levels.

Gerald Cochran, Craig Field, Michael Foreman, Thomas Ylioja, Carlos V R Brown

Abstract read
In one paragraph

Article in Injury prevention : journal of the International Society for Child and Adolescent Injury Prevention, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. 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

5 authors.

Gerald CochranSchool of Social Work; School of Medicine, Department of Psychiatry, University of Pittsburgh.
Craig FieldDepartment of Psychology, University of Texas, El Paso, Texas, USA.
Michael ForemanBaylor University Medical Center, Dallas, Texas, USA.
Thomas YliojaUniversity of Pittsburgh, School of Social Work, Pittsburgh, Pennsylvania, USA.
Carlos V R BrownUniversity Medical Center at Brackenridge, Austin, Texas, USA.

Funding

Multidisciplinary Approach to Reduce Injury and Alcohol UseR01AA015439 · NIAAA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI FIELD, CRAIG A · 2006 to 2010
$2.5M
NIAAA NIH HHS R01 AA015439
6 · The paper itself

Abstract

Alcohol-related injuries are a major source of admission for trauma care. Screening and brief intervention (SBI) for injured patients can result in decreased drinking and risk behaviors. It is not clear SBI is equally beneficial for all injured patients. A secondary data analysis of 553 patients admitted to two Level-1 trauma centers was conducted. Latent class analysis was used to identify patient subgroups based on injury-related risks and consequences of alcohol use. Intervention effects on drinking were examined among subgroups. Five subgroups were identified. Drinking improved in patients reporting multiple risks and injuries/accidents and drinking and driving. Patients that reported drinking and driving and taking foolish risks or fighting while drinking and taking foolish risks did not show improvements. Trauma centers may benefit from targeting interventions based on injury-related risks and consequences of alcohol use. Further research is needed to test bedside approaches for tailored interventions.

Indexed as

AdultAlcohol DrinkingAlcohol-Related DisordersDriving Under the InfluenceFemaleHumansMalePatient Education as TopicRandomized Controlled Trials as TopicRisk-TakingTrauma CentersViolenceWounds and InjuriesYoung Adult

Identifiers

PMID26124071
PMCPMC4726485

What OpenQuestion holds

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LicenceTDM
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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.