Evidence map›Paper›PMID 23869456›Full record

ArticleSubstance use & misuse2013

Traumatic brain injury among U.S. active duty military personnel and negative drinking-related consequences.

Rachel Sayko Adams, Mary Jo Larson, John D Corrigan, Grant A Ritter, Thomas V Williams

Open access · greenAbstract read
In one paragraph

Article in Substance use & misuse, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

11 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Neuroimaging of traumatic brain injury in military personnel: An overview.Journal of clinical neuroscience : official journal of the Neurosurgical Society of Australasia · 2019
    Review
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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

5 authors at 3 institutions in 1 country.

Rachel Sayko AdamsInstitute for Behavioral Health, The Heller School for Social Policy & Management, Brandeis University, Waltham, Massachusetts 02454, USA. radams@brandeis.edu
Mary Jo Larson
John D Corrigan
Grant A Ritter
Thomas V Williams
Brandeis University · USThe Ohio State University · USUnited States Department of Defense · US

Funding

TRAINING PROGRAM IN HEALTH SERVICES RES. ON ALCOHOL-RELAT32AA007567 · NIAAA · BRANDEIS UNIVERSITY · PI SHARON REIF · 1994 to 2026
$9.7M
Examining Alcohol Use after Combat-Acquired Traumatic Brain InjuryF31AA021030 · NIAAA · BRANDEIS UNIVERSITY · PI ADAMS, RACHEL SAYKO · 2011 to 2012
$54k
NIAAA NIH HHS F31 AA021030NIAAA NIH HHS T32 AA007567
6 · The paper itself

Abstract

This study used the 2008 Department of Defense Survey of Health Related Behaviors among Active Duty Military Personnel to determine whether traumatic brain injury (TBI) is associated with past year drinking-related consequences. The study sample included currently drinking personnel who had a combat deployment in the past year and were home for ≥6 months (N = 3,350). Negative binomial regression models were used to assess the incidence rate ratios of consequences, by TBI-level. Experiencing a TBI with a loss of consciousness for more than 20 minutes was significantly associated with consequences independent of demographics, combat exposure, posttraumatic stress disorder, and binge drinking. The study's limitations are noted.

Indexed as

AdolescentAdultAlcohol DrinkingAlcohol-Related DisordersBinge DrinkingBrain InjuriesCombat DisordersFemaleHealth SurveysHumansIncidenceMaleMilitary PersonnelRisk FactorsStress Disorders, Post-TraumaticUnconsciousness

Identifiers

PMID23869456
PMCPMC3721380
OpenAlexW2121027066

What OpenQuestion holds

Textmetadata
LicenceTDM
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.