Evidence map›Paper›PMID 39898522›Full record

ArticleJournal of addiction medicine

Diagnosis of Alcohol Use Disorder and Deaths Related to Alcohol, Drug Overdose, or Suicide Among Post-9/11 Active Duty Service Members and Veterans Following Traumatic Brain Injury.

Kangwon Song, Megan E Amuan, Rachel Sayko Adams, Eamonn Kennedy, Adam J Gordon, Kathleen F Carlson, Terri K Pogoda, Eric G Meyer, Jerry Cochran, Christopher Spevak and 1 more

Abstract read
In one paragraph

Article in Journal of addiction medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Kangwon SongDepartment of Pharmacy, Wellstar MCG Health, Augusta University, Augusta, GA (KS); Informatics, Decision-Enhancement, and Analytic Sciences Center of Innovation, VA Salt Lake City Health Care System, Salt Lake City, VA (MEA, MJP); Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT (MEA, EK, MJP); Department of Health Law, Policy and Management, Boston University School of Public Health, Boston, MA (RSA); Informatics, Decision-Enhancement, and Analytic Sciences Center of Innovation (EK); Program for Addiction Research, Clinical Care, Knowledge, and Advocacy (PARCKA), Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT (AJG, JC); Informatics, Decision-Enhancement, and Analytic Sciences Center of Innovation, VA Salt Lake City Health Care System, Salt Lake City, UT (AJG, JC); Center to Improve Veteran Involvement in Care, VA Portland Health Care System, Portland, OR (KFC); Oregon Health and Science University, Portland State University School of Public Health, Oregon Health and Science University, Portland, OR (KFC); Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System, Boston, MA (TKP); Department of Health Law, Policy & Management, Boston University School of Public Health, Boston, MA (TKP); Uniformed Services University of the Health Sciences, Psychiatry, Bethesda, MD (EGM); and Walter Reed National Military Medical Center, Georgetown University School of Medicine, Bethesda, MD (CS).
Megan E Amuan
Rachel Sayko Adams
Eamonn Kennedy
Adam J Gordon
Kathleen F Carlson
Terri K Pogoda
Eric G Meyer
Jerry Cochran
Christopher Spevak
Mary Jo Pugh

Funding

HSRD VA I01 HX000281HSRD VA IK6 HX003762RRD VA I01 RX003443
6 · The paper itself

Abstract

objectivesThe association between traumatic brain injury (TBI) and alcohol use disorder (AUD) is known, but the extent of TBI's role in developing AUD remains unclear. This study examines the association between TBI severity with subsequent AUD diagnosis, and hazard for death due to alcohol, drug overdose, or suicide.

methodsData from a national US military/veteran cohort (October 1999-September 2016, followed until September 2020) were analyzed using Fine-Gray competing risk models to investigate the relationships between TBI exposure, subsequent AUD, and hazards of death due to specific causes (alcohol, drug overdose, or suicide).

resultsTBI severity correlated with an increased likelihood of an incident AUD diagnosis: mild TBI (hazard ratio [HR]: 1.25, 95% confidence interval [CI] 1.22-1.27), moderate-severe TBI (HR: 1.34, 95% CI 1.32-1.37), and penetrating TBI (HR: 1.90, 95% CI 1.86-1.94). For those who developed AUD, TBI was associated with a higher hazard of death from specific causes such as alcohol, drug overdose, or suicide (HR: 2.47 (95% CI 2.03-3.02) for mild TBI, 4.25 (95% CI 3.49-5.17) for moderate-severe TBI, and 3.39 (95% CI 2.80-4.13) for penetrating TBI.

conclusionsVeterans with TBI were more likely to develop AUD and experience increased mortality, even after adjusting for demographic and clinical factors. Care strategies that are sensitive to the cognitive and/or emotional impairments associated with varying levels of TBI may lead to better outcomes, reducing both AUD and mortality rates. Further research is needed to develop evidence-based methods for integrating TBI and AUD care.

Indexed as

AlcoholismBrain Injuries, TraumaticDrug OverdoseMilitary PersonnelSuicideVeteransAdultFemaleHumansMaleMiddle AgedUnited Statesalcohol related disorderscohort studiesdrug overdosemilitarysuicidetraumatic brain injuryveterans

Identifiers

PMID39898522
PMCPMC13390338

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.