Evidence map›Paper›PMID 33395597›Full record

ArticleDrug and alcohol dependence2021

Causes of death among U.S. Veterans with a prior nonfatal opioid overdose.

Sara Warfield, Elizabeth Karras, Christa Lilly, Michael Brumage, Robert M Bossarte

Open access · greenAbstract read
In one paragraph

Article in Drug and alcohol dependence, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
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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 1 institution in 1 country.

Sara WarfieldCenter of Excellence for Suicide Prevention, Department of Veterans Affairs, 400 Fort Hill Avenue, Canandaigua, NY, 14424, USA; Department of Epidemiology, School of Public Health, West Virginia University, 64 Medical Center Drive, P.O. Box 9190, Morgantown, WV, 26506, USA; Injury Control Research Center, West Virginia University, 3606 Collins Ferry Rd, Suites 201 & 202, Morgantown, WV 26505, USA. Electronic address: scwarfield@hsc.wvu.edu.
Elizabeth KarrasCenter of Excellence for Suicide Prevention, Department of Veterans Affairs, 400 Fort Hill Avenue, Canandaigua, NY, 14424, USA; Injury Control Research Center, West Virginia University, 3606 Collins Ferry Rd, Suites 201 & 202, Morgantown, WV 26505, USA; Department of Psychiatry, University of Rochester, 601 Elmwood Avenue, Rochester, NY, 14642, USA.
Christa LillyDepartment of Biostatistics, West Virginia University, 64 Medical Center Drive, P.O. Box 9190, Morgantown, WV, 26506, USA.
Michael BrumageInjury Control Research Center, West Virginia University, 3606 Collins Ferry Rd, Suites 201 & 202, Morgantown, WV 26505, USA; Department of Occupational Medicine, West Virginia University, 64 Medical Center Drive, P.O. Box 9190, Morgantown, WV, 26506, USA.
Robert M BossarteCenter of Excellence for Suicide Prevention, Department of Veterans Affairs, 400 Fort Hill Avenue, Canandaigua, NY, 14424, USA; Department of Epidemiology, School of Public Health, West Virginia University, 64 Medical Center Drive, P.O. Box 9190, Morgantown, WV, 26506, USA; Injury Control Research Center, West Virginia University, 3606 Collins Ferry Rd, Suites 201 & 202, Morgantown, WV 26505, USA; Department of Behavioral Medicine and Psychiatry, West Virginia University, 64 Medical Center Drive, P.O. Box 9190, Morgantown, WV, 26506, USA.
West Virginia University · US

Funding

West Virginia IDEA-CTRU54GM104942 · NIGMS · WEST VIRGINIA UNIVERSITY · PI JUDITH FEINBERG · 2012 to 2026
$81.0M
NIGMS NIH HHS U54 GM104942
6 · The paper itself

Abstract

backgroundFor over a decade, there has been a surge in opioid-related morbidity and mortality among Veterans. To better understand the impact of the growing epidemic, it is important to identify the cause-specific mortality rates among Veterans with a prior nonfatal opioid overdose.

methodsWe followed 8370 Veterans who received medical care for a nonfatal opioid overdose between 2011 through 2015.Mortality records were linked to clinical records from the Veterans Health Administration (VHA). We compared the mortality rates among those with a nonfatal opioid overdose to a 5 % stratified random sample of patients accessing services during the same time period. SMRs were calculated using age-adjusted cause-specific mortality rates for the l U.S. population obtained from the Centers for Disease Control and Prevention's Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER).

resultsThe crude mortality for Veterans with a history of a nonfatal overdose was 370.6 per 10,000 person years. Those with a prior nonfatal overdose had a higher risk of substance-related mortality (aHR [adjusted Hazard Ratio] 5.0), including a higher risk of death from drugs (aHR 6.9) and alcohol (aHR 2.7). Similarly, cause-specific mortalities assessed between Veterans and the U.S. population, SMRs were also highest for deaths associated with substances (114.0).

conclusionVeterans with a prior nonfatal overdose experienced substantially higher mortality rates compared to other Veterans or the general U.S. POPULATION: Causes of death related to substance use and mental health were significantly higher than other causes of death, highlighting the importance of integrated treatment and substance use services.

Indexed as

AdultAnalgesics, OpioidCause of DeathDrug OverdoseEpidemicsFemaleHumansMaleMental HealthMiddle AgedOpiate OverdoseSubstance-Related DisordersUnited StatesUnited States Department of Veterans AffairsVeteransAnalgesics, OpioidDrug mortalityOpioid overdoseOverdoseVeterans

Identifiers

PMID33395597
PMCPMC8406624
OpenAlexW3120381859

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.