Evidence map›Paper›PMID 34565405›Full record

ArticleSubstance abuse treatment, prevention, and policy2021

Socioeconomic correlates of incident and fatal opioid overdose among Swedish people with opioid use disorder.

Disa Dahlman, Henrik Ohlsson, Alexis C Edwards, Jan Sundquist, Anders Håkansson, Kristina Sundquist

Open access · goldAbstract read
In one paragraph

Article in Substance abuse treatment, prevention, and policy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
4.5field-weighted citation impact, top 5% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
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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

6 authors at 4 institutions in 3 countries.

Disa DahlmanCenter for Primary Health Care Research, Department of Clinical Sciences Malmö, Clinical Research Center/CRC, Lund University/Region Skåne, Box 503 22, Malmö, Sweden. disa.dahlman@med.lu.se.ORCID 0000-0003-0507-8758
Henrik OhlssonCenter for Primary Health Care Research, Department of Clinical Sciences Malmö, Clinical Research Center/CRC, Lund University/Region Skåne, Box 503 22, Malmö, Sweden.
Alexis C EdwardsDepartment of Psychiatry, Virginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University School of Medicine, Richmond, VA, USA.
Jan SundquistCenter for Primary Health Care Research, Department of Clinical Sciences Malmö, Clinical Research Center/CRC, Lund University/Region Skåne, Box 503 22, Malmö, Sweden.
Anders HåkanssonFaculty of Medicine, Department of Clinical Sciences Lund, Psychiatry, Lund University, Lund, Sweden.
Kristina SundquistCenter for Primary Health Care Research, Department of Clinical Sciences Malmö, Clinical Research Center/CRC, Lund University/Region Skåne, Box 503 22, Malmö, Sweden.
Lund University · SEShimane University · JPMalmö University · SEVirginia Commonwealth University · US

Funding

Genetic, Social, and Developmental Epidemiology of Drug Use DisordersR01DA030005 · NIDA · VIRGINIA COMMONWEALTH UNIVERSITY · PI KENNETH SEEDMAN KENDLER, JAN O SUNDQUIST · 2010 to 2026
$7.6M
The Etiology of Risk: Alcohol Use Disorder and Suicidal BehaviorR01AA027522 · NIAAA · VIRGINIA COMMONWEALTH UNIVERSITY · PI Alexis C Edwards, Kristina Sundquist · 2019 to 2026
$3.5M
Imaging varenicline effects on nicotine & dopamine: Gene modulationR03DA027522 · NIDA · JOHNS HOPKINS UNIVERSITY · PI MCCAUL, MARY E, WAND, GARY S · 2009 to 2010
$432k
medicinska fakulteten, lunds universitet ALF project grantmedicinska fakulteten, lunds universitet Yngre ALFNIAAA NIH HHS R01 AA027522NIDA NIH HHS AA027522NIDA NIH HHS R01 DA030005NIDA NIH HHS R01DA030005region skåne Primary Healthcare Managementvetenskapsrådet 2018-02400vetenskapsrådet 2020-01175
6 · The paper itself

Abstract

backgroundOpioid overdose (OD) and opioid OD death are major health threats to people with opioid use disorder (OUD). Socioeconomic factors are underexplored potential determinants of opioid OD. In this study, we assessed socioeconomic and other factors and their associations with incident and fatal opioid OD, in a cohort consisting of 22,079 individuals with OUD.

methodsWe performed a retrospective, longitudinal study based on Swedish national register data for the period January 2005-December 2017. We used Cox proportional hazard models to investigate the risk of incident and fatal opioid OD as a function of several individual, parental and neighborhood covariates.

resultsUnivariate analysis showed that several covariates were associated with incident and fatal opioid OD. In the multivariate analysis, incident opioid OD was associated with educational attainment (Hazard ratio [HR] 0.96; 95% confidence interval [CI] 0.94-0.97), having received social welfare (HR 1.31; 95% CI 1.22-1.39), and criminal conviction (HR 1.53; 95% CI 1.42-1.65). Fatal opioid OD was also associated with criminal conviction (HR 1.93; 95% CI 1.61-2.32).

conclusionIndividuals with low education and receipt of social welfare had higher risks of incident opioid OD and individuals with criminal conviction were identified as a risk group for both incident and fatal opioid OD. Our findings should raise attention among health prevention policy makers in general, and among decision-makers within the criminal justice system and social services in particular.

Indexed as

Drug OverdoseOpiate OverdoseOpioid-Related DisordersAnalgesics, OpioidHumansLongitudinal StudiesRetrospective StudiesSocioeconomic FactorsSwedenAnalgesics, OpioidDrug abuseDrug-related deathOpioidsPoisoningSocioeconomic statusSweden

Identifiers

PMID34565405
PMCPMC8474855
OpenAlexW3201822763

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.