Evidence map›Paper›PMID 35590173›Full record

ArticleJournal of studies on alcohol and drugs2022

Predicting the Onset of Opioid Use Disorder in the Swedish General Population.

Kenneth S Kendler, Sara L Lönn, Jan Sundquist, Kristina Sundquist

Open access · greenAbstract read
In one paragraph

Article in Journal of studies on alcohol and drugs, 2022. 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, top 92% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

4 authors at 3 institutions in 3 countries.

Kenneth S KendlerVirginia Institute for Psychiatric and Behavioral Genetics, Virginia Commonwealth University, Richmond, Virginia.
Sara L LönnCenter for Primary Health Care Research, Lund University, Malmö, Sweden.
Jan SundquistCenter for Primary Health Care Research, Lund University, Malmö, Sweden.
Kristina SundquistCenter for Primary Health Care Research, Lund University, Malmö, Sweden.
Lund University · SEIcahn School of Medicine at Mount Sinai · USVirginia 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
NIDA NIH HHS R01 DA030005
6 · The paper itself

Abstract

objectiveGiven the public health importance of opioid use disorder (OUD), we sought to understand better its risk predictors in the Swedish general population.

methodWe examined the Swedish population, born 1950-1970 (

resultsOUD was predicted by the following four risk factor domains: (a) externalizing syndromes, especially prior non-opioid DUD; (b) psychopathology; (c) psychosocial factors, including social class and immigrant and marital status; and (d) serious injuries and pain diagnoses. When predicting OUD as the first form of DUD, the importance of pain diagnoses as a predictor increased. Co-sibling analyses suggested that the association of some of these risk factors with OUD onset was likely largely causal, whereas others were a mixture of causal effects and familial confounding. An aggregate risk score from these individual risk factors had reasonable receiver operating characteristic (ROC) curve performance.

conclusionsOUD is a multifactorial syndrome for which risk can be meaningfully predicted by prior externalizing syndromes, internalizing and psychotic psychopathology, indicators of psychosocial status, and predictors of pain diagnoses. Some important differences were seen in the prediction of any OUD onset versus OUD onset as the first form of DUD. Much of the effect of these predictors appear, in co-sibling analyses, to likely reflect causal influences.

Indexed as

Opioid-Related DisordersAnalgesics, OpioidHumansPainRisk FactorsSwedenSyndromeAnalgesics, Opioid

Identifiers

PMID35590173
PMCPMC9134993
OpenAlexW4281254867

What OpenQuestion holds

Textmetadata
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.