ArticleIndustrial psychiatry journal
Classifying opioid use disorder based on diagnostic criteria items using cluster analysis.
Article in Industrial psychiatry journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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Who cites it
1 citing paper in PubMed.
- Seasonal surge for mental health demand in the emergency department of Eradah complex for mental health in the Eastern Province of Saudi Arabia: a retrospective study.The Journal of the Egyptian Public Health Association · 2026Article
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Opioid use disorder (OUD) is a global concern with a reported shift in changing demographic and biopsychosocial profiles. Characterization of clusters based on diagnostic symptom criteria can help to understand the underlying associations between these criteria. Aim: The present study identifies clusters based on OUD diagnostic criteria, which may reveal clinically relevant subgroups of individuals with OUDs. Materials and Methods: The DSM5 diagnostic system OUD diagnosis was made for 204 male participants. An unsupervised clustering analysis focused on the individual 11 DSM5 diagnostic criteria. Results: Using the DSM5 diagnostic criteria, we obtained two clusters based on severity. Further, analyzing clinical information along with DSM5 criteria, two groups varying in OUD severity, presence of injecting drug use, and employment were identified. Conclusion: Based on cluster analysis, two main clusters of DSM5 criteria emerged. Rather than DSM5 symptoms clustering with each other based on the similarity of symptomatology, they aggregate numerically reflecting severity.
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