ArticlePreventive medicine2022
Spatial and temporal trends in the diagnosis of opioid-related problems in commercially-insured adolescents and young adults.
Article in Preventive medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
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Who cites it
1 citing paper in PubMed, 1 citations in OpenAlex.
- Timing of treatment for opioid use disorder among birthing people.Journal of substance use and addiction treatment · 2024Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
Abstract
Little is known about the extent to which the prevalence of opioid-related problems (ORPs) varies among U.S. adolescents and young adults across geographic regions and over time, information that can help to guide policies that aim to curb the opioid epidemic. A retrospective, cross-sectional design was used to analyze longitudinal claims data from privately insured individuals aged 12-64 years who had an outpatient or inpatient diagnosis of an ORP in the years 2005-2018. The prevalence of opioid-related problem diagnoses (per 10,000) varied considerably across census divisions, both over time and between age groups. Knowledge of the origin of and variation in diagnosed opioid-related problems in terms of age group and census division is important so that interventions and policies can be more targeted and effective.
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Registered trials
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.