Evidence map›Paper›PMID 33885777›Full record

ArticleJAMA network open2021

Trajectories of Opioid Use Following First Opioid Prescription in Opioid-Naive Youths and Young Adults.

J Deanna Wilson, Kaleab Z Abebe, Kevin Kraemer, Jane Liebschutz, Jessica Merlin, Elizabeth Miller, David Kelley, Julie Donohue

Abstract read
In one paragraph

Article in JAMA network open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–field-weighted citation impact
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

25 citing papers in PubMed.

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  20. Long-term opioid use following bicycle trauma: a register-based cohort study.European journal of trauma and emergency surgery : official publication of the European Trauma Society · 2023
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

J Deanna WilsonDivision of General Internal Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Kaleab Z AbebeDivision of General Internal Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Kevin KraemerDivision of General Internal Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Jane LiebschutzDivision of General Internal Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Jessica MerlinDivision of General Internal Medicine, Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania.
Elizabeth MillerDivision of Adolescent and Young Adult Medicine, Department of Pediatrics, University of Pittsburgh, Pittsburgh, Pennsylvania.
David KelleyPennsylvania Office of Medical Assistance Programs, Harrisburg.
Julie DonohueDepartment of Health Policy and Management, University of Pittsburgh Graduate School of Public Health, Pittsburgh, Pennsylvania.

Funding

Treatment of Opioid Use Disorder in Young Adults Hospitalized with Infectious Complications of Injection Opioid UseK23DA048987 · NIDA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI WILSON, JACQUELINE DEANNA · 2020 to 2022
$570k
NIDA NIH HHS K23 DA048987
6 · The paper itself

Abstract

Importance: Although prescription opioids are the most common way adolescents and young adults initiate opioid use, many studies examine population-level risks following the first opioid prescription. There is currently a lack of understanding regarding how patterns of opioid prescribing following the first opioid exposure may be associated with long-term risks. Objective: To identify distinct patterns of opioid prescribing following the first prescription using group-based trajectory modeling and examine the patient-, clinician-, and prescription-level factors that may be associated with trajectory membership during the first year. Design, Setting, and Participants: This cohort study examined Pennsylvania Medicaid enrollees' claims data from 2010 through 2016. Participants were aged 10 to 21 years at time of first opioid prescription. Data analysis was performed in March 2020. Main Outcomes and Measures: This study used group-based trajectory modeling and defined trajectory status by opioid fill. Results: Among the 189 477 youths who received an initial opioid prescription, 107 562 were female (56.8%), 81 915 were non-Latinx White (59.6%), and the median age was 16.9 (interquartile range [IQR], 14.6-18.8) years. During the subsequent year, 47 477 (25.1%) received at least one additional prescription. Among the models considered, the 2-group trajectory model had the best fit. Of those in the high-risk trajectory, 65.3% (n = 901) filled opioid prescriptions at month 12, in contrast to 13.1% (n = 6031) in the low-risk trajectory. Median age among the high-risk trajectory was 19.0 years (IQR, 17.1-20.0 years) compared with the low-risk trajectory (17.8 years [IQR, 15.8-19.4 years]). The high-risk trajectory received more potent prescriptions compared with the low-risk trajectory (median dosage of the index month for high-risk trajectory group: 10.0 MME/d [IQR, 5.0-21.2 MME/d] vs the low-risk trajectory group: 4.7 MME/d [IQR, 2.5-7.8 MME/d]; P < .001). The trajectories showed persistent differences with more youths in the high-risk trajectory going on to receive a diagnosis of opioid use disorder (30.0%; n = 412) compared with the low-risk group (10.1%; n = 4638) (P < .001). Conclusions and Relevance: This study's results identified 2 trajectories associated with elevated risk for persistent opioid receipt within 12 months following first opioid prescription. The high-risk trajectory was characterized by older age at time of first prescription, and longer and more potent first prescriptions. These findings suggest even short and low-dose opioid prescriptions can be associated with risks of persistent use for youths.

Indexed as

AdolescentAdultAnalgesics, OpioidChildFemaleHumansMaleMedicaidOpioid-Related DisordersPennsylvaniaPractice Patterns, Physicians'Retrospective StudiesRisk AssessmentUnited StatesYoung AdultAnalgesics, Opioid

Identifiers

PMID33885777
PMCPMC8063062

What OpenQuestion holds

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Registered trials

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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.