Evidence map›Paper›PMID 32267658›Full record

ArticleJournal of acquired immune deficiency syndromes (1999)2020

Trajectories of Self-Reported Opioid Use Among Patients With HIV Engaged in Care: Results From a National Cohort Study.

E Jennifer Edelman, Yu Li, Declan Barry, Jennifer Brennan Braden, Stephen Crystal, Robert D Kerns, Julie R Gaither, Kirsha S Gordon, Ajay Manhapra, Jessica S Merlin and 10 more

Open access · greenAbstract read
In one paragraph

Article in Journal of acquired immune deficiency syndromes (1999), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

20 citing papers in PubMed, 22 citations in OpenAlex.

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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

20 authors at 9 institutions in 2 countries.

E Jennifer EdelmanDepartment of Internal Medicine, Yale School of Medicine, New Haven, CT.
Yu LiDepartment of Epidemiology, Brown University School of Public Health, Providence, RI.
Declan BarryDepartment of Psychiatry, Yale School of Medicine, New Haven, CT.
Jennifer Brennan BradenDepartment of Psychiatry and Behavioral Sciences, University of Washington, Seattle, WA.
Stephen CrystalCenter for Health Services Research, Institute for Health, Rutgers University, Rutgers, NJ.
Robert D KernsDepartment of Psychiatry, Yale School of Medicine, New Haven, CT.
Julie R GaitherDepartment of Pediatrics, Yale School of Medicine, New Haven, CT.
Kirsha S GordonDepartment of Internal Medicine, Yale School of Medicine, New Haven, CT.
Ajay ManhapraDepartment of Psychiatry, Yale School of Medicine, New Haven, CT.
Jessica S MerlinDepartment of Internal Medicine, University of Pittsburgh School of Medicine, Pittsburgh, PA.
Brent A MooreDepartment of Psychiatry, Yale School of Medicine, New Haven, CT.
Benjamin J OldfieldDepartment of Internal Medicine, Yale School of Medicine, New Haven, CT.
Lesley S ParkStanford Center for Population Health Sciences, Stanford University School of Medicine, Palo Alto, CA.
Christopher T RentschVA Connecticut Healthcare System, West Haven, CT.
Melissa SkandersonVA Connecticut Healthcare System, West Haven, CT.
Emily C WilliamsDepartment of Health Services, University of Washington School of Public Health, Seattle, WA; and.
Amy C JusticeDepartment of Internal Medicine, Yale School of Medicine, New Haven, CT.
Janet P TateDepartment of Internal Medicine, Yale School of Medicine, New Haven, CT.
William C BeckerDepartment of Internal Medicine, Yale School of Medicine, New Haven, CT.
Brandon D L MarshallDepartment of Epidemiology, Brown University School of Public Health, Providence, RI.
Yale University · USVA Connecticut Healthcare System · USBrown University · USUniversity of Washington · USHampton VA Medical Center · USLondon School of Hygiene & Tropical Medicine · GBRutgers, The State University of New Jersey · USStanford University · USUniversity of Pittsburgh · US

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
Alcohol Associated Outcomes Among HIV+/- Aging VeteransU10AA013566 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2006 to 2010
$12.7M
Opioid Overdoses among Medicaid Beneficiaries: Predictors, Outcomes, and State Policy EffectsR01DA047347 · NIDA · RUTGERS, THE STATE UNIV OF N.J. · PI CRYSTAL, STEPHEN · 2019 to 2022
$3.1M
3/3 COMpAAAS Tripartite: ART-CC, KP, and VAU01AA026224 · NIAAA · YALE UNIVERSITY · PI JUSTICE, AMY CAROLINE · 2017 to 2021
$2.9M
Non-Medical Use of Prescription Opioids Among HIV-Infected Individuals: Trajectories and Impact on Health OutcomesR01DA040471 · NIDA · YALE UNIVERSITY · PI EDELMAN, E. JENNIFER · 2016 to 2018
$716k
NCATS NIH HHS UL1 TR001863NIAAA NIH HHS U01 AA026224NIAAA NIH HHS U10 AA013566NIDA NIH HHS R01 DA040471NIDA NIH HHS R01 DA047347
6 · The paper itself

Abstract

backgroundNo prior studies have characterized long-term patterns of opioid use regardless of source or reason for use among patients with HIV (PWH). We sought to identify trajectories of self-reported opioid use and their correlates among a national sample of PWH engaged in care.

settingVeterans Aging Cohort Study, a prospective cohort including PWH receiving care at 8 US Veterans Health Administration (VA) sites.

methodsBetween 2002 and 2018, we assessed past year opioid use frequency based on self-reported "prescription painkillers" and/or heroin use at baseline and follow-up. We used group-based trajectory models to identify opioid use trajectories and multinomial logistic regression to determine baseline factors independently associated with escalating opioid use compared to stable, infrequent use.

resultsAmong 3702 PWH, we identified 4 opioid use trajectories: (1) no lifetime use (25%); (2) stable, infrequent use (58%); (3) escalating use (7%); and (4) de-escalating use (11%). In bivariate analysis, anxiety; pain interference; prescribed opioids, benzodiazepines and gabapentinoids; and marijuana use were associated with escalating opioid group membership compared to stable, infrequent use. In multivariable analysis, illness severity, pain interference, receipt of prescribed benzodiazepine medications, and marijuana use were associated with escalating opioid group membership compared to stable, infrequent use.

conclusionAmong PWH engaged in VA care, 1 in 15 reported escalating opioid use. Future research is needed to understand the impact of psychoactive medications and marijuana use on opioid use and whether enhanced uptake of evidence-based treatment of pain and psychiatric symptoms can prevent escalating use among PWH.

Indexed as

AdultAgedCohort StudiesFemaleHIV InfectionsHumansMaleMiddle AgedOpioid-Related DisordersUnited States

Identifiers

PMID32267658
PMCPMC7147724
OpenAlexW3004111611

What OpenQuestion holds

Textmetadata
LicenceTDM
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.