Evidence map›Paper›PMID 34171087›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2021

The Effect of Buprenorphine on Human Immunodeficiency Virus Viral Suppression.

Jongyeon Kim, Catherine R Lesko, Anthony T Fojo, Jeanne C Keruly, Richard D Moore, Geetanjali Chander, Bryan Lau

Open access · bronzeAbstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.0field-weighted citation impact, top 20% 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

12 citing papers in PubMed, 18 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
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

7 authors at 1 institution in 1 country.

Jongyeon KimDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Catherine R LeskoDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.
Anthony T FojoDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Jeanne C KerulyDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Richard D MooreDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Geetanjali ChanderDepartment of Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Bryan LauDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, USA.ORCID 0000-0002-2355-612X
Johns Hopkins University · US

Funding

Johns Hopkins HIV Clinical CohortU01DA036935 · NIDA · JOHNS HOPKINS UNIVERSITY · PI MOORE, RICHARD DOUGLAS · 2014 to 2024
$14.9M
Ending the HIV Epidemic in Rural America (EHE-RA): Local Interventions, Co-Epidemics, and Social DeterminantsR01MD018539 · NIMHD · JOHNS HOPKINS UNIVERSITY · PI Anthony Todd Fojo · 2022 to 2026
$4.0M
Mentoring and Patient Oriented Research at the Nexus of Unhealthy Alcohol Use and HIVK24AA027483 · NIAAA · UNIVERSITY OF WASHINGTON · PI GEETANJALI CHANDER · 2019 to 2026
$1.3M
Optimizing outcomes at the intersection of HIV and mental health: Prediction, precision medicine, and population healthK08MH118094 · NIMH · JOHNS HOPKINS UNIVERSITY · PI FOJO, ANTHONY TODD · 2018 to 2022
$953k
Unhealthy alcohol use, other drug use, and mental health disorders: comorbidity burden in people with HIV, gaps in treatment, and impact on the HIV care continuumK01AA028193 · NIAAA · JOHNS HOPKINS UNIVERSITY · PI LESKO, CATHERINE · 2019 to 2023
$900k
NIAAA NIH HHS K01 AA028193NIAAA NIH HHS K24 AA027483NIH HHS U01 DA036935NIMHD NIH HHS R01 MD018539NIMH NIH HHS K08 MH118094
6 · The paper itself

Abstract

backgroundOpioid use is prevalent among people living with human immunodeficiency virus (HIV; PLWH) and adversely affects HIV outcomes. We assessed the effect of buprenorphine (BUP) initiation on subsequent HIV viral loads.

methodsWe identified PLWH from the Johns Hopkins HIV Clinical Cohort who initiated BUP between 2002 and 2017. Poisson regression with robust variance was used to estimate the prevalence of viral suppression (<200 copies/mL) before and after BUP initiation. We matched individuals who initiated BUP with controls based on viral load measurement dates and used prior event rate ratio (PERR) methods to estimate the effect of BUP initiation on viral suppression. PERR methods account for unmeasured confounders.

resultsWe identified 279 PLWH who initiated BUP. After BUP initiation, PLWH were more likely to be virally suppressed (prevalence ratio [PR], 1.19; 95% confidence interval [CI], 1.03-1.37). After matching PLWH who initiated BUP to controls and accounting for measured and unmeasured confounders, BUP initiation increased viral suppression for both those on antiretroviral therapy (ART) at baseline (PERR PR, 1.08; 95% CI, 1.00-1.18) and those not on ART at baseline (PR, 1.31; 95% CI, 1.10-1.61).

conclusionsOur results indicate that the initiation of BUP results in an increase in the probability of being virally suppressed after accounting for both measured and unmeasured confounders. Persons with opioid use disorder should initiate BUP to not only treat substance use but also to increase viral suppression allowing for treatment as prevention.

Indexed as

Anti-HIV AgentsBuprenorphineHIV InfectionsOpioid-Related DisordersHIVHumansViral LoadAnti-HIV AgentsBuprenorphinebuprenorphinecohort studyHIVopioid use disorderviral suppression

Identifiers

PMID34171087
PMCPMC8664419
OpenAlexW3177278659

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.