Evidence map›Paper›PMID 31879250›Full record

ArticleThe lancet. HIV2020

Effect of expanding opioid agonist therapies on the HIV epidemic and mortality in Ukraine: a modelling study.

Jiale Tan, Frederick L Altice, Lynn M Madden, Alexei Zelenev

Abstract read
In one paragraph

Article in The lancet. HIV, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Jiale TanYale University School of Medicine, Section of Infectious Diseases, New Haven, CT, USA.
Frederick L AlticeYale University School of Medicine, Section of Infectious Diseases, New Haven, CT, USA; Yale University School of Public Health, Division of Epidemiology of Microbial Diseases, New Haven, CT, USA; Centre of Excellence on Research in AIDS (CERiA), University of Malaya, Kuala Lumpur, Malaysia.
Lynn M MaddenYale University School of Medicine, Section of Infectious Diseases, New Haven, CT, USA; APT Foundation, New Haven, CT, USA.
Alexei ZelenevYale University School of Medicine, Section of Infectious Diseases, New Haven, CT, USA. Electronic address: alexei.zelenev@yale.edu.

Funding

Prison Interventions and HIV Prevention CollaborationR01DA029910 · NIDA · YALE UNIVERSITY · PI FREDERICK LEWIS ALTICE · 2010 to 2026
$7.9M
Expanding Medication Assisted Therapy in Ukraine (ExMAT)R01DA033679 · NIDA · YALE UNIVERSITY · PI ALTICE, FREDERICK LEWIS · 2012 to 2021
$6.4M
Integrating Addiction Treatment and HIV Services into Primary Care Clinics in UkraineR01DA043125 · NIDA · YALE UNIVERSITY · PI ALTICE, FREDERICK LEWIS · 2016 to 2021
$4.4M
YALE BIOMEDICAL SUPERCOMPUTER: NEUROSCIENCES10RR019895 · NCRR · YALE UNIVERSITY · PI WILLIAMS, KENNETH ROBERT · 2004 to 2004
$1.6M
Modeling HIV & Substance Abuse: Correcting Sampling Bias and Cost EffectivenessK01DA037826 · NIDA · YALE UNIVERSITY · PI ZELENEV, ALEXEI · 2014 to 2018
$838k
High Performance Computing Instrumentation for Yale University Biomedical HPC CenS10RR029676 · NCRR · YALE UNIVERSITY · PI BJORNSON, ROBERT DEAN · 2011 to 2011
$588k
NCRR NIH HHS S10 RR019895NCRR NIH HHS S10 RR029676NIDA NIH HHS K01 DA037826NIDA NIH HHS R01 DA029910NIDA NIH HHS R01 DA033679NIDA NIH HHS R01 DA043125
6 · The paper itself

Abstract

backgroundAs HIV incidence and mortality continue to increase in eastern Europe and central Asia, particularly among people who inject drugs (PWID), it is crucial to effectively scale-up opioid agonist therapy (OAT), such as methadone or buprenorphine maintenance therapy, to optimise HIV outcomes. With low OAT coverage among PWID, we did an optimisation assessment using current OAT procurement and allocation, then modelled the effect of increased OAT scale-up on HIV incidence and mortality for 23 administrative regions of Ukraine.

methodsWe developed a linear optimisation model to estimate efficiency gains that could be achieved based on current procurement of OAT. We also developed a dynamic, compartmental population model of HIV transmission that included both injection and sexual risk to estimate the effect of OAT scale-up on HIV infections and mortality over a 10-year horizon. The compartmental population model was calibrated to HIV prevalence and incidence among PWID for 23 administrative regions of Ukraine. Sources for regional data included the SyrEx database, the Integrated Biological and Behavioral Survey, the Ukrainian Center for Socially Dangerous Disease Control of the Ministry of Health of Ukraine, the Public Health Center of the Ministry of Health of Ukraine, and the Ukrainian Census.

findingsUnder a status-quo scenario (OAT coverage of 2·7% among PWID), the number of new HIV infections among PWID in Ukraine over the next 10 years was projected to increase to 58 820 (95% CI 47 968-65 535), with striking regional differences. With optimum allocation of OAT without additional increases in procurement, OAT coverage could increase from 2·7% to 3·3% by increasing OAT doses to ensure higher retention levels. OAT scale-up to 10% and 20% over 10 years would, respectively, prevent 4368 (95% CI 3134-5243) and 10 864 (7787-13 038) new HIV infections and reduce deaths by 7096 (95% CI 5078-9160) and 17 863 (12 828-23 062), relative to the status quo. OAT expansion to 20% in five regions of Ukraine with the highest HIV burden would account for 56% of new HIV infections and 49% of deaths prevented over 10 years.

interpretationTo optimise HIV prevention and treatment goals in Ukraine, OAT must be substantially scaled up in all regions. Increased medication procurement is needed, combined with optimisation of OAT dosing. Restricting OAT scale-up to some regions of Ukraine could benefit many PWID, but the regions most affected are not necessarily those with the highest HIV burden.

fundingNational Institute on Drug Abuse.

Indexed as

Analgesics, OpioidHIV InfectionsHumansIncidenceModels, TheoreticalOpiate Substitution TreatmentPrevalenceRiskSubstance Abuse, IntravenousUkraineAnalgesics, Opioid

Identifiers

PMID31879250
PMCPMC7289179

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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.