Evidence map›Paper›PMID 30033374›Full record

ArticleThe lancet. HIV2018

Potential impact of implementing and scaling up harm reduction and antiretroviral therapy on HIV prevalence and mortality and overdose deaths among people who inject drugs in two Russian cities: a modelling study.

Javier A Cepeda, Ksenia Eritsyan, Peter Vickerman, Alexandra Lyubimova, Marina Shegay, Veronika Odinokova, Leo Beletsky, Annick Borquez, Matthew Hickman, Chris Beyrer and 1 more

Open access · greenAbstract read
In one paragraph

Article in The lancet. HIV, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 3 pooled it
3.9field-weighted citation impact, top 6% 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

26 citing papers in PubMed, 3 syntheses or guidelines pooled it, 41 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 5 institutions in 3 countries.

Javier A CepedaDivision of Infectious Diseases and Global Public Health, University of California San Diego, San Diego, CA, USA. Electronic address: jacepeda@ucsd.edu.
Ksenia EritsyanNGO Stellit, Saint Petersburg, Russia; Department of Sociology, National Research University Higher School of Economics, Saint Petersburg, Russia.
Peter VickermanPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Alexandra LyubimovaNGO Stellit, Saint Petersburg, Russia.
Marina ShegayRussian Health Care Foundation, Moscow, Russia.
Veronika OdinokovaNGO Stellit, Saint Petersburg, Russia.
Leo BeletskyDivision of Infectious Diseases and Global Public Health, University of California San Diego, San Diego, CA, USA; School of Law and Bouvé College of Health Sciences, Northeastern University, Boston, MA, USA.
Annick BorquezDivision of Infectious Diseases and Global Public Health, University of California San Diego, San Diego, CA, USA.
Matthew HickmanPopulation Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
Chris BeyrerDepartment of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA.
Natasha K MartinDivision of Infectious Diseases and Global Public Health, University of California San Diego, San Diego, CA, USA; Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.
University of Bristol · GBUniversity of California System · USJohns Hopkins University · USNational Research University Higher School of Economics · RUNortheastern University · US

Funding

VirologyP30AI036214 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI David Mitchell Smith · 1994 to 2026
$78.4M
Training Program in Substance Use, HIV and Related InfectionsT32DA023356 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Natasha Martin, Steffanie A Strathdee · 2007 to 2026
$7.8M
Police Training to Reduce Occupational Needlesticks and HIV among Substance UsersR01DA039073 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI BELETSKY, LEO, STRATHDEE, STEFFANIE A. · 2015 to 2019
$3.2M
Modeling Structural HIV Determinants in Substance Users and related populationsR01DA037773 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MARTIN, NATASHA, STRATHDEE, STEFFANIE A. · 2015 to 2017
$1.4M
MODELING THE IMPACT OF A POLICE EDUCATION PROGRAM ON HIV INCIDENCE AMONG PEOPLE WHO INJECT DRUGSK01DA043421 · NIDA · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CEPEDA, JAVIER · 2017 to 2021
$941k
Department of Health RP-PG-0616-20008NIAID NIH HHS P30 AI036214NIDA NIH HHS K01 DA043421NIDA NIH HHS R01 DA037773NIDA NIH HHS R01 DA039073NIDA NIH HHS T32 DA023356
6 · The paper itself

Abstract

backgroundMost new HIV infections among people who inject drugs (PWID) in eastern Europe and central Asia occur in Russia, where PWID have a high risk of overdose. In Russia, use of opioid agonist therapy (OAT) is prohibited, and coverage of needle and syringe programmes (NSPs) and antiretroviral therapy (ART) is poor. We aimed to assess the effects that scaling up harm reduction (ie, use of OAT and coverage of NSPs) and use of ART might have on HIV incidence and the frequency of fatal overdoses among PWID in two cities in the Ural Federal District and Siberian Federal District, where the prevalence of HIV is high or increasing in PWID.

methodsIn this modelling study, we developed a dynamic deterministic model that simulated transmission of HIV through injection drug use and sex among PWID. We calibrated this model to HIV prevalence data among PWID in two Russian cities: Omsk (which has high but increasing prevalence of HIV among PWID) and Ekaterinburg (which has very high but stable prevalence of HIV). The source data were from research studies supported by the Global Fund to Fight AIDS, Tuberculosis, and Malaria and US Centers for Disease Control and Prevention and surveillance studies from WHO and regional AIDS centres. We modelled the effects of no intervention scale-up (no use of harm reduction measures and 30% of HIV-positive PWID receiving ART) versus combinations of scaling up of OAT, receipt of high coverage of NSPs, and use of ART on the incidence of HIV infections, mortality from HIV, and the frequency of fatal overdoses from 2018 to 2028.

findingsWithout intervention, HIV prevalence among PWID in Omsk could increase from 30% in 2018 to 36% (2·5-97·5 percentile interval 22-52) in 2028 and remain high in Ekaterinburg, estimated at 60% (57-67) in 2028. Scaling up OAT to 50% coverage for a duration of 2 years could prevent 35% of HIV infections and 19% of deaths associated with HIV in Omsk and 20% (11-29) of HIV infections and 10% (4-14) of deaths associated with HIV in Ekaterinburg. Further, this scaling up could prevent 33% of overdose deaths over the next 10 years. Scaling up of NSPs and OAT to 50% coverage and tripling recruitment to ART (reaching about 65% of HIV-positive PWID) could prevent 58% (46-69) of HIV infections and 45% (36-54) of deaths associated with HIV in Omsk and 38% (26-50) of HIV infections and 32% (23-41) of deaths associated with HIV in Ekaterinburg by 2028.

interpretationLegalisation of OAT and increased use of ART and NSPs for PWID are urgently needed to prevent HIV and fatal overdose among PWID in Russia.

fundingNational Institutes of Health and Elton John AIDS Foundation.

Indexed as

Harm ReductionModels, StatisticalAnti-HIV AgentsDrug OverdoseEpidemiologic StudiesHealth PolicyHIV InfectionsHumansNarcotic AntagonistsNeedle-Exchange ProgramsPrevalenceRussiaSexual BehaviorSubstance Abuse, IntravenousAnti-HIV AgentsNarcotic Antagonists

Identifiers

PMID30033374
PMCPMC6188805
OpenAlexW2884490732

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.