Evidence map›Paper›PMID 35271634›Full record

ArticlePloS one2022

Modeling hepatitis C micro-elimination among people who inject drugs with direct-acting antivirals in metropolitan Chicago.

Eric Tatara, Alexander Gutfraind, Nicholson T Collier, Desarae Echevarria, Scott J Cotler, Marian E Major, Jonathan Ozik, Harel Dahari, Basmattee Boodram

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

13 citing papers in PubMed, 17 citations in OpenAlex.

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  12. DISTRIBUTED AGENT-BASED SIMULATION WITH REPAST4PY.Proceedings of the ... Winter Simulation Conference. Winter Simulation Conference · 2022
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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

9 authors at 4 institutions in 1 country.

Eric TataraConsortium for Advanced Science and Engineering, University of Chicago, Chicago, Illinois, United States of America.
Alexander GutfraindThe Program for Experimental & Theoretical Modeling, Division of Hepatology, Department of Medicine, Stritch School of Medicine, Loyola University Chicago, Maywood, Illinois, United States of America.ORCID 0000-0002-3324-2220
Nicholson T CollierConsortium for Advanced Science and Engineering, University of Chicago, Chicago, Illinois, United States of America.
Desarae EchevarriaThe Program for Experimental & Theoretical Modeling, Division of Hepatology, Department of Medicine, Stritch School of Medicine, Loyola University Chicago, Maywood, Illinois, United States of America.
Scott J CotlerThe Program for Experimental & Theoretical Modeling, Division of Hepatology, Department of Medicine, Stritch School of Medicine, Loyola University Chicago, Maywood, Illinois, United States of America.
Marian E MajorDivision of Viral Products, Center for Biologics Evaluation and Research, Food and Drug Administration, Silver Spring, Maryland, United States of America.
Jonathan OzikConsortium for Advanced Science and Engineering, University of Chicago, Chicago, Illinois, United States of America.ORCID 0000-0002-3495-6735
Harel DahariThe Program for Experimental & Theoretical Modeling, Division of Hepatology, Department of Medicine, Stritch School of Medicine, Loyola University Chicago, Maywood, Illinois, United States of America.
Basmattee BoodramDivision of Community Health Sciences, School of Public Health, University of Illinois at Chicago, Chicago, Illinois, United States of America.
Loyola University Chicago · USArgonne National Laboratory · USCenter for Biologics Evaluation and Research · USUniversity of Illinois Chicago · US

Funding

Computational modeling for HCV vaccine trial design and optimal vaccine-based combination interventionsR01AI158666 · NIAID · LOYOLA UNIVERSITY CHICAGO · PI Basmattee Boodram, Harel Dahari · 2022 to 2026
$3.5M
Contextual risk factors for hepatitis C among young persons who inject drugsR01DA043484 · NIDA · UNIVERSITY OF ILLINOIS AT CHICAGO · PI BOODRAM, BASMATTEE · 2017 to 2021
$2.9M
Computational discovery of effective hepatitis C intervention strategiesR01GM121600 · NIGMS · LOYOLA UNIVERSITY CHICAGO · PI BOODRAM, BASMATTEE, DAHARI, HAREL · 2017 to 2021
$2.0M
NIAID NIH HHS R01 AI158666NIDA NIH HHS R01 DA043484NIGMS NIH HHS R01 GM121600
6 · The paper itself

Abstract

Hepatitis C virus (HCV) infection is a leading cause of chronic liver disease and mortality worldwide. Direct-acting antiviral (DAA) therapy leads to high cure rates. However, persons who inject drugs (PWID) are at risk for reinfection after cure and may require multiple DAA treatments to reach the World Health Organization's (WHO) goal of HCV elimination by 2030. Using an agent-based model (ABM) that accounts for the complex interplay of demographic factors, risk behaviors, social networks, and geographic location for HCV transmission among PWID, we examined the combination(s) of DAA enrollment (2.5%, 5%, 7.5%, 10%), adherence (60%, 70%, 80%, 90%) and frequency of DAA treatment courses needed to achieve the WHO's goal of reducing incident chronic infections by 90% by 2030 among a large population of PWID from Chicago, IL and surrounding suburbs. We also estimated the economic DAA costs associated with each scenario. Our results indicate that a DAA treatment rate of >7.5% per year with 90% adherence results in 75% of enrolled PWID requiring only a single DAA course; however 19% would require 2 courses, 5%, 3 courses and <2%, 4 courses, with an overall DAA cost of $325 million to achieve the WHO goal in metropolitan Chicago. We estimate a 28% increase in the overall DAA cost under low adherence (70%) compared to high adherence (90%). Our modeling results have important public health implications for HCV elimination among U.S. PWID. Using a range of feasible treatment enrollment and adherence rates, we report robust findings supporting the need to address re-exposure and reinfection among PWID to reduce HCV incidence.

Indexed as

Drug UsersHepatitis CHepatitis C, ChronicSubstance Abuse, IntravenousAntiviral AgentsChicagoHepacivirusHumansReinfectionAntiviral Agents

Identifiers

PMID35271634
PMCPMC8912265
OpenAlexW4220653263

What OpenQuestion holds

Textmetadata
LicenceCC0
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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.