Evidence map›Paper›PMID 34448809›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2022

Identification of Genetically Related HCV Infections Among Self-Described Injecting Partnerships.

Damien C Tully, Judith A Hahn, David J Bean, Jennifer L Evans, Meghan D Morris, Kimberly Page, Todd M Allen

Abstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Damien C TullyDepartment of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Judith A HahnDepartment of Medicine, University of California, San Francisco, California, USA.
David J BeanRagon Institute of MGH, MIT and Harvard, Cambridge, Massachusetts, USA.
Jennifer L EvansDepartment of Epidemiology and Biostatistics, University of California, San Francisco, California, USA.
Meghan D MorrisDepartment of Epidemiology and Biostatistics, University of California, San Francisco, California, USA.
Kimberly PageDepartment of Internal Medicine, University of New Mexico Health Center, Albuquerque, New Mexico, USA.
Todd M AllenRagon Institute of MGH, MIT and Harvard, Cambridge, Massachusetts, USA.

Funding

Virology CoreU19AI082630 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI ARTHUR Y KIM · 2009 to 2026
$48.1M
Acute Hepatitis C Infection in Young InjectorsR01DA016017 · NIDA · UNIVERSITY OF NEW MEXICO HEALTH SCIS CTR · PI PAGE, KIMBERLY · 2002 to 2018
$14.0M
Next-Generation Sequencing Center for GHOSTing Hepatitis C Virus: Transforming Community Based Molecular Surveillance and Outbreak InvestigationU24DA044801 · NIDA · MASSACHUSETTS GENERAL HOSPITAL · PI ALLEN, TODD M · 2017 to 2022
$3.3M
Training in Research Program on Alcohol Use by Persons with our at Risk for HIVK24AA022586 · NIAAA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HAHN, JUDITH ALISSA · 2013 to 2023
$1.8M
Understanding the interpersonal context of HIV/HCV risk within injecting dyadsK01DA037802 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MORRIS, MEGHAN D · 2014 to 2018
$913k
NIAAA NIH HHS K24 AA022586NIAID NIH HHS U19 AI082630NIDA NIH HHS K01 DA037802NIDA NIH HHS R01 DA016017NIDA NIH HHS U24 DA044801
6 · The paper itself

Abstract

backgroundThe current opioid epidemic across the United States has fueled a surge in the rate of new hepatitis C virus (HCV) infections among young persons who inject drugs (PWIDs). Paramount to interrupting transmission is targeting these high-risk populations and understanding the underlying network structures facilitating transmission within these communities.

methodsDeep sequencing data were obtained for 52 participants from 32 injecting partnerships enrolled in the U-Find-Out (UFO) Partner Study, which is a prospective study of self-described injecting dyad partnerships from a large community-based study of HCV infection in young adult PWIDs from San Francisco. Phylogenetically linked transmission events were identified using traditional genetic-distance measures and viral deep sequence phylogenies reconstructed to determine the statistical support of inferences and the direction of transmission within partnerships.

resultsUsing deep sequencing data, we found that 12 of 32 partnerships were genetically similar and clustered. Three additional phylogenetic clusters were found describing novel putative transmission links outside of the injecting relationship. Transmission direction was inferred correctly for 5 partnerships with the incorrect transmission direction inferred in more than 50% of cases. Notably, we observed that phylogenetic linkage was most often associated with a lower number of network partners and involvement in a sexual relationship.

conclusionsDeep sequencing of HCV among self-described injecting partnerships demonstrates that the majority of transmission events originate from outside of the injecting partnership. Furthermore, these findings caution that phylogenetic methods may be unable to routinely infer the direction of transmission among PWIDs especially when transmission events occur in rapid succession within high-risk networks.

Indexed as

Drug UsersHepatitis CHIV InfectionsSubstance Abuse, IntravenousHepacivirusHumansNeedle SharingPhylogenyProspective StudiesSexual PartnersYoung Adultdeep sequencinghepatitis C virusinjection drug usemolecular epidemiologyphylogenetic

Identifiers

PMID34448809
PMCPMC8946742

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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.