Evidence map›Paper›PMID 21282185›Full record

Trial reportClinical infectious diseases : an official publication of the Infectious Diseases Society of America2011

Patterns and characteristics of hepatitis C transmission clusters among HIV-positive and HIV-negative individuals in the Australian trial in acute hepatitis C.

G V Matthews, S T Pham, M Hellard, J Grebely, L Zhang, A Oon, P Marks, I van Beek, W Rawlinson, J M Kaldor and 4 more

Registry-linked trialOpen access · bronzeAbstract readClinical Trial
In one paragraph

Trial report in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT00192569 (Australian Trial in Acute Hepatitis C), which is not on this map. Cited by 51 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 2 pooled it
5.4field-weighted citation impact, top 3% 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.

NCT00192569 phase4completednot on this map

Australian Trial in Acute Hepatitis C

TypeinterventionalSponsorKirby InstituteRan2004 to 2010Enrolled167ConditionsHepatitis CArmsPegylated Interferon alfa 2a, Ribavirin (HIV conifected patients only)
3 · Its place in the literature

Who cites it

51 citing papers in PubMed, 2 syntheses or guidelines pooled it, 102 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Inconsistent temporal patterns of genetic variation of HCV among high-risk subjects may impact inference of transmission networks.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2019
    Article
  11. Article
  12. Article
  13. Review
  14. Complex patterns of Hepatitis-C virus longitudinal clustering in a high-risk population.Infection, genetics and evolution : journal of molecular epidemiology and evolutionary genetics in infectious diseases · 2018
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article
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

14 authors at 4 institutions in 1 country.

G V MatthewsNational Centre in HIV Epidemiology and Clinical Research, University of New South Wales, Australia. matthews@nchecr.unsw.edu.au
S T Pham
M Hellard
J Grebely
L Zhang
A Oon
P Marks
I van Beek
W Rawlinson
J M Kaldor
A Lloyd
G J Dore
P A White
ATAHC Study Group
National Centre for Clinical Research on Emerging Drugs · AUUNSW Sydney · AUBurnet Institute · AUPrince of Wales Hospital · AU

Funding

Treatment of recently acquired hepatitis C virus infectionR01DA015999 · NIDA · UNIVERSITY OF NEW SOUTH WALES · PI DORE, GREGORY JOHN · 2003 to 2014
$3.7M
NIDA NIH HHS R01 DA015999PHS HHS R01 15999-01
6 · The paper itself

Abstract

backgroundInjecting drug users remain the population at greatest risk of acquiring hepatitis C virus (HCV) infection, although a recent increase in cases of sexually transmitted HCV infection has been observed among human immunodeficiency virus (HIV)-infected individuals. The extent to which these separate epidemics overlap is unknown.

methodsThe Australian Trial in Acute Hepatitis C (ATAHC) enrolled 163 individuals (29% of whom were HIV infected) with recent HCV infection. E1/HVR1 sequences were used to construct phylogenetic trees demonstrating monophyletic clusters or pairs, and viral epidemic history and phylogeography were assessed using molecular clock analysis. Individual clusters were characterized by clinical and demographic characteristics.

resultsTransmission through injection drug use occurred for 73% of subjects, with sexual transmission occurring for 18% (92% of whom were HIV infected). Among 112 individuals with available E1/HVR1 sequences, 23 (20%) were infected with a strain of HCV identical to that of another subject, comprising 4 homologous clusters and 3 monophyletic pairs, the majority of which (78%) were HIV infected. Clusters contained individuals with both injection drug use-related and sex-related acquisition, and in all clusters (except for 1 female HIV-uninfected pair), individuals identified as men who have sex with men, irrespective of HIV status.

conclusionsThis large unique study of HIV-infected and HIV-uninfected individuals with recently acquired HCV infection demonstrates that clustering is common in the HIV-infected population and that it occurred almost invariably among men who have sex with men, irrespective of the actual mode of acquisition. These findings suggest the coexistence of both injection drug use and sexual risk behaviors for individuals in the same social networks and have implications for the development of public health messages. Clinical trial registration. NCT00192569.

Indexed as

AdultAustraliaCluster AnalysisDrug UsersFemaleHepatitis CHIV InfectionsHumansMaleMiddle AgedPhylogeographyRNA, ViralSequence Analysis, DNASequence HomologySubstance Abuse, IntravenousViral Envelope ProteinsE1 protein, Hepatitis C virusHVR1 protein, Hepatitis C virusRNA, ViralViral Envelope ProteinsViral Proteins

Identifiers

PMID21282185
PMCPMC3106259
OpenAlexW2110117592

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.