Evidence map›Paper›PMID 26845310›Full record

ArticleJournal of theoretical biology2016

Conditions for eradicating hepatitis C in people who inject drugs: A fibrosis aware model of hepatitis C virus transmission.

Ignacio Rozada, Daniel Coombs, Viviane D Lima

Abstract read
In one paragraph

Article in Journal of theoretical biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–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

5 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. 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

3 authors.

Ignacio RozadaBritish Columbia Centre for Excellence in HIV/AIDS, St. Paul׳s Hospital, Vancouver, BC, Canada V6Z 1Y6. Electronic address: irozada@cfenet.ubc.ca.
Daniel CoombsDepartment of Mathematics and Institute of Applied Mathematics, University of British Columbia, Vancouver, BC, Canada V6T 1Z2. Electronic address: coombs@math.ubc.ca.
Viviane D LimaBritish Columbia Centre for Excellence in HIV/AIDS, St. Paul׳s Hospital, Vancouver, BC, Canada V6Z 1Y6; Department of Medicine, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada V6T 1Z3. Electronic address: vlima@cfenet.ubc.ca.

Funding

Modeling different strategies to reduce the public health impact of the HCV/HIV eR03DA033851 · NIDA · UNIVERSITY OF BRITISH COLUMBIA · PI LIMA, VIVIANE DIAS · 2012 to 2013
$55k
Canadian Institutes of Health Research MOP-125948NIDA NIH HHS R03 DA033851NIDA NIH HHS R03DA033851
6 · The paper itself

Abstract

It is estimated that 80% of new hepatitis C virus (HCV) infections occur among people who inject drugs (PWID). Eradicating HCV from this population is key for the complete eradication of the disease, and the advent of simple to use, high efficacy treatments could conceivably make this scenario possible. This paper presents a mathematical model where transmission of HCV is studied in a simulated population of PWID where fibrosis progression is explicitly tracked. The stability thresholds that determine whether HCV will remain endemic or become eradicated were established numerically, and analytically on a reduced version of the model. Conditions on testing and treatment rates for eradication to occur were determined, within the context of the new high efficacy therapies. The results show that HCV eradication in the PWID population of the Vancouver, BC test scenario is achievable, but testing and especially treatment rates will need to increase significantly from current rates. Parameter estimates were drawn from published data.

Indexed as

Hepatitis CModels, BiologicalFemaleHumansLiver CirrhosisMaleSubstance-Related DisordersBasic reproduction numberFibrosisHCVMathematical modelStability

Identifiers

PMID26845310
PMCPMC6736523

What OpenQuestion holds

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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.