Evidence map›Paper›PMID 23186606›Full record

ReviewAntiviral therapy2012

Mathematical modelling of HCV infection: what can it teach us in the era of direct-acting antiviral agents?

Anushree Chatterjee, Jeremie Guedj, Alan S Perelson

Abstract readReview
In one paragraph

Review in Antiviral therapy, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
4.0field-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

25 citing papers in PubMed, 65 citations in OpenAlex.

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  11. Modeling Viral Spread.Annual review of virology · 2016
    Review
  12. A review of disease progression models of Parkinson's disease and applications in clinical trials.Movement disorders : official journal of the Movement Disorder Society · 2016
    Review
  13. Article
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  20. Review
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 at 1 institution in 1 country.

Anushree ChatterjeeTheoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, NM, USA.
Jeremie Guedj
Alan S Perelson
Los Alamos National Laboratory · US

Funding

UNM COBRE: THEORETICAL STUDY OF SPECIFICITY OF RNA SILENCING MECHANISMP20RR018754 · NCRR · UNIVERSITY OF NEW MEXICO · PI WEARING, HELEN JANE · 2003 to 2011
$16.7M
Collaborative Integration of HCV Molecular Virology and Mathematical ModelingR01AI078881 · NIAID · UNIVERSITY OF ILLINOIS AT CHICAGO · PI PERELSON, ALAN S, UPRICHARD, SUSAN L. · 2011 to 2025
$7.5M
HIV Antiretroviral Therapy and Hepatic InjuryR01AI065256 · NIAID · UNIVERSITY OF CINCINNATI · PI SHERMAN, KENNETH E · 2006 to 2019
$5.5M
Modeling Viral and T Lymphocyte DynamicsR01OD011095 · OD · TRIAD NATIONAL SECURITY, LLC · PI PERELSON, ALAN S · 2012 to 2024
$5.0M
MODELING VIRAL AND T LYMPHOCYTE DYNAMICSR01RR006555 · NCRR · UNIVERSITY OF CALIF-LOS ALAMOS NAT LAB · PI PERELSON, ALAN S · 1991 to 2011
$3.9M
Immune System Modeling/HIVR01AI028433 · NIAID · UNIVERSITY OF CALIF-LOS ALAMOS NAT LAB · PI PERELSON, ALAN S · 1990 to 2021
$3.7M
Immune System Modeling/HIVR37AI028433 · NIAID · UNIVERSITY OF CALIF-LOS ALAMOS NAT LAB · PI PERELSON, ALAN S · 2002 to 2011
$2.4M
HIV Antiretroviral Therapy and Hepatic InjuryR56AI065256 · NIAID · UNIVERSITY OF CINCINNATI · PI SHERMAN, KENNETH E · 2014 to 2014
$535k
Collaborative Integration of HCV Molecular Virology and Mathematical ModelingR56AI078881 · NIAID · UNIVERSITY OF ILLINOIS AT CHICAGO · PI PERELSON, ALAN S, UPRICHARD, SUSAN L. · 2010 to 2010
$421k
NCRR NIH HHS P20 RR018754NCRR NIH HHS P20-RR018754NCRR NIH HHS R01 RR006555NIAID NIH HHS AI028433NIAID NIH HHS AI065256NIAID NIH HHS AI078881NIAID NIH HHS R01 AI028433NIAID NIH HHS R01 AI065256NIAID NIH HHS R37 AI028433NIAID NIH HHS R56 AI065256NIH HHS 8R01-OD011095-21NIH HHS R01 OD011095
6 · The paper itself

Abstract

HCV infection is a major cause of chronic liver disease and affects nearly 170 million people worldwide. Whereas the previous standard of care with pegylated interferon and ribavirin had a modest effectiveness, the recent approval of two highly potent protease inhibitors and the ongoing development of dozens of direct-acting antiviral agents (DAAs) constitute a major milestone for HCV therapy. Mathematical modelling of viral kinetics under treatment has played an instrumental role in improving our understanding of virus pathogenesis and in guiding drug development. Here, we review the current state of HCV kinetic modelling, and challenges to the standard biphasic viral decline model that arise when fitting viral kinetic models to data obtained with DAAs.

Indexed as

Models, BiologicalAntiviral AgentsDrug Resistance, ViralHepacivirusHepatitis C, ChronicHumansKineticsProtease InhibitorsViral LoadVirus ReplicationAntiviral AgentsProtease Inhibitors

Identifiers

PMID23186606
PMCPMC3641583
OpenAlexW1996596333

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.