Evidence map›Paper›PMID 19331594›Full record

ReviewExpert opinion on drug metabolism & toxicology2009

Modeling HCV kinetics under therapy using PK and PD information.

Emi Shudo, Ruy M Ribeiro, Alan S Perelson

Abstract readReview
In one paragraph

Review in Expert opinion on drug metabolism & toxicology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

18 citing papers in PubMed.

  1. Trial
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  6. Article
  7. How to mathematically optimize drug regimens using optimal control.Journal of pharmacokinetics and pharmacodynamics · 2018
    Article
  8. Article
  9. Modelling hepatitis C therapy--predicting effects of treatment.Nature reviews. Gastroenterology & hepatology · 2015
    Review
  10. HCV Kinetic Models and Their Implications in Drug Development.CPT: pharmacometrics & systems pharmacology · 2015
    Review
  11. Article
  12. Viral kinetic modeling: state of the art.Journal of pharmacokinetics and pharmacodynamics · 2014
    Review
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. 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.

Emi ShudoTheoretical Biology and Biophysics, Los Alamos National Laboratory, MS-K710, New Mexico 87545, USA.
Ruy M Ribeiro
Alan S Perelson

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
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
NCRR NIH HHS P20 RR018754NCRR NIH HHS P20-RR18754NCRR NIH HHS R01 RR006555NCRR NIH HHS R01 RR06555-17NIAID NIH HHS AI065256NIAID NIH HHS R01 AI028433NIAID NIH HHS R37 AI028433NIAID NIH HHS R37 AI28433-18NIH HHS R01 OD011095
6 · The paper itself

Abstract

backgroundMathematical models have proven helpful in analyzing the virological response to antiviral therapy in hepatitis C virus (HCV) infected subjects.

objectiveTo summarize the uses and limitations of different models for analyzing HCV kinetic data under pegylated IFN therapy.

methodsWe formulate mathematical models and fit them by nonlinear least square regression to patient data to estimate model parameters. We compare the goodness of fit and parameter values estimated by different models statistically. RESULTS/

conclusionThe best model for parameter estimation depends on the availability and the quality of data as well as the therapy used. We also discuss the mathematical models that will be needed to analyze HCV kinetic data from clinical trials with new antiviral drugs.

Indexed as

Models, BiologicalAntiviral AgentsHepacivirusHepatitis CHumansInterferon-alphaInterferon alpha-2Least-Squares AnalysisPolyethylene GlycolsRecombinant ProteinsRNA, ViralAntiviral AgentsInterferon-alphaInterferon alpha-2peginterferon alfa-2apeginterferon alfa-2bPolyethylene GlycolsRecombinant ProteinsRNA, Viral

Identifiers

PMID19331594
PMCPMC2872514

What OpenQuestion holds

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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.