Evidence map›Paper›PMID 19208338›Full record

ArticleGastroenterology2009

A mathematical model of hepatitis C virus dynamics in patients with high baseline viral loads or advanced liver disease.

Harel Dahari, Jennifer E Layden-Almer, Eric Kallwitz, Ruy M Ribeiro, Scott J Cotler, Thomas J Layden, Alan S Perelson

Open access · greenAbstract readComparative Study
In one paragraph

Article in Gastroenterology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 8% 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

30 citing papers in PubMed, 1 synthesis or guideline pooled it, 75 citations in OpenAlex.

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  16. A Robust and Efficient Numerical Method for RNA-Mediated Viral Dynamics.Frontiers in applied mathematics and statistics · 2017
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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

7 authors at 2 institutions in 1 country.

Harel DahariDepartment of Medicine, University of Illinois at Chicago, Chicago, Illinois, USA.
Jennifer E Layden-Almer
Eric Kallwitz
Ruy M Ribeiro
Scott J Cotler
Thomas J Layden
Alan S Perelson
University of Illinois Chicago · USLos Alamos National Laboratory · US

Funding

UNM COBRE: THEORETICAL STUDY OF SPECIFICITY OF RNA SILENCING MECHANISMP20RR018754 · NCRR · UNIVERSITY OF NEW MEXICO · PI LOKER, ERIC SAMUEL · 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 RR06555NIAID NIH HHS AI065256NIAID NIH HHS AI28433NIAID NIH HHS R01 AI028433NIAID NIH HHS R01 AI065256NIAID NIH HHS R37 AI028433NIAID NIH HHS R56 AI065256NIH HHS R01 OD011095
6 · The paper itself

Abstract

BACKGROUND &

aimsPatients with baseline hepatitis C virus-RNA levels (bHCV-RNA)>6 log IU/mL or cirrhosis have a reduced probability of a sustained-virologic response (SVR). We examined the relation between bHCV-RNA, cirrhosis, and SVR with a mathematical model that includes the critical-drug efficacy (epsilonc; the efficacy required for a drug to clear HCV), the infection-rate constant (beta), and the percentage of HCV-infected hepatocytes (pi).

methodsThe relation between baseline factors and SVR was evaluated in 1000 in silico HCV-infected patients, generated by random assignment of realistic host and viral kinetic parameters. Model predictions were compared with clinical data from 170 noncirrhotic and 75 cirrhotic patients.

resultsThe ranges chosen for beta and the viral production rate (p) resulted in bHCV-RNA levels that were in agreement with the distribution observed in US patients. With these beta and p values, higher bHCV-RNA levels led to higher epsilonc, resulting in lower SVR rates. However, higher beta values resulted in lower bHCV-RNA levels but higher pi and (epsilonc), predicting lower rates of SVR. Cirrhotic patients had lower bHCV-RNA levels than noncirrhotic patients (P=.013), and more had bHCV-RNA levels<6 log IU/mL (P<.001). Even cirrhotic patients with lower bHCV-RNA levels had lower SVR rates. An increase in beta could explain the results observed in cirrhotic patients.

conclusionsOur model predicts that higher bHCV-RNA levels lead to higher epsilonc, reducing the chance of achieving SVR; cirrhotic patients have lower SVR rates because of large pi values, caused by increased rates of hepatocyte infection.

Indexed as

Models, TheoreticalViral LoadAdultBiopsyCell ProliferationFemaleHepacivirusHumansLiverLiver CirrhosisMaleMiddle AgedRNA, ViralVirus ReplicationRNA, Viral

Identifiers

PMID19208338
PMCPMC2883911
OpenAlexW2145947181

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.