Evidence map›Paper›PMID 25251042›Full record

ArticleLiver international : official journal of the International Association for the Study of the Liver2015

Sustained virological response with intravenous silibinin: individualized IFN-free therapy via real-time modelling of HCV kinetics.

Harel Dahari, Shimon Shteingart, Inna Gafanovich, Scott J Cotler, Massimo D'Amato, Ralf T Pohl, Gali Weiss, Yaakov J Ashkenazi, Thomas Tichler, Eran Goldin and 1 more

Open access · greenAbstract read
In one paragraph

Article in Liver international : official journal of the International Association for the Study of the Liver, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

27 citing papers in PubMed, 34 citations in OpenAlex.

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  14. Early HCV viral kinetics under DAAs may optimize duration of therapy in patients with compensated cirrhosis.Liver international : official journal of the International Association for the Study of the Liver · 2019
    Article
  15. Antiviral Activities of Silymarin and Derivatives.Molecules (Basel, Switzerland) · 2019
    Review
  16. Article
  17. A Robust and Efficient Numerical Method for RNA-Mediated Viral Dynamics.Frontiers in applied mathematics and statistics · 2017
    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

11 authors at 2 institutions in 2 countries.

Harel DahariThe Program for Experimental and Theoretical Modeling, Division of Hepatology, Department of Medicine, Loyola University Medical Center, Maywood, IL, USA; Theoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, NM, USA.
Shimon Shteingart
Inna Gafanovich
Scott J Cotler
Massimo D'Amato
Ralf T Pohl
Gali Weiss
Yaakov J Ashkenazi
Thomas Tichler
Eran Goldin
Yoav Lurie
Shaare Zedek Medical Center · ILLoyola University Medical Center · US

Funding

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
Pilot Project ProgramP30GM110907 · NIGMS · UNIVERSITY OF NEW MEXICO · PI LOKER, ERIC SAMUEL · 2014 to 2018
$5.4M
COBRE Center for Evolutionary and Theoretical ImmunologyP20GM103452 · NIGMS · UNIVERSITY OF NEW MEXICO · PI LOKER, ERIC SAMUEL · 2012 to 2013
$4.2M
NIAID NIH HHS R01 AI078881NIAID NIH HHS R01-AI078881NIGMS NIH HHS P20 GM103452NIGMS NIH HHS P20-GM103452NIGMS NIH HHS P30 GM110907
6 · The paper itself

Abstract

BACKGROUND &

aimsIntravenous silibinin (SIL) is a potent antiviral agent against hepatitis C virus (HCV) genotype-1. In this proof of concept case-study we tested: (i) whether interferon-alfa (IFN)-free treatment with SIL plus ribavirin (RBV) can achieve sustained virological response (SVR); (ii) whether SIL is safe and feasible for prolonged duration of treatment and (iii) whether mathematical modelling of early on-treatment HCV kinetics can guide duration of therapy to achieve SVR.

methodsA 44 year-old female HCV-(genotype-1)-infected patient who developed severe psychiatric adverse events to a previous course of pegIFN+RBV, initiated combination treatment with 1200 mg/day of SIL, 1200 mg/day of RBV and 6000 u/day vitamin D. Blood samples were collected frequently till week 4, thereafter every 1-12 weeks until the end of therapy. The standard biphasic mathematical model with time-varying SIL effectiveness was used to predict the duration of therapy to achieve SVR.

resultsBased on modelling the observed viral kinetics during the first 3 weeks of treatment, SVR was predicted to be achieved within 34 weeks of therapy. Provided with this information, the patient agreed to complete 34 weeks of treatment. IFN-free treatment with SIL+RBV was feasible, safe and achieved SVR (week-33).

conclusionsWe report, for the first time, the use of real-time mathematical modelling of HCV kinetics to individualize duration of IFN-free therapy and to empower a patient to participate in shared decision making regarding length of treatment. SIL-based individualized therapy provides a treatment option for patients who do not respond to or cannot receive other HCV agents and should be further validated.

Indexed as

AdultAntiviral AgentsDrug Therapy, CombinationFemaleHepacivirusHepatitis CHumansInjections, IntravenousKineticsModels, BiologicalPrecision MedicineRibavirinRNA, ViralSilybinSilymarinTime FactorsAntiviral AgentsRibavirinRNA, ViralSilybinSilymarinhepatitis Cindividualized therapyinterferon-free treatmentmathematical modellingsilibininsustained virological responseviral kinetics

Identifiers

PMID25251042
PMCPMC4304917
OpenAlexW2081551861

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.