Evidence map›Paper›PMID 18081371›Full record

ReviewDrugs2008

Nonresponse to treatment for hepatitis C: current management strategies.

He-Jun Yuan, William M Lee

Abstract readReview
PubMed Publisher
In one paragraph

Review in Drugs, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.3field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. 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

2 authors at 1 institution in 1 country.

He-Jun YuanDivision of Digestive and Liver Diseases, University of Texas Southwestern Medical School, Dallas, Texas 75390-8887, USA.
William M Lee
The University of Texas Southwestern Medical Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic hepatitis C affects >170 million people worldwide, causing cirrhosis and liver cancer in a sizeable proportion of patients. Substantial progress has been made in the treatment of chronic hepatitis C. More than 50% of patients can achieve sustained virological response after 24-48 weeks of interferon and ribavirin combination therapy, making chronic hepatitis C a potentially curable disease. However, a large proportion of patients with chronic hepatitis C do not clear the virus after current standard therapy. Hepatitis C virus develops two pathways to counteract the antiviral effect of interferon. Some chronic hepatitis C patients may have a virus that is more resistant to interferon therapy, while other patients appear to have defective immune responses or poor tolerance or compliance to interferon-based antiviral therapy. The possible strategies to improve antiviral efficiency in these nonresponders are to increase the dosage, prolong the duration of treatment and improve the compliance of patients. A total of 6-15% of prior nonresponders to standard interferon plus ribavirin therapy will respond to re-treatment with peginterferon plus ribavirin, while 32-50% of patients who have relapsed will respond to re-treatment. New small molecules are under development to treat chronic hepatitis C and may be important particularly in the treatment of prior nonresponders to current standard therapy.

Indexed as

Drug Resistance, ViralAntiviral AgentsDose-Response Relationship, DrugDrug Administration ScheduleDrugs, InvestigationalHepacivirusHepatitis C, ChronicHumansInterferonsPatient CompliancePolyethylene GlycolsRibavirinTreatment FailureAntiviral AgentsDrugs, InvestigationalInterferonsPolyethylene GlycolsRibavirin

Identifiers

PMID18081371
OpenAlexW2062829985

What OpenQuestion holds

Textmetadata
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.