Evidence map›Paper›PMID 30238230›Full record

ReviewHepatology international2018

A changing paradigm: management and treatment of the HCV/HIV-co-infected patient.

Ameer Abutaleb, Kenneth E Sherman

Open access · greenAbstract readReview
In one paragraph

Review in Hepatology international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 29 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. [Expert consensus on antiviral therapy for HBV/HCV-related hepatocellular carcinoma: a 2021 update].Zhonghua gan zang bing za zhi = Zhonghua ganzangbing zazhi = Chinese journal of hepatology · 2021
    Article
  5. Review
  6. Article
  7. Innate Immunity in Hepatitis C Virus Infection.Cold Spring Harbor perspectives in medicine · 2021
    Review
  8. Article
  9. Article
  10. Article
  11. Observational
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 2 institutions in 1 country.

Ameer AbutalebDivision of Clinical Care and Research, Institute of Human Virology, University of Maryland, Baltimore, MD, USA.
Kenneth E ShermanDivision of Digestive Diseases, University of Cincinnati College of Medicine, Cincinnati, OH, 45267, USA. shermake@ucmail.uc.edu.
University of Cincinnati Medical Center · USUniversity of Maryland, Baltimore · US

Funding

Research Training in Gastroenterology and HepatologyT32DK067872 · NIDDK · UNIVERSITY OF MARYLAND BALTIMORE · PI RAUFMAN, JEAN-PIERRE · 2005 to 2024
$7.2M
NIDDK NIH HHS T32 DK067872
6 · The paper itself

Abstract

Hepatitis C virus (HCV) treatment in HIV/HCV co-infected individuals has renewed relevance given the ongoing opioid crisis and rise of new HIV and HCV infections associated with injection drug use. Patients co-infected with HIV and HCV demonstrate increased rates of hepatic fibrosis, progression to liver failure, and liver-related mortality. HIV co-infection does not impact outcomes of current HCV treatments, and patients should be treated the same as HCV mono-infected persons, though attention to drug:drug interactions is required. In this review, we discuss the mechanisms mediating injury to the liver in HIV mono-infection and HIV/HCV co-infection, and present the landmark trials of HCV treatment in HIV-infected individuals.

Indexed as

Antiviral AgentsCoinfectionDrug InteractionsDrug Therapy, CombinationHepatic Stellate CellsHepatitis CHepatocytesHIV InfectionsHumansLiver CirrhosisAntiviral AgentsCo-infectionDAADrug–drug interactionsHCVHIV

Identifiers

PMID30238230
PMCPMC6471674
OpenAlexW2891127452

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.