Evidence map›Paper›PMID 28643186›Full record

ReviewHepatology international2017

Current progress in host innate and adaptive immunity against hepatitis C virus infection.

Jijing Shi, Yuanyuan Li, Wenxian Chang, Xuexiu Zhang, Fu-Sheng Wang

Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in Hepatology international, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04244383 (Expression of Inflammasomes in HCV Patients Before and After Treatment), which is not on this map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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.

NCT04244383 phase4unknown statusnot on this mapstarted 2020, after this paper: background citation

Expression of Inflammasomes in HCV Patients Before and After Treatment

TypeinterventionalSponsorAssiut UniversityRan2020 to 2020Enrolled50ConditionsHepatitis CArmsinterleukin IL-1beta and interleukin IL-18
3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Genetic Variants inFrontiers in immunology · 2021
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Observational
  11. 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

5 authors.

Jijing ShiDepartment of Infectious Diseases, Beijing 302 Hospital, Beijing, 100039, China.
Yuanyuan LiDepartment of Infectious Diseases, Beijing 302 Hospital, Beijing, 100039, China.
Wenxian ChangBengbu Medical College, Bengbu, 233000, China.
Xuexiu ZhangDepartment of Gastroenterology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 460000, China.
Fu-Sheng WangDepartment of Infectious Diseases, Beijing 302 Hospital, Beijing, 100039, China. fswang302@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hepatitis C virus (HCV) infects more than 170 million people worldwide and is the main cause of chronic hepatitis, liver cirrhosis and hepatocellular carcinoma. Although the newly developed direct-acting antivirals (DAAs) have transformed the treatment of HCV infection, controlling HCV infection on a global scale remains a challenge because of the high cost, low resistance barrier of DAAs and lack of HCV vaccine. The host immune responses associated with HCV infection, especially HCV-specific T cellular immunity, determine the outcome of HCV infection: either acute or chronic infection. It is important to fully interpret the immunopathogenesis of HCV infection and consequently to exploit effective strategies to eliminate HCV. Here, we review the current progress in HCV immunology, which will deepen our understanding of the spectrum of HCV infection and immunity in humans.

Indexed as

Adaptive ImmunityHepacivirusHepatitis CHumansImmunity, InnateAntiviral treatmentDirect-acting antiviralsHepatitis C virusImmune response

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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.