Evidence map›Paper›PMID 23997950›Full record

ArticleHepatitis research and treatment2013

Interferon- α -Induced Changes to Natural Killer Cells Are Associated with the Treatment Outcomes in Patients with HCV Infections.

Shinji Shimoda, Kosuke Sumida, Sho Iwasaka, Satomi Hisamoto, Hironori Tanimoto, Hideyuki Nomura, Kazufumi Dohmen, Kazuhiro Takahashi, Akira Kawano, Eiichi Ogawa and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Hepatitis research and treatment, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 42% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Review
  2. Natural killer cells in hepatitis C: Current progress.World journal of gastroenterology · 2016
    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

13 authors at 6 institutions in 1 country.

Shinji ShimodaDepartment of Medicine and Biosystemic Science, Graduate School of Medical Science, Kyushu University, Fukuoka 812-8252, Japan.
Kosuke Sumida
Sho Iwasaka
Satomi Hisamoto
Hironori Tanimoto
Hideyuki Nomura
Kazufumi Dohmen
Kazuhiro Takahashi
Akira Kawano
Eiichi Ogawa
Norihiro Furusyo
Koichi Akashi
Jun Hayashi
Kyushu University · JPKyushu University Hospital · JPShinKokura Hospital · JPFukuoka Hospital · JPHamanomachi Hospital · JPKitakyushu Municipal Medical Center · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim. We analyzed the pretreatment natural killer (NK) cell functions with the aim of predicting the sustained virological response (SVR) or the interleukin (IL) 28B polymorphism that is strongly associated with the treatment response. Methods. The peripheral NK cells from chronic hepatitis patients with HCV genotype 1 and high virus titers were activated using a Toll-like receptor (TLR) 4 ligand and IFN- α . The cell surface markers were evaluated using a flow cytometric analysis, and IFN- γ production was evaluated using an enzyme-linked immunosorbent assay (ELISA). The genotyping of the polymorphisms in the IL28B gene region (rs8099917) on chromosome 19 was performed on the DNA collected from each patient. Results. The production of IFN- γ was significantly higher in the SVR patients compared with the no-response (NR) patients, whereas the cell surface markers were similar between the SVR and the NR patients. There were no significant differences found in the IL28B genotype distribution associated with the production of IFN- γ . Conclusion. Differences in the NK cell functions were observed between the SVR patients and the NR patients, suggesting that NK cells play a potential role in the treatment response independent of the IL28B genotype.

Identifiers

PMID23997950
PMCPMC3755421
OpenAlexW2102071254

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LicenceCC BY
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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.