Evidence map›Paper›PMID 24662995›Full record

Trial reportPloS one2014

IL28B polymorphisms and clinical implications for hepatitis C virus infection in Uzbekistan.

Dinara Khudayberganova, Masaya Sugiyama, Naohiko Masaki, Nao Nishida, Motokazu Mukaide, Dildora Sekler, Renat Latipov, Kan Nataliya, Suyarkulova Dildora, Said Sharapov and 4 more

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in PloS one, 2014. 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
1.0field-weighted citation impact, top 24% 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, 10 citations in OpenAlex.

  1. Article
  2. Cytology and genetics · 2016
    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

14 authors at 2 institutions in 2 countries.

Dinara KhudayberganovaDepartment of Hepatic Diseases, The Research Center for Hepatitis and Immunology, National Center for Global Health and Medicine, Ichikawa, Japan; Institute of Virology, Ministry of Public Health of Uzbekistan, Tashkent, Uzbekistan.
Masaya SugiyamaDepartment of Hepatic Diseases, The Research Center for Hepatitis and Immunology, National Center for Global Health and Medicine, Ichikawa, Japan.
Naohiko MasakiDepartment of Hepatic Diseases, The Research Center for Hepatitis and Immunology, National Center for Global Health and Medicine, Ichikawa, Japan.
Nao NishidaDepartment of Hepatic Diseases, The Research Center for Hepatitis and Immunology, National Center for Global Health and Medicine, Ichikawa, Japan.
Motokazu MukaideDepartment of Hepatic Diseases, The Research Center for Hepatitis and Immunology, National Center for Global Health and Medicine, Ichikawa, Japan.
Dildora SeklerInstitute of Virology, Ministry of Public Health of Uzbekistan, Tashkent, Uzbekistan.
Renat LatipovInstitute of Virology, Ministry of Public Health of Uzbekistan, Tashkent, Uzbekistan.
Kan NataliyaInstitute of Virology, Ministry of Public Health of Uzbekistan, Tashkent, Uzbekistan.
Suyarkulova DildoraInstitute of Virology, Ministry of Public Health of Uzbekistan, Tashkent, Uzbekistan.
Said SharapovInstitute of Virology, Ministry of Public Health of Uzbekistan, Tashkent, Uzbekistan.
Guzal UsmanovaInstitute of Virology, Ministry of Public Health of Uzbekistan, Tashkent, Uzbekistan.
Mahmarajab RaxmanovInstitute of Virology, Ministry of Public Health of Uzbekistan, Tashkent, Uzbekistan.
Erkin MusabaevInstitute of Virology, Ministry of Public Health of Uzbekistan, Tashkent, Uzbekistan.
Masashi MizokamiDepartment of Hepatic Diseases, The Research Center for Hepatitis and Immunology, National Center for Global Health and Medicine, Ichikawa, Japan.
Ministry of Health of the Republic of Uzbekistan · UZNational Center for Global Health and Medicine · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsGenome-wide association studies highlighted single nucleotide polymorphisms (SNPs) within the IFNL3/IL28B locus predict the treatment outcome for patients with HCV. Furthermore, SNPs in newly discovered IFNL4 are shown to have population-specific correlation with spontaneous clearance of HCV. The aim of this study was to examine the prevalence and clinical significance of the outlined SNPs in a population from Central Asia, a multi-ethnic region with a developing economy and a high prevalence of HCV infection.

methodsOne hundred and thirty-five chronic HCV patients from Uzbekistan were enrolled. DNA specimens were extracted from peripheral blood mononuclear cells and the IFNL3 SNPs (rs8099917, rs12979860) were genotyped by the Invader Plus assay, the TaqMan assay, and by direct sequence analysis. The IFL4 region (ss469415590) was sequenced.

resultsOf the 135 patients that completed 24 or 48 weeks of treatment with Peg-IFN-α plus RBV, 87.4% were of Central Asian (CA) ancestry and 12.6% were of Eastern European (EE) ancestry. A non-virological response was observed in 21.2% of CA and in 35.3% of EE, respectively (p<0.32). The rs12979860 was strongly associated with treatment response (OR, 5.2; 95% CI, 1.9-14.6; p<0.004) in the overall sample; however, SNP rs8099917 was the most predictive of outcome for CA group (OR, 6.9; 95% CI, 2.6-18.0; p<0.002). The allele frequency of IFNL4 SNP, ss469415590, was identical with that of rs12979860 in all samples.

conclusionsSNPs in IFNL3 and IFNL4 can be used to predict HCV treatment outcome in a population of Central Asian ancestry.

Indexed as

HepacivirusHepatitis CPolymorphism, Single NucleotideAdultAntiviral AgentsAsian PeopleFemaleHumansInterferon-alphaInterferon LambdaInterferonsInterleukinsMaleMiddle AgedUzbekistanWhite PeopleAntiviral AgentsInterferon-alphaInterferon Lambdainterferon-lambda, humanInterferonsInterleukins

Identifiers

PMID24662995
PMCPMC3963975
OpenAlexW2002867557

What OpenQuestion holds

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LicenceCC BY
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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.