Evidence map›Paper›PMID 25644891›Full record

ArticleVirology journal2015

Detection of hepatitis C virus in patients with terminal renal disease undergoing dialysis in southern Brazil: prevalence, risk factors, genotypes, and viral load dynamics in hemodialysis patients.

Beatris Maria Vidales-Braz, Naylê Maria Oliveira da Silva, Rubens Lobato, Fabiana Nunes Germano, Luiza Dias da Mota, Elvino J G Barros, Ana Maria Barral de Martinez

Open access · goldAbstract read
In one paragraph

Article in Virology journal, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 4 pooled it
1.8field-weighted citation impact, top 15% 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

12 citing papers in PubMed, 4 syntheses or guidelines pooled it, 26 citations in OpenAlex.

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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

7 authors at 3 institutions in 1 country.

Beatris Maria Vidales-BrazFederal University of Rio Grande (FURG), Rio Grande, Brazil. bea-dy@hotmail.com.
Naylê Maria Oliveira da SilvaFederal University of Rio Grande (FURG), Rio Grande, Brazil. nayleoliveira@gmail.com.
Rubens LobatoFederal University of Rio Grande (FURG), Rio Grande, Brazil. rubenslobatobio@gmail.com.
Fabiana Nunes GermanoFluminense Federal University (UFF), Rio de Janeiro, Brazil. bio.fngermano@gmail.com.
Luiza Dias da MotaFederal University of Rio Grande (FURG), Rio Grande, Brazil. Luisadias_sixcp@hotmail.com.
Elvino J G BarrosFederal University of Rio Grande do Sul (UFRGS), Porto alegre, Brazil. elvino.barros@gmail.com.
Ana Maria Barral de MartinezFederal University of Rio Grande (FURG), Rio Grande, Brazil. nani60@gmail.com.
Universidade Federal do Rio Grande · BRUniversidade Federal do Rio Grande do Sul · BRUniversidade Federal Fluminense · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

unlabelledHepatitis C (HCV) is a serious public health issue, and it is estimated that 3% of the world's population is infected. Patients in hemodialysis units have an increased risk for contracting HCV, and high prevalence rates have been found in hemodialysis units around the world. This study is aimed at determining the prevalence of HCV in patients with terminal chronic renal disease (tCRD) who have been submitted to hemodialysis and peritoneal dialysis in southern Brazil to characterize the most prevalent genotypes, the viral load, and possible risk factors and to assess the validity between the ELISA and RT-PCR detection methods. Of 320 patients from three dialysis units, 318 participated in this study. According to the medical records, 55 patients were reactive to HCV, as determined via ELISA. All 318 samples were submitted to RT-PCR and genotyped using an Abbott Realtime m2000 system. Data obtained through a questionnaire and chemical variables were associated with the HCV.

resultsThe prevalence of HCV was 18.24% (58), and the concordance between the HCV serology and the RT-PCR was 94%. Three patients were diagnosed to be negative for HCV using the ELISA assay but positive when using RT-PCR. Genotype 1 was the most prevalent (46.7%) genotype, within which subtype 1a was the most frequent (74.1%). One of the risk factors associated with HCV infection was the length of time that the patient had been undergoing hemodialysis treatments (p < 0.001). Additionally, the viral load was found to vary when tested before and after hemodialysis (p < 0.001).

conclusionThe prevalence of HCV in dialysis units continues to remain high, indicating nosocomial contamination. RT-PCR detected the presence of the hepatitis C virus in patients with a non-reactive serology, which highlights the importance of performing molecular tests on dialysis patients. The variation in the viral load in patients submitted to hemodialysis indicates a possible destruction or gripping of viral particles to the dialyzer membrane.

Indexed as

Viral LoadAdultAgedAged, 80 and overBrazilCross InfectionEnzyme-Linked Immunosorbent AssayFemaleGenotypeHepacivirusHepatitis CHepatitis C AntibodiesHumansKidney Failure, ChronicMaleMiddle AgedHepatitis C AntibodiesRNA, Viral

Identifiers

PMID25644891
PMCPMC4329191
OpenAlexW2159654621

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.