Evidence map›Paper›PMID 36376846›Full record

ArticleBMC infectious diseases2022

Molecular characterization and genotyping of hepatitis C virus from Sudanese end-stage renal disease patients on haemodialysis.

Trodia Zitha, Chien-Yu Chen, Hatim Mudawi, Waleed Hussein, Maowia Mukhtar, Mazin Shigidi, Mohamed Elamin Awad Yousif, Mohammed Ahmed Ali, Dieter Glebe, Anna Kramvis

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2022. 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
0.8field-weighted citation impact, top 28% 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, 6 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

10 authors at 6 institutions in 3 countries.

Trodia ZithaHepatitis Virus Diversity Research Unit, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, 7 York Road, Parktown, 2193, Johannesburg, South Africa.
Chien-Yu ChenHepatitis Virus Diversity Research Unit, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, 7 York Road, Parktown, 2193, Johannesburg, South Africa.
Hatim MudawiDepartment of Medicine, Faculty of Medicine, University of Khartoum, Khartoum, Sudan.
Waleed HusseinDepartment of Immunology, Faculty of Medical Laboratory Sciences, Al-Neelain University, Khartoum, Sudan.
Maowia MukhtarDepartment of Molecular Biology, Institute of Endemic Diseases, University of Khartoum, Khartoum, Sudan.
Mazin ShigidiDr. Salma Centre for Dialysis and Kidney Diseases and Transplantation, Khartoum, Sudan.
Mohamed Elamin Awad YousifDepartment of Nephrology, Ibn Sina Specialized Hospital, Khartoum, Sudan.
Mohammed Ahmed AliAlnaw Teaching Hospital, Khartoum, Sudan.
Dieter GlebeInstitute of Medical Virology, National Reference Centre of Hepatitis B viruses and Hepatitis D viruses, Justus Liebig University of Giessen, Giessen, Germany.
Anna KramvisHepatitis Virus Diversity Research Unit, Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, 7 York Road, Parktown, 2193, Johannesburg, South Africa. Anna.Kramvis@wits.ac.za.ORCID http://orcid.org/0000-0001-6006-3765
University of the Witwatersrand · ZAUniversity of Khartoum · SDAlMughtaribeen University · SDAl-Neelain University · SDJustus-Liebig-Universität Gießen · DENational Centre for Research · SD

Funding

Deutsche Forschungsgemeinschaft (DFG; German Research Foundation) of the special African-German collaborative programme, "Africa Initiative" GL595/3-1
6 · The paper itself

Abstract

backgroundHepatitis C virus (HCV) is a global public health problem, with ~ 11 million people in Africa infected. There is incomplete information on HCV in Sudan, particularly in haemodialysis patients, who have a higher prevalence compared to the general population. Thus, our objectives were to genotype and molecularly characterize HCV isolated from end-stage renal disease haemodialysis patients.

methodsA total of 541 patients were recruited from eight haemodialysis centres in Khartoum and screened for anti-HCV. Viral loads were determined using in-house real-time PCR in seropositive patients. HCV was genotyped and subtyped using sequencing of amplicons of 5' untranslated (UTR) and non-structural protein 5B (NS5B) regions, followed by phylogenetic analysis of corresponding sequences.

resultsThe HCV seroprevalence in the study was 17% (93/541), with HCV RNA-positive viremic rate of 7% (40/541). A low HCV load, with a mean of 2.85 × 10

conclusionHCV infection is highly prevalent in haemodialysis patients from Sudan, with phylogenetic analysis intimating nosocomial infection. HCV genotyping is useful to locate potential transmission chains and to enable individualized treatment using highly effective direct-acting antivirals (DAAs).

Indexed as

Cross InfectionHepatitis CHepatitis C, ChronicKidney Failure, ChronicAntiviral AgentsGenotypeHepacivirusHumansPhylogenyRenal DialysisSeroepidemiologic StudiesSudanAntiviral AgentsEnd-stage renal diseaseGenotype/subgenotypeHaemodialysisHepatitis C virusNosocomial infection

Identifiers

PMID36376846
PMCPMC9661773
OpenAlexW4309012906

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.