Evidence map›Paper›PMID 24465895›Full record

ArticlePloS one2014

A novel method to identify routes of hepatitis C virus transmission.

Cyrille Féray, Julie Bouscaillou, Bruno Falissard, Mostafa K Mohamed, Naglaa Arafa, Iman Bakr, Mostafa El-Hoseiny, Mai El Daly, Sherif El-Kafrawy, Sabine Plancoulaine and 3 more

Abstract read
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In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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.

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

7 citing papers in PubMed.

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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

13 authors.

Cyrille FérayInserm 955, Hopital Henri Mondor, Créteil, France.
Julie BouscaillouInstitut Pasteur, Unité d'Epidémiologie des Maladies Emergentes, Paris, France.
Bruno FalissardUnité INSERM 669, La maison de Solenn, Paris, France.
Mostafa K MohamedDepartment of Community, Environmental and Occupational Medicine, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
Naglaa ArafaDepartment of Community, Environmental and Occupational Medicine, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
Iman BakrDepartment of Community, Environmental and Occupational Medicine, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
Mostafa El-HoseinyDepartment of Community, Environmental and Occupational Medicine, Faculty of Medicine, Ain Shams University, Cairo, Egypt.
Mai El DalyNational Liver Institute, Menoufia University, Shebeen El-Kom, Menufia, Egypt ; Viral Hepatitis Research Laboratory, National Hepatology and Tropical Medicine Research Institute, Cairo, Egypt.
Sherif El-KafrawyNational Liver Institute, Menoufia University, Shebeen El-Kom, Menufia, Egypt ; Viral Hepatitis Research Laboratory, National Hepatology and Tropical Medicine Research Institute, Cairo, Egypt.
Sabine PlancoulaineUnité INSERM 550, Paris, France.
Mohamed Abdel-HamidViral Hepatitis Research Laboratory, National Hepatology and Tropical Medicine Research Institute, Cairo, Egypt ; Department of Microbiology, Faculty of Medicine, Minia University, Minya, Egypt.
Valérie ThiersUnité INSERM 785, Centre Hépato-Biliaire, Villejuif, France.
Arnaud FontanetInstitut Pasteur, Unité d'Epidémiologie des Maladies Emergentes, Paris, France ; Conservatoire National des Arts et Métiers, Chaire Santé et Développement, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWe propose a new approach based on genetic distances among viral strains to infer about risk exposures and location of transmission at population level.

methodsWe re-analysed 133 viral sequences obtained during a cross-sectional survey of 4020 subjects living in a hepatitis C virus (HCV) endemic area in 2002. A permutation test was used to analyze the correlation between matrices of genetic distances in the NS5b region of all pairwise combinations of the 133 viral strains and exposure status (jointly exposed or not) to several potential HCV risk factors.

resultsCompared to subjects who did not share the same characteristics or iatrogenic exposures, the median Kimura genetic distances of viral strains were significantly smaller between brothers and sisters (0.031 versus 0.102, P<0.001), mother and child (0.044 versus 0.102, P<0.001), father and child (0.045 versus 0.102, P<0.001), or subjects exposed to periodontal treatment (0.084 versus 0.102, P = 0.02). Conversely, viral strains were more divergent between subjects exposed to blood transfusions (0.216 versus 0.102, P = 0.04) or tooth filling or extraction (0.108, versus 0.097, P = 0.05), suggesting acquisition of the virus outside of the village.

conclusionThis method provided insights on where infection took place (household, village) for several socio-demographic characteristics or iatrogenic procedures, information of great relevance for targeting prevention interventions. This method may have interesting applications for virologists and epidemiologists studying transmission networks in health-care facilities or among intravenous drug users.

Indexed as

AdolescentAdultAgedChildCohort StudiesDNA, ViralEgyptEpidemiologic MethodsFemaleHepacivirusHepatitis CHumansMaleMiddle AgedPhylogenyRisk FactorsDNA, ViralNS-5 protein, hepatitis C virusRNA-Dependent RNA PolymeraseViral Nonstructural Proteins

Identifiers

PMID24465895
PMCPMC3900465

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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.