Evidence map›Paper›PMID 30785909›Full record

ArticlePloS one2019

Nine-year distribution pattern of hepatitis C virus (HCV) genotypes in Southern Italy.

Arnolfo Petruzziello, Rocco Sabatino, Giovanna Loquercio, Annunziata Guzzo, Lucia Di Capua, Francesco Labonia, Anna Cozzolino, Rosa Azzaro, Gerardo Botti

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
2.2field-weighted citation impact, top 12% 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

13 citing papers in PubMed, 26 citations in OpenAlex.

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  6. HCV reflex testing: A single-sample, low-contamination method that improves the diagnostic efficiency of HCV testing among patients in Alberta, Canada.Journal of the Association of Medical Microbiology and Infectious Disease Canada = Journal officiel de l'Association pour la microbiologie medicale et l'infectiologie Canada · 2022
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  9. Platelet to lymphocyte ratio as a predictive biomarker of liver fibrosis (on elastography) in patients with hepatitis C virus (HCV)-related liver disease.Indian journal of gastroenterology : official journal of the Indian Society of Gastroenterology · 2020
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Arnolfo PetruzzielloSSD Virology and Molecular Biology, Department of Diagnostic Area, Istituto Nazionale Tumori, Fondazione "G. Pascale", IRCCS Italia, Naples, Italy.ORCID 0000-0003-0353-9151
Rocco SabatinoSSD Virology and Molecular Biology, Department of Diagnostic Area, Istituto Nazionale Tumori, Fondazione "G. Pascale", IRCCS Italia, Naples, Italy.
Giovanna LoquercioSSD Virology and Molecular Biology, Department of Diagnostic Area, Istituto Nazionale Tumori, Fondazione "G. Pascale", IRCCS Italia, Naples, Italy.
Annunziata GuzzoSSD Virology and Molecular Biology, Department of Diagnostic Area, Istituto Nazionale Tumori, Fondazione "G. Pascale", IRCCS Italia, Naples, Italy.
Lucia Di CapuaSSD Virology and Molecular Biology, Department of Diagnostic Area, Istituto Nazionale Tumori, Fondazione "G. Pascale", IRCCS Italia, Naples, Italy.
Francesco LaboniaSSD Virology and Molecular Biology, Department of Diagnostic Area, Istituto Nazionale Tumori, Fondazione "G. Pascale", IRCCS Italia, Naples, Italy.
Anna CozzolinoSSD Virology and Molecular Biology, Department of Diagnostic Area, Istituto Nazionale Tumori, Fondazione "G. Pascale", IRCCS Italia, Naples, Italy.
Rosa AzzaroTransfusion Service, Department of Hemathology, Istituto Nazionale Tumori-Fondazione "G. Pascale", IRCCS Italia, Naples, Italy.
Gerardo BottiSSD Virology and Molecular Biology, Department of Diagnostic Area, Istituto Nazionale Tumori, Fondazione "G. Pascale", IRCCS Italia, Naples, Italy.
Istituto Nazionale Tumori IRCCS "Fondazione G. Pascale" · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionIt has been greatly described that different hepatitis C virus (HCV) genotypes are strictly correlated to various evolution, prognosis and response to therapy during the chronic liver disease. Aim of this study was to outline the changes in the epidemiology of Hepatitis C genotypes in Southern Italy regions from 2006 to 2014. MATERIAL/

methodsPrevalence of HCV genotypes was analyzed in 535 HCV-RNA positive patients with chronic Hepatitis C infection, selected during the period 2012-2014, and compared with our previous data, referred to periods 2006-2008 and 2009-2011.

resultsIn all the three periods analyzed, genotype 1b is predominant (51.8% in 2006-08, 48.3% in 2009-11 and 54.4% in 2012-14) while genotype 2 showed an increase in prevalence (27.9% in 2006-08, 31.7% in 2009-11 and 35.2% in 2012-14) and genotypes 3a and 1a a decrease during the same period (6.8% in 2006-08, 4.7% in 2009-11 and 3.2% in 2012-14 and 7.9% in 2006-08, 4.7% in 2009-11 and 2.6% in 2012-14, respectively). Subtype 1b seems to be equally distributed between males and females (52.7% vs 56.6%) and the prevalence in the age range 31-40 years is significantly higher in the 2012-14 period than in both previous periods (53.8% vs. 16.6% in 2009-11, p< 0.001 and 13.4% in 2006-08, p < 0.001).

conclusionsGenotype 1b is still the most prevalent, even if shows a significantly increase in the under 40 years old population. Instead, genotype 3a seems to have a moderate increase among young people. Overall, the alarming finding is the "returning" role of the iatrogenic transmission as risk factor for the diffusion of Hepatitis C infection.

Indexed as

AdultAgedAged, 80 and overFemaleGenotypeHepacivirusHepatitis C, ChronicHumansItalyLongitudinal StudiesMaleMiddle AgedPrevalenceRNA, ViralRNA, Viral

Identifiers

PMID30785909
PMCPMC6382136
OpenAlexW2762162002

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.