Evidence map›Paper›PMID 34361868›Full record

ArticleMicroorganisms2021

Phylogenetic and Phylodynamic Analyses of HCV Strains Circulating among Patients Using Injectable Drugs in Central Italy.

Claudia Minosse, Leonidas Salichos, Chiara Taibi, Ilaria Luzzitelli, Daniela Nardozi, Maria Rosaria Capobianchi, Gianpiero D'Offizi, Fiona McPhee, Anna Rosa Garbuglia

Abstract read
In one paragraph

Article in Microorganisms, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

9 authors.

Claudia MinosseLaboratory of Virology, "Lazzaro Spallanzani" National Institute for Infectious Diseases, IRCCS, 00149 Rome, Italy.ORCID 0000-0001-7833-9539
Leonidas SalichosProgram in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA.ORCID 0000-0003-0228-6885
Chiara TaibiHepatology and Infectious Diseases Unit, "Lazzaro Spallanzani" National Institute for Infectious Diseases, IRCCS, 00149 Rome, Italy.ORCID 0000-0003-2556-1560
Ilaria LuzzitelliHepatology and Infectious Diseases Unit, "Lazzaro Spallanzani" National Institute for Infectious Diseases, IRCCS, 00149 Rome, Italy.
Daniela NardoziLaboratory of Virology, "Lazzaro Spallanzani" National Institute for Infectious Diseases, IRCCS, 00149 Rome, Italy.ORCID 0000-0001-9660-7509
Maria Rosaria CapobianchiLaboratory of Virology, "Lazzaro Spallanzani" National Institute for Infectious Diseases, IRCCS, 00149 Rome, Italy.
Gianpiero D'OffiziHepatology and Infectious Diseases Unit, "Lazzaro Spallanzani" National Institute for Infectious Diseases, IRCCS, 00149 Rome, Italy.
Fiona McPheeBristol-Myers Squibb Research and Development, Cambridge, MA 02142, USA.
Anna Rosa GarbugliaLaboratory of Virology, "Lazzaro Spallanzani" National Institute for Infectious Diseases, IRCCS, 00149 Rome, Italy.ORCID 0000-0002-2687-8642

Funding

Ministero della Salute Ricerca Corrente
6 · The paper itself

Abstract

Approximately 71 million people worldwide are infected with the hepatitis C virus (HCV). Injectable drug use represents the most common route of transmission in Europe and other developed countries. We studied the molecular characteristics of the HCV infection among mono-infected people who used drugs (PWUD) in Italy. Among 208 PWUD with anti-HCV antibodies, 101 (48.6%) were HCV RNA-positive, the majority (47%) were infected with the HCV genotype (Gt)1a, followed by Gt3a (34.9%), Gt4 (9.1%), Gt1b (4.5%), and Gt2 (4.5%). Bayesian phylogenetic analyses of clustered HCV NS5B sequences from 66 HCV-positive PWUDs with available plasma samples indicated age and neighborhood proximity as the most common characteristics between closely related HCV strains. Population dynamics, as measured by a coalescent Bayesian skyline analysis, revealed an increase in HCV Gt1a infections from the mid-1980s to mid-1990s. While HCV Gt3a infections were first detected in the 1980s, patient numbers with this genotype subtype remained relatively constant. For both Gt1a and Gt3a, Birth-Death Bayesian Skyline analyses produced higher reproduction numbers post 2014. For earlier time intervals, slow growths were observed for both Gt1a and Gt3a with reproduction numbers (Re) of approximately 1. The evolutionary rates for Gt1a and Gt3a were estimated as 2.23 × 10

Indexed as

HCV genotypeshepatitis C virus (HCV)molecular epidemiologypeople who use drugs (PWUD)phylogenyviral evolution

Identifiers

PMID34361868
PMCPMC8304011

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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.