Evidence map›Paper›PMID 30430838›Full record

ArticleAIDS research and human retroviruses2019

The Changing Epidemiological Profile of HIV-1 Subtype B Epidemic in Ukraine.

Tetyana I Vasylyeva, Mariia Liulchuk, Louis du Plessis, Esther Fearnhill, Victoriia Zadorozhna, Nataliia Babii, Alla Scherbinska, Vladimir Novitsky, Oliver G Pybus, Nuno R Faria

Open access · hybridAbstract read
In one paragraph

Article in AIDS research and human retroviruses, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 36% 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

4 citing papers in PubMed, 11 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 4 institutions in 3 countries.

Tetyana I Vasylyeva1 Department of Zoology, University of Oxford, Oxford, United Kingdom.
Mariia Liulchuk2 L.V. Gromashevskij Institute of Epidemiology and Infectious Diseases of National Academy of Sciences of Ukraine, Kyiv, Ukraine.
Louis du Plessis1 Department of Zoology, University of Oxford, Oxford, United Kingdom.
Esther Fearnhill3 Institute for Global Health, University College London, United Kingdom.
Victoriia Zadorozhna2 L.V. Gromashevskij Institute of Epidemiology and Infectious Diseases of National Academy of Sciences of Ukraine, Kyiv, Ukraine.
Nataliia Babii2 L.V. Gromashevskij Institute of Epidemiology and Infectious Diseases of National Academy of Sciences of Ukraine, Kyiv, Ukraine.
Alla Scherbinska2 L.V. Gromashevskij Institute of Epidemiology and Infectious Diseases of National Academy of Sciences of Ukraine, Kyiv, Ukraine.
Vladimir Novitsky4 Department of Immunology and Infectious diseases, Harvard TH Chan School of Public Health, Boston, Massachusetts.
Oliver G Pybus1 Department of Zoology, University of Oxford, Oxford, United Kingdom.
Nuno R Faria1 Department of Zoology, University of Oxford, Oxford, United Kingdom.
L.V. Gromashevsky Institute of Epidemiology and Infectious Diseases of the National Academy of Medical Sciences of Ukraine · UAUniversity of Oxford · GBMassachusetts Department of Public Health · USUniversity College London · GB

Funding

Wellcome TrustWellcome Trust 204311/Z/16/Z
6 · The paper itself

Abstract

While HIV-1 subtype B has caused a large epidemic in the Western world, its transmission in Ukraine remains poorly understood. We assessed the genetic diversity of HIV-1 subtype B viruses circulating in Ukraine, characterized the transmission group structure, and estimated key evolutionary and epidemiological parameters. We analyzed 120 HIV-1 subtype B pol sequences (including 46 newly generated) sampled from patients residing in 11 regions of Ukraine between 2002 and 2017. Phylogenies were estimated using maximum likelihood and Bayesian phylogenetic methods. A Bayesian molecular clock coalescent analysis was used to estimate effective population size dynamics and date the most recent common ancestors of identified clades. A phylodynamic birth-death model was used to estimate the effective reproductive number (R

Indexed as

Bayes TheoremEpidemicsFemaleGenetic VariationGeographyHIV-1HIV InfectionsHumansMalePhylogenyRNA, ViralUkraineRNA, ViralBHIV-1molecular epidemiologypeople who inject drugsUkraine

Identifiers

PMID30430838
PMCPMC6360399
OpenAlexW2901924444

What OpenQuestion holds

Textmetadata
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.