Evidence map›Paper›PMID 38005925›Full record

ArticleViruses2023

Evolutionary Insight into the Association between New Jersey Polyomavirus and Humans.

Aref-Abdolllah Aghebatrafat, Chris Lauber, Kevin Merkel, Barbara Fruth, Kevin Langergraber, Martha M Robbins, Roman M Wittig, Fabian H Leendertz, Sébastien Calvignac-Spencer

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Viruses, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Aref-Abdolllah AghebatrafatEpidemiology of Highly Pathogenic Microorganisms, Robert Koch Institute, 13353 Berlin, Germany.
Chris LauberInstitute for Experimental Virology, TWINCORE Centre for Experimental and Clinical Infection Research, a Joint Venture between Medical School Hannover (MHH) and Helmholtz Centre for Infection Research (HZI), 30625 Hannover, Germany.
Kevin MerkelEpidemiology of Highly Pathogenic Microorganisms, Robert Koch Institute, 13353 Berlin, Germany.
Barbara FruthMax-Planck-Institute of Animal Behavior, 78467 Konstanz, Germany.
Kevin LangergraberSchool of Human Evolution and Social Change and Institute of Human Origins, Arizona State University, Tempe, AZ 85281, USA.
Martha M RobbinsDepartement of Primate Behavior and Evolution, Max Planck Institute for Evolutionary Anthropology, 04103 Leipzig, Germany.
Roman M WittigTaï Chimpanzee Project, Centre Suisse de Recherches Scientifiques, Abidjan 1303, Côte d'Ivoire.
Fabian H LeendertzEpidemiology of Highly Pathogenic Microorganisms, Robert Koch Institute, 13353 Berlin, Germany.
Sébastien Calvignac-SpencerEpidemiology of Highly Pathogenic Microorganisms, Robert Koch Institute, 13353 Berlin, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in viral discovery techniques have led to the identification of numerous novel viruses in human samples. However, the low prevalence of certain viruses in humans raises doubts about their association with our species. To ascertain the authenticity of a virus as a genuine human-infecting agent, it can be useful to investigate the diversification of its lineage within hominines, the group encompassing humans and African great apes. Building upon this rationale, we examined the case of the New Jersey polyomavirus (NJPyV;

Indexed as

HominidaePolyomavirusPolyomavirus InfectionsAnimalsBiological EvolutionHumansNew JerseyPhylogenyAfrican great apescodivergencehominineNew Jersey polyomavirusvirus evolution

Identifiers

PMID38005925
PMCPMC10675294

What OpenQuestion holds

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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.