Evidence map›Paper›PMID 21801611›Full record

ArticleEmerging infectious diseases2011

Human polyomavirus related to African green monkey lymphotropic polyomavirus.

Virginie Sauvage, Vincent Foulongne, Justine Cheval, Meriadeg Ar Gouilh, Kevin Pariente, Olivier Dereure, Jean Claude Manuguerra, Jennifer Richardson, Marc Lecuit, Ana Burguière and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Emerging infectious diseases, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
7.9field-weighted citation impact, top 2% 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

44 citing papers in PubMed, 101 citations in OpenAlex.

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  15. Viral metagenomics and blood safety.Transfusion clinique et biologique : journal de la Societe francaise de transfusion sanguine · 2016
    Review
  16. Review
  17. Review
  18. [The human virome].Revue francophone des laboratoires : RFL · 2015
    Article
  19. Viral diversity in swine intestinal mucus used for the manufacture of heparin as analyzed by high-throughput sequencing.Biologicals : journal of the International Association of Biological Standardization · 2015
    Article
  20. 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

12 authors at 1 institution in 1 country.

Virginie SauvageInstitut Pasteur, Paris, France.
Vincent Foulongne
Justine Cheval
Meriadeg Ar Gouilh
Kevin Pariente
Olivier Dereure
Jean Claude Manuguerra
Jennifer Richardson
Marc Lecuit
Ana Burguière
Valérie Caro
Marc Eloit
Institut Pasteur · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While studying the virome of the skin surface of a patient with a Merkel cell carcinoma (MCC) by using unbiased, high-throughput sequencing, we identified a human polyomavirus nearly identical to human polyomavirus 9, a virus recently reported in blood and urine of renal transplantion patients and closely related to the African green monkey lymphotropic polyomavirus. Specific PCR analysis further identified this virus in 2/8 patients with MCC but in only 1/111 controls without MCC. This virus was shed for ≥20 months by the MCC index patient and was on the skin of the spouse of the index patient. These results provide information on the viral ecology of human skin and raise new questions regarding the pathology of virus-associated skin disorders.

Indexed as

AdultAgedAged, 80 and overAnimalsCarcinoma, Merkel CellChlorocebus aethiopsDNA, ViralFemaleHigh-Throughput Nucleotide SequencingHumansMaleMerkel CellsMiddle AgedMolecular Sequence DataPhylogenyPolymerase Chain ReactionDNA, Viral

Identifiers

PMID21801611
PMCPMC3381546
OpenAlexW2102675222

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.