Evidence map›Paper›PMID 21419803›Full record

ArticleJournal of virological methods2011

Evaluation of two molecular methods for the detection of Yellow fever virus genome.

Marcio R T Nunes, Gustavo Palacios, Keley N B Nunes, Samir M M Casseb, Lívia C Martins, Juarez A S Quaresma, Nazir Savji, W Ian Lipkin, Pedro F C Vasconcelos

Abstract readValidation Study
In one paragraph

Article in Journal of virological methods, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. The Importance of Coordinated Actions in Preventing the Spread of Yellow Fever to Human Populations: The Experience from the 2016-2017 Yellow Fever Outbreak in the Northeastern Region of São Paulo State.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2019
    Article
  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. 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.

Marcio R T NunesDepartment of Arbovirology and Hemorrhagic Fevers, Instituto Evandro Chagas, Ministry of Health, Ananindeua, Brazil. marcionunes@iec.pa.gov.br
Gustavo Palacios
Keley N B Nunes
Samir M M Casseb
Lívia C Martins
Juarez A S Quaresma
Nazir Savji
W Ian Lipkin
Pedro F C Vasconcelos

Funding

Viral Pathogenesis and TherapeuticsU54AI057158 · NIAID · WADSWORTH CENTER · PI LIPKIN, W. IAN · 2003 to 2014
$100.8M
NIAID NIH HHS U54 AI057158
6 · The paper itself

Abstract

Yellow fever virus (YFV), a member of the family Flaviviridae, genus Flavivirus is endemic to tropical areas of Africa and South America and is among the arboviruses that pose a threat to public health. Recent outbreaks in Brazil, Bolivia, and Paraguay and the observation that vectors capable of transmitting YFV are presenting in urban areas underscore the urgency of improving surveillance and diagnostic methods. Two novel methods (RT-hemi-nested-PCR and SYBR(®) Green qRT-PCR) for efficient detection of YFV strains circulating in South America have been developed. The methods were validated using samples obtained from golden hamsters infected experimentally with wild-type YFV strains as well as human serum and tissue samples with acute disease.

Indexed as

AnimalsCricetinaeHumansMesocricetusMolecular Diagnostic TechniquesReverse Transcriptase Polymerase Chain ReactionSerumSouth AmericaVirologyYellow FeverYellow fever virus

Identifiers

PMID21419803
PMCPMC4109279

What OpenQuestion holds

Textmetadata
LicenceTDM
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.