Evidence map›Paper›PMID 10405380›Full record

ArticleJournal of clinical microbiology1999

Specific detection of fusarium species in blood and tissues by a PCR technique.

F X Hue, M Huerre, M A Rouffault, C de Bievre

Open access · bronzeAbstract read
In one paragraph

Article in Journal of clinical microbiology, 1999. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

19 citing papers in PubMed, 105 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Detection ofJournal of fungi (Basel, Switzerland) · 2019
    Article
  6. Article
  7. Molecular Diagnosis of Pathogenic Sporothrix Species.PLoS neglected tropical diseases · 2015
    Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Fusarium infections in immunocompromised patients.Clinical microbiology reviews · 2007
    Review
  16. Article
  17. Article
  18. Article
  19. 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

4 authors at 1 institution in 1 country.

F X HueLaboratoire de Mycologie Médicale, Institut Pasteur, 75724 Paris cedex 15, France. cneyret@ipagua.gp
M Huerre
M A Rouffault
C de Bievre
Institut Pasteur · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fusarium species are opportunistic nosocomial pathogens that often cause fatal invasive mycoses. We designed a primer pair that amplifies by PCR a fragment of a gene coding for the rRNA of Fusarium species. The DNAs of the main Fusarium species and Neocosmospora vasinfecta but not the DNAs from 11 medically important fungi were amplified by these primers. The lower limit of detection of the PCR system was 10 fg of Fusarium solani DNA by ethidium bromide staining. To test the ability of this PCR system to detect Fusarium DNA in tissues, we developed a mouse model of disseminated fusariosis. Using the PCR, we detected Fusarium DNA in mouse tissues and in spiked human blood. Furthermore, F. solani, Fusarium moniliforme, and Fusarium oxysporum were testing by random amplified polymorphic DNA (RAPD) analysis. The bands produced by RAPD analysis were purified, cloned, and sequenced. The information was used to design primer pairs that selectively amplified one or several Fusarium species. The method developed may be useful for the rapid detection and identification of Fusarium species both from culture and from clinical samples.

Indexed as

AnimalsDNA, FungalFusariumHumansMiceMycosesOligonucleotide ProbesPolymerase Chain ReactionDNA, FungalOligonucleotide Probes

Identifiers

PMID10405380
PMCPMC85247
OpenAlexW2142258960

What OpenQuestion holds

Textmetadata
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.