Evidence map›Paper›PMID 17251397›Full record

ArticleJournal of clinical microbiology2007

Molecular identification of unusual pathogenic yeast isolates by large ribosomal subunit gene sequencing: 2 years of experience at the United kingdom mycology reference laboratory.

Christopher J Linton, Andrew M Borman, Grace Cheung, Ann D Holmes, Adrien Szekely, Michael D Palmer, Paul D Bridge, Colin K Campbell, Elizabeth M Johnson

Abstract read
In one paragraph

Article in Journal of clinical microbiology, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 1 pooled it
–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

44 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  10. An Updated Global Species Diversity and Phylogeny in the GenusJournal of fungi (Basel, Switzerland) · 2021
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  14. Article
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  16. Article
  17. Article
  18. Article
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  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

9 authors.

Christopher J LintonMycology Reference Laboratory, Health Protection Agency South-West Regional Laboratory, Myrtle Road, Bristol BS2 8EL, United Kingdom. Chris.Linton@bris.ac.uk
Andrew M Borman
Grace Cheung
Ann D Holmes
Adrien Szekely
Michael D Palmer
Paul D Bridge
Colin K Campbell
Elizabeth M Johnson

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid identification of yeast isolates from clinical samples is particularly important given their innately variable antifungal susceptibility profiles. We present here an analysis of the utility of PCR amplification and sequence analysis of the hypervariable D1/D2 region of the 26S rRNA gene for the identification of yeast species submitted to the United Kingdom Mycology Reference Laboratory over a 2-year period. A total of 3,033 clinical isolates were received from 2004 to 2006 encompassing 50 different yeast species. While more than 90% of the isolates, corresponding to the most common Candida species, could be identified by using the AUXACOLOR2 yeast identification kit, 153 isolates (5%), comprised of 47 species, could not be identified by using this system and were subjected to molecular identification via 26S rRNA gene sequencing. These isolates included some common species that exhibited atypical biochemical and phenotypic profiles and also many rarer yeast species that are infrequently encountered in the clinical setting. All 47 species requiring molecular identification were unambiguously identified on the basis of D1/D2 sequences, and the molecular identities correlated well with the observed biochemical profiles of the various organisms. Together, our data underscore the utility of molecular techniques as a reference adjunct to conventional methods of yeast identification. Further, we show that PCR amplification and sequencing of the D1/D2 region reliably identifies more than 45 species of clinically significant yeasts and can also potentially identify new pathogenic yeast species.

Indexed as

DNA, FungalDNA, RibosomalGenotypeHumansMycological Typing TechniquesMycosesPhenotypePolymerase Chain ReactionRNA, RibosomalSequence Analysis, DNAUnited KingdomYeastsDNA, FungalDNA, RibosomalRNA, RibosomalRNA, ribosomal, 26S

Identifiers

PMID17251397
PMCPMC1865856

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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.