Evidence map›Paper›PMID 12682114›Full record

ArticleJournal of clinical microbiology2003

Use of amplified fragment length polymorphism analysis to identify medically important Candida spp., including C. dubliniensis.

A Borst, B Theelen, E Reinders, T Boekhout, A C Fluit, P H M Savelkoul

Abstract readEvaluation Study
In one paragraph

Article in Journal of clinical microbiology, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

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  10. Molecular epidemiology of Fonsecaea species.Emerging infectious diseases · 2011
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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

6 authors.

A BorstEijkman-Winkler Center for Microbiology, Infectious Diseases and Inflammation, University Medical Center, Utrecht, The Netherlands. aoz0@cdc.gov
B Theelen
E Reinders
T Boekhout
A C Fluit
P H M Savelkoul

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Non-Candida albicans Candida species are increasingly being isolated. These species show differences in levels of resistance to antimycotic agents and mortality. Therefore, it is important to be able to correctly identify the causative organism to the species level. Identification of C. dubliniensis in particular remains problematic due to the high degree of phenotypic similarity between this species and C. albicans. The use of amplified fragment length polymorphism (AFLP) analysis as an identification method for medically important Candida species was investigated. Our results show very clear differences among medically important Candida species. Furthermore, when screening a large collection of clinical isolates previously identified on CHROMagar as C. albicans, we found a misidentification rate of 6%. AFLP analysis is universally applicable, and the patterns can easily be stored in a general, accessible database. Therefore, AFLP might prove to be a reliable method for the identification of medically important Candida species.

Indexed as

Polymorphism, Restriction Fragment LengthCandidaCandidiasisDNA, FungalHumansMycological Typing TechniquesSpecies SpecificityDNA, Fungal

Identifiers

PMID12682114
PMCPMC153876

What OpenQuestion holds

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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.