Evidence map›Paper›PMID 22923919›Full record

ArticleJournal of laboratory physicians2012

Rapid identification of yeast isolates from clinical specimens in critically ill trauma ICU patients.

Neetu Jain, Purva Mathur, Mahesh Chandra Misra, Bijayini Behera, Immaculata Xess, Satya Priya Sharma

Abstract read
In one paragraph

Article in Journal of laboratory physicians, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Mycoses in northeastern Brazil: epidemiology and prevalence of fungal species in 8 years of retrospective analysis in Alagoas.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2019
    Article
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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.

Neetu JainDepartment of Microbiology (Laboratory Medicine), Jai Prakash Narayan Apex Trauma Centre, New Delhi, India.
Purva Mathur
Mahesh Chandra Misra
Bijayini Behera
Immaculata Xess
Satya Priya Sharma

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe purpose was to evaluate the performance of a commercially available chromogenic Candida speciation media and the Vitek 2 ID system for the identification of medically important yeasts and yeast-like organisms in a routine clinical microbiology laboratory. MATERIALS AND

methodsA total of 429 non duplicate, consecutive yeast strains were included during the 3.5-year study period. The performance of the Vitek 2 ID system and a chromogenic agar medium was evaluated against the gold standard conventional phenotypic and biochemical identification method for speciation of yeast isolates from trauma patients.

resultsCandida tropicalis (64%) was the most common Candida species, followed by Candida albicans (14%), Candida rugosa (7%), and Candida parapsilosis (6.5%). Of the 429 isolates, 183 could be identified to species level by all the three methods. Agreement between the chromogenic agar method and conventional methods was 80% for Candida tropicalis, 100% for Candida rugosa, 89% for Candida albicans, and 77% for Candida parapsilosis. Vitek 2 had lower sensitivity, with agreement of 49% for Candida tropicalis, 100% for Candida rugosa, 39% for Candida albicans, and 31% for Candida parapsilosis.

conclusionThus, in long-term ICU patients, an increasing trend of isolating nonalbicans Candida spp. continues. The chromogenic agar medium is a convenient and economic method to identify commonly isolated species in busy clinical microbiology laboratories.

Indexed as

Candidachromogenic agar mediumidentificationtraumavitek

Identifiers

PMID22923919
PMCPMC3425261

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