Evidence map›Paper›PMID 25689781›Full record

ArticlePloS one2015

Rapid identification of medically important Candida isolates using high resolution melting analysis.

Eva Nemcova, Michaela Cernochova, Filip Ruzicka, Barbora Malisova, Tomas Freiberger, Petr Nemec

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

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

  1. Nucleic Acid Amplification Tests forPathogens (Basel, Switzerland) · 2026
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Molecular Diagnosis of Yeast Infections.Current fungal infection reports · 2021
    Review
  6. Article
  7. Article
  8. Article
  9. Evaluation of a Novel Mitochondrial Pan-Journal of fungi (Basel, Switzerland) · 2019
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review
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.

Eva NemcovaCentre for Cardiovascular Surgery and Transplantation Brno, Brno, Czech Republic; International Clinical Research Centre, St. Anne's University Hospital Brno, Brno, Czech Republic.
Michaela CernochovaCentre for Cardiovascular Surgery and Transplantation Brno, Brno, Czech Republic; Molecular Immunology and Microbiology, Central European Institute of Technology, Masaryk University, Brno, Czech Republic.
Filip RuzickaDepartment of Microbiology, Faculty of Medicine, Masaryk University and St. Anne's University Hospital Brno, Brno, Czech Republic.
Barbora MalisovaCentre for Cardiovascular Surgery and Transplantation Brno, Brno, Czech Republic; Molecular Immunology and Microbiology, Central European Institute of Technology, Masaryk University, Brno, Czech Republic.
Tomas FreibergerMolecular Immunology and Microbiology, Central European Institute of Technology, Masaryk University, Brno, Czech Republic.
Petr NemecCentre for Cardiovascular Surgery and Transplantation Brno, Brno, Czech Republic; International Clinical Research Centre, St. Anne's University Hospital Brno, Brno, Czech Republic.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An increasing trend in non albicans infections and various susceptibility patterns to antifungal agents implies a requirement for the quick and reliable identification of a number of medically important Candida species. Real-time PCR followed by high resolution melting analysis (HRMA) was developed, tested on 25 reference Candida collection strains and validated on an additional 143 clinical isolates in this study. All reference strains and clinical isolates inconclusive when using phenotypic methods and/or HRMA were analysed using ITS2 sequencing. Considering reference and clinical strains together, 23 out of 27 Candida species could be clearly distinguished by HRMA, while the remaining 4 species were grouped in 2 pairs, when applying the mean Tm ± 3 SD values, the shape of the derivative melting curve (dMelt curve) and, in some cases, the normalized and temperature-shifted difference plot against C. krusei. HRMA as a simple, rapid and inexpensive tool was shown to be useful in identifying a wide spectrum of clinically important Candida species. It may complement the current clinical diagnostic approach based on commercially available biochemical kits.

Indexed as

Real-Time Polymerase Chain ReactionCandidaCandidiasisDNA, FungalHumansPhenotypeTransition TemperatureDNA, Fungal

Identifiers

PMID25689781
PMCPMC4331273

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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.