Evidence map›Paper›PMID 17702457›Full record

ArticleFolia microbiologica2007

Importance of biofilm in Candida parapsilosis and evaluation of its susceptibility to antifungal agents by colorimetric method.

F Růzicka, V Holá, M Votava, R Tejkalová

Abstract read
PubMed Publisher
In one paragraph

Article in Folia microbiologica, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
1.9field-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

22 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Indigenous Yeasts for the Biocontrol ofJournal of fungi (Basel, Switzerland) · 2023
    Article
  4. Global Prevalence of Antifungal-ResistantTropical medicine and infectious disease · 2022
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Candida parapsilosis: from Genes to the Bedside.Clinical microbiology reviews · 2019
    Review
  10. MonitoringSensors (Basel, Switzerland) · 2018
    Article
  11. Article
  12. Article
  13. Candida parapsilosis biofilm identification by Raman spectroscopy.International journal of molecular sciences · 2014
    Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  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

4 authors at 1 institution in 1 country.

F RůzickaDepartment of Microbiology, Faculty of Medicine, Masaryk University, 601 77 Brno, Czechia. filip.ruzicka@fnusa.cz
V Holá
M Votava
R Tejkalová
Masaryk University · CZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability of C. parapsilosis (an important cause of nosocomial infections) to produce biofilm was evaluated in 32 bloodstream isolates and 85 strains isolated from skin. The biofilm formation was found in 19 (59%) blood isolates and only in 33 (39%) isolates from skin. The antifungal susceptibility was assessed for amphotericin B, itraconazole and voriconazole in planktonic and biofilm form of the 19 biofilm-positive bloodstream strains by broth microdilution method according to NCCLS standards. The method was modified by the use of resazurin as a colorimetric indicator of the metabolically active cells which makes the determination of the effect of antifungal agents easier. Biofilm forms of all strains were more resistant than their planktonic form.

Indexed as

Antifungal AgentsBiofilmsCandidaColorimetryCross InfectionDrug Resistance, FungalFungemiaHumansMicrobial Sensitivity TestsMicrobiological TechniquesAntifungal Agents

Identifiers

PMID17702457
OpenAlexW2111111052

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.