Evidence map›Paper›PMID 24982915›Full record

ArticleBioMed research international2014

Identification, typing, antifungal resistance profile, and biofilm formation of Candida albicans isolates from Lebanese hospital patients.

Ibrahim Bitar, Roy A Khalaf, Houda Harastani, Sima Tokajian

Abstract read
In one paragraph

Article in BioMed research international, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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

  1. Pooled it
  2. Article
  3. Characterization and susceptibility of non-albicansFrontiers in public health · 2023
    Observational
  4. Prevalence and Antifungal Susceptibility of Clinically RelevantTropical medicine and infectious disease · 2022
    Article
  5. Repurposing pantoprazole and haloperidol as efflux pump inhibitors in azole resistant clinicalSaudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2022
    Article
  6. Article
  7. Whole genome sequencing of a clinical drug resistantJournal of medical microbiology · 2021
    Article
  8. Article
  9. Article
  10. Article
  11. Microevolution of the pathogenic yeastsMicrobial cell (Graz, Austria) · 2019
    Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. Comparison of various methods used to detect biofilm production of Candida species.Journal of clinical and diagnostic research : JCDR · 2014
    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.

Ibrahim BitarDepartment of Natural Sciences, School of Arts and Sciences, Lebanese American University, P.O. Box 36, Byblos, Lebanon.
Roy A KhalafDepartment of Natural Sciences, School of Arts and Sciences, Lebanese American University, P.O. Box 36, Byblos, Lebanon.
Houda HarastaniDepartment of Natural Sciences, School of Arts and Sciences, Lebanese American University, P.O. Box 36, Byblos, Lebanon.
Sima TokajianDepartment of Natural Sciences, School of Arts and Sciences, Lebanese American University, P.O. Box 36, Byblos, Lebanon.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As leading opportunistic fungal pathogens identification and subtyping of Candida species are crucial in recognizing outbreaks of infection, recognizing particularly virulent strains, and detecting the emergence of drug resistant strains. In this study our objective was to compare identification of Candida albicans by the hospitals through the use of conventional versus identification based on the ITS (Internal Transcribed Spacer) and to assess biofilm forming capabilities, drug resistance patterns and correlate these with MLST typing. ITS typing revealed a 21.2% hospital misidentification rate. Multidrug resistance to three drugs out of four tested was detected within 25% of the isolates raising concerns about the followed treatment regimens. Drug resistant strains as well as biofilm formers were phylogenetically related, with some isolates with significant biofilm forming capabilities being correlated to those that were multidrug resistant. Such isolates were grouped closely together in a neighbor-joining tree generated by MLST typing indicating phylogenetic relatedness, microevolution, or recurrent infection. In conclusion, this pilot study gives much needed insight concerning C. albicans isolates circulating in Lebanese hospitals and is the first study of its kind correlating biofilm formation, antifungal resistance, and evolutionary relatedness.

Indexed as

HospitalsMultilocus Sequence TypingAdolescentAdultAgedAged, 80 and overAntifungal AgentsBiofilmsCandida albicansChildChild, PreschoolDNA, Ribosomal SpacerDrug Resistance, FungalFemaleHumansLebanonAntifungal AgentsDNA, Ribosomal Spacer

Identifiers

PMID24982915
PMCPMC4058652

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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.