Evidence map›Paper›PMID 29951378›Full record

ArticleGerms2018

Phenotypic typing and epidemiological survey of antifungal resistance of

Margherita Scapaticci, Andrea Bartolini, Federica Del Chierico, Cristel Accardi, Francesco Di Girolamo, Andrea Masotti, Maurizio Muraca, Lorenza Putignani

Abstract read
In one paragraph

Article in Germs, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Journal of fungi (Basel, Switzerland) · 2023
    Article
  3. Meyerozyma guilliermondii species complex: review of current epidemiology, antifungal resistance, and mechanisms.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2022
    Review
  4. Overview on the Infections Related to RarePathogens (Basel, Switzerland) · 2022
    Review
  5. Catheter-Related Sepsis byCase reports in infectious diseases · 2021
    Article
  6. Article
  7. The Effects of Mentha × piperita Essential Oil onAntibiotics (Basel, Switzerland) · 2019
    Article
  8. 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

8 authors.

Margherita ScapaticciPhD, Laboratory Medicine Department, San Camillo Hospital, Viale Vittorio Veneto 18, 31100, Treviso, Italy.
Andrea BartoliniMD, Laboratory Medicine Department, San Camillo Hospital, Viale Vittorio Veneto 18, 31100, Treviso, Italy.
Federica Del ChiericoPhD, Unit of Human Microbiome, Children's Hospital and Research Institute Bambino Gesú, Piazza Sant'Onofrio 4, Rome, 00165, Italy.
Cristel AccardiUnit of Human Microbiome, Children's Hospital and Research Institute Bambino Gesú, Piazza Sant'Onofrio 4, Rome, 00165, Italy.
Francesco Di GirolamoUnit of Human Microbiome, Children's Hospital and Research Institute Bambino Gesú, Piazza Sant'Onofrio 4, Rome, 00165, Italy.
Andrea MasottiPhD, Gene Expression-Microarrays Laboratory, Bambino Gesú Children's Hospital, IRCCS, Piazza Sant'Onofrio 4 Rome 00165, Italy.
Maurizio MuracaMD, Department of Women's and Children's Health University of Padova, Via Giustiniani 3, Padova, Italy.
Lorenza PutignaniPhD, Unit of Parasitology, Children's Hospital and Research Institute Bambino Gesú, Piazza Sant'Onofrio 4, Rome, 00165, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionYeast pathogens are emerging agents of nosocomial as well as community-acquired infections and their rapid and accurate identification is crucial for a better management of high-risk patients and for an adequate treatment.

methodsWe performed a retrospective review of 156 yeast isolates collected during a 17 months' period of regular clinical practice at the Microbiology Department of San Camillo Hospital in Treviso, Italy and analyzed by the traditional culture-based method combined with matrix-assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS).

resultsOut of all the samples collected MALDI-TOF MS was able to characterize with a MT score ≥1.7 (accurate result at species level) 12 different yeast and yeast-like species from 140 samples:

conclusionAccurate identification of microorganisms and the study of their antifungal susceptibility allow to understand the epidemiology of a particular area, permitting the choice of the most appropriate early antifungal treatment.

Indexed as

antifungal resistanceMALDI-TOF MSYeast infection

Identifiers

PMID29951378
PMCPMC6019954

What OpenQuestion holds

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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.