Evidence map›Paper›PMID 31158289›Full record

ReviewFEMS microbiology reviews2019

Recent trends in molecular diagnostics of yeast infections: from PCR to NGS.

Consortium OPATHY, Toni Gabaldón

Open access · bronzeAbstract readReview
In one paragraph

Review in FEMS microbiology reviews, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 66 papers.

0numbers the graph read from it
0cells of the map it votes in
66citing papers in PubMed
9.7field-weighted citation impact, top 1% 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

66 citing papers in PubMed, 125 citations in OpenAlex.

  1. Containment of a Candidozyma auris Outbreak in an Acute Care Hospital using a Comprehensive Screening and Surveillance Program.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2026
    Article
  2. Article
  3. Review
  4. Review
  5. Review
  6. Urinary tract infection caused by rare yeastFrontiers in immunology · 2026
    Review
  7. Article
  8. Article
  9. An update on clinically relevant, rare, and emergingClinical microbiology reviews · 2025
    Review
  10. Review
  11. Review
  12. Article
  13. Article
  14. The Gut Mycobiome for Precision Medicine.Journal of fungi (Basel, Switzerland) · 2025
    Review
  15. Threats from theMicrobiology and molecular biology reviews : MMBR · 2024
    Review
  16. Article
  17. Review
  18. Article
  19. Review
  20. Assessing Diagnosis ofJournal of fungi (Basel, Switzerland) · 2024
    Article

6 more citing papers are in PubMed but not listed here.

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

2 authors at 14 institutions in 8 countries.

Consortium OPATHY
Toni GabaldónCentre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, Dr Aiguader 88, Barcelona 08003, Spain.
Pompeu Fabra University · ESUniversity of Amsterdam · NLCentre for Genomic Regulation · ESFahrenheit (Germany) · DEGhent University Hospital · BELeibniz-Institut für Naturstoff-Forschung und Infektionsbiologie e. V. - Hans-Knöll-Institut (HKI) · DEParc Científic de la Universitat de València · ESUniversität Innsbruck · ATUniversity College Dublin · IEUniversity of Aberdeen · GBInnsbruck Medical University · ATInstitució Catalana de Recerca i Estudis Avançats · ESQserve Group (Netherlands) · NLWesterdijk Fungal Biodiversity Institute · NL

Funding

Austrian Science Fund FWF W 1253Medical Research Council MR/N006364/1
6 · The paper itself

Abstract

The incidence of opportunistic yeast infections in humans has been increasing over recent years. These infections are difficult to treat and diagnose, in part due to the large number and broad diversity of species that can underlie the infection. In addition, resistance to one or several antifungal drugs in infecting strains is increasingly being reported, severely limiting therapeutic options and showcasing the need for rapid detection of the infecting agent and its drug susceptibility profile. Current methods for species and resistance identification lack satisfactory sensitivity and specificity, and often require prior culturing of the infecting agent, which delays diagnosis. Recently developed high-throughput technologies such as next generation sequencing or proteomics are opening completely new avenues for more sensitive, accurate and fast diagnosis of yeast pathogens. These approaches are the focus of intensive research, but translation into the clinics requires overcoming important challenges. In this review, we provide an overview of existing and recently emerged approaches that can be used in the identification of yeast pathogens and their drug resistance profiles. Throughout the text we highlight the advantages and disadvantages of each methodology and discuss the most promising developments in their path from bench to bedside.

Indexed as

Antifungal AgentsDrug Resistance, Multiple, FungalHigh-Throughput Nucleotide SequencingHumansMycosesPathology, MolecularPoint-of-Care SystemsPolymerase Chain ReactionProteomicsWhole Genome SequencingYeastsAntifungal AgentsCandidacandidemiadiagnosisproteomicssequencingyeast pathogens

Identifiers

PMID31158289
PMCPMC8038933
OpenAlexW2948495375

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.