ReviewBrazilian journal of microbiology : [publication of the Brazilian Society for Microbiology]2020
Factors influencing susceptibility testing of antifungal drugs: a critical review of document M27-A4 from the Clinical and Laboratory Standards Institute (CLSI).
Review in Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology], 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
What it found
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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.
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.
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Who cites it
14 citing papers in PubMed, 28 citations in OpenAlex.
- Article
- A combined approach using environmental yeasts and microbial indicators to assess aquatic pollution.Environmental monitoring and assessment · 2026Article
- Rational Design and Optimization of MCh-AMP1: A Stable α-Helical Antifungal Peptide with Enhanced Activity AgainstDrug design, development and therapy · 2026Article
- Article
- The impact of respiratory tract mimicking media on antifungal susceptibility testing.Antimicrobial agents and chemotherapy · 2025Article
- Enhanced penetration and biofilm eradication by sophorolipid micelles encapsulating Honokiol: a comprehensive solution for biofilm-associated lung infections.Journal of nanobiotechnology · 2025Article
- Impact of Copper(II) and Silver(I) Complexes Containing 1,10-phenanthroline-5,6-dione on Cellular and Virulence Aspects ofCurrent topics in medicinal chemistry · 2025Article
- Antifungal activity of almond (Current medical mycology · 2024Article
- The Influence of Medium Composition on EUCAST and Etest Antifungal Susceptibility Testing.Journal of fungi (Basel, Switzerland) · 2023Article
- Searching for new antifungals for the treatment of cryptococcosis.Revista da Sociedade Brasileira de Medicina Tropical · 2023Review
- Analysis of Characteristics, Pathogens and Drug Resistance of Urinary Tract Infection Associated with Long-Term Indwelling Double-J Stent.Infection and drug resistance · 2023Article
- 2,4-Diacetylphloroglucinol ModulatesJournal of fungi (Basel, Switzerland) · 2022Article
- Antifungal Susceptibility Testing: A Primer for Clinicians.Open forum infectious diseases · 2021Review
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 4 institutions in 2 countries.
Funding
Abstract
Due to the increasing numbers of fungal infections and the emergence of drug-resistant fungi, optimization and standardization of diagnostic methods for the measurement of antifungal susceptibility are ongoing. The M27-A4 document by the US Clinical and Laboratory Standards Institute (CLSI) is presently used for the interpretation of minimum inhibitory concentrations of major opportunistic yeast species as measured by broth microdilution testing in many countries. Although microdilution is considered a benchmark for reproducible and accurate results, increased testing capacity, and limited human bias, the method is often inaccessible to routine clinical laboratories and researchers, especially in low-income countries. Furthermore, several studies suggest that there are still a considerable number of factors that make the estimation of in vitro activity of antifungal agents challenging. This review article summarizes the limitations of the M27-A4 standard which, despite the advances and improvements obtained by the standardization of antimicrobial resistance testing methods by CLSI, still persist.
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Registered trials
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.