Evidence map›Paper›PMID 31487830›Full record

ArticleJournal of fungi (Basel, Switzerland)2019

Minimal Inhibitory Concentration (MIC)-Phenomena in

Ulrike Binder, Maria Aigner, Brigitte Risslegger, Caroline Hörtnagl, Cornelia Lass-Flörl, Michaela Lackner

Abstract read
In one paragraph

Article in Journal of fungi (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Understanding multi-azole resistance inFrontiers in fungal biology · 2026
    Article
  3. Evaluation of the antagonistic effect ofIranian journal of microbiology · 2025
    Article
  4. Review
  5. Review
  6. Frontiers in fungal biology · 2022
    Review
  7. Mechanisms of Azole Resistance and Trailing inJournal of fungi (Basel, Switzerland) · 2021
    Article
  8. Article
  9. Article
  10. Efficacy of LAMB against Emerging Azole- and Multidrug-ResistantJournal of fungi (Basel, Switzerland) · 2020
    Article
  11. Microorganisms · 2020
    Review
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

6 authors.

Ulrike BinderInstitute of Hygiene and Medical Microbiology, Medical University Innsbruck, 6020 Innsbruck, Austria.ORCID 0000-0002-2160-2903
Maria AignerInstitute of Hygiene and Medical Microbiology, Medical University Innsbruck, 6020 Innsbruck, Austria.
Brigitte RissleggerInstitute of Hygiene and Medical Microbiology, Medical University Innsbruck, 6020 Innsbruck, Austria.
Caroline HörtnaglInstitute of Hygiene and Medical Microbiology, Medical University Innsbruck, 6020 Innsbruck, Austria.
Cornelia Lass-FlörlInstitute of Hygiene and Medical Microbiology, Medical University Innsbruck, 6020 Innsbruck, Austria.ORCID 0000-0002-2946-7785
Michaela LacknerInstitute of Hygiene and Medical Microbiology, Medical University Innsbruck, 6020 Innsbruck, Austria. michaela.lackner@i-med.ac.at.ORCID 0000-0001-9073-2886

Funding

Austrian Science Fund I656-B09Austrian Science Fund I661-B09
6 · The paper itself

Abstract

Antifungal susceptibility testing (AFST) of clinical isolates is a tool in routine diagnostics to facilitate decision making on optimal antifungal therapy. The minimal inhibitory concentration (MIC)-phenomena (trailing and paradoxical effects (PXE)) observed in AFST complicate the unambiguous and reproducible determination of MICs and the impact of these phenomena on in vivo outcome are not fully understood. We aimed to link the MIC-phenomena with in vivo treatment response using the alternative infection model

Indexed as

in vitro susceptibility testingminimal inhibitory concentrationparadoxical effectstrailingyeasts

Identifiers

PMID31487830
PMCPMC6787722

What OpenQuestion holds

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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.