Evidence map›Paper›PMID 39816654›Full record

ArticleFrontiers in antibiotics2023

Antimicrobial susceptibility testing and tentative epidemiological cut-off values for

Katrine Nøhr-Meldgaard, Carsten Struve, Hanne Ingmer, Anna Koza, Kosai Al-Nakeeb, Yvonne Agersø

Abstract read
In one paragraph

Article in Frontiers in antibiotics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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

  1. Leuconostoc as an emerging pathogen in humans: an updated systematic review.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025
    Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Susceptibility ofLife (Basel, Switzerland) · 2025
    Article
  7. 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

6 authors.

Katrine Nøhr-MeldgaardResearch & Development, Chr. Hansen A/S, Hørsholm, Denmark.
Carsten StruveResearch & Development, Chr. Hansen A/S, Hørsholm, Denmark.
Hanne IngmerDepartment of Veterinary and Animal Sciences, University of Copenhagen, Frederiksberg, Denmark.
Anna KozaResearch & Development, Chr. Hansen A/S, Hørsholm, Denmark.
Kosai Al-NakeebResearch & Development, Chr. Hansen A/S, Hørsholm, Denmark.
Yvonne AgersøResearch & Development, Chr. Hansen A/S, Hørsholm, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: In this work, 170 strains covering 13 species from the Methods: The 170 strains originated from different sources, geographical areas, and time periods. MICs for nine antibiotics were determined according to the ISO 10932 standard for lactobacillia and by a modified CLSI-method for Results and discussion: The data provide evidence that antimicrobial susceptibility follows phylogeny instead of fermentation pattern and accordingly, tentative ECOFFs were defined. For some species the tentative ECOFFs for specific antibiotics are above the cut-off values set by the European Food Safety Authority (EFSA) which are primarily defined according to fermentation pattern or at genus level. The increased tolerance for specific antibiotics observed for some species was evaluated to be innate, as only for one strain phenotypic resistance was found to be related to an acquired resistance gene. In general, more data are needed to define ECOFFs and since the number of isolates available for industrial relevant bacterial species are often limited compared to clinically relevant species, it is important; 1) that strains are unambiguously defined at species level and subtyped through core genome analysis, 2) MIC determination are performed by use of a standardized method to define species-specific MIC distributions and 3) that known antimicrobial resistance genes are determined in whole genome sequences to support the MIC determinations.

Indexed as

antibioticantibiotic resistanceepidemiological cut-offsintrinsic resistancelactic acid bacteriatentative ECOFFs

Identifiers

PMID39816654
PMCPMC11732008

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.