Evidence map›Paper›PMID 39766586›Full record

ArticleAntibiotics (Basel, Switzerland)2024

Phenotypic Differentiation Within the

Michel Plattner, Maurizio Catelani, Sarah-Lisa Gmür, Maximilian Hartmann, Fatmanur Kiliç, Klara Haldimann, David Crich, Sven N Hobbie

Abstract read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. 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.

Michel PlattnerInstitute of Medical Microbiology, University of Zurich, 8006 Zurich, Switzerland.ORCID 0000-0001-5839-2404
Maurizio CatelaniInstitute of Medical Microbiology, University of Zurich, 8006 Zurich, Switzerland.
Sarah-Lisa GmürInstitute of Medical Microbiology, University of Zurich, 8006 Zurich, Switzerland.
Maximilian HartmannInstitute of Medical Microbiology, University of Zurich, 8006 Zurich, Switzerland.ORCID 0009-0008-9675-1840
Fatmanur KiliçInstitute of Medical Microbiology, University of Zurich, 8006 Zurich, Switzerland.ORCID 0009-0000-6931-5498
Klara HaldimannInstitute of Medical Microbiology, University of Zurich, 8006 Zurich, Switzerland.
David CrichDepartment of Pharmaceutical and Biomedical Sciences, University of Georgia, Athens, GA 30602, USA.ORCID 0000-0003-2400-0083
Sven N HobbieInstitute of Medical Microbiology, University of Zurich, 8006 Zurich, Switzerland.ORCID 0000-0002-9205-0384

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWhole genome sequencing of clinical bacterial isolates holds promise in predicting their susceptibility to antibiotic therapy, based on a detailed understanding of the phenotypic manifestation of genotypic variation. The

methodsWe analyzed the resistance gene annotations of 657,603 clinical bacterial isolates to assess the prevalence and diversity of

resultsAn

conclusionsOur study provides the most comprehensive analysis of clinically relevant

Indexed as

acetyltransferasesaminoglycoside antibioticsin silico antimicrobial susceptibility testingphenotype predictionresistance gene annotationsurveillancewhole genome sequencing

Identifiers

PMID39766586
PMCPMC11672645

What OpenQuestion holds

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Registered trials

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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.