Evidence map›Paper›PMID 36937294›Full record

ArticleFrontiers in microbiology2023

Predicting β-lactam susceptibility from the genome of

Helle Brander Eriksen, Kurt Fuursted, Anders Jensen, Christian Salgård Jensen, Xiaohui Nielsen, Jens Jørgen Christensen, Patricia Shewmaker, Ana Rita Rebelo, Frank Møller Aarestrup, Kristian Schønning and 2 more

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In one paragraph

Article in Frontiers in microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

7 citing papers in PubMed, 4 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. A mini review of genome-predicted β-lactam susceptibility inFrontiers in cellular and infection microbiology · 2026
    Review
  5. Article
  6. 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

12 authors at 7 institutions in 2 countries.

Helle Brander EriksenDepartment of Clinical Microbiology, Herlev and Gentofte Hospital, Herlev, Denmark.
Kurt FuurstedDepartment of Bacteria, Parasites, and Fungi, Statens Serum Institut, Copenhagen, Denmark.
Anders JensenDepartment of Clinical Microbiology, Sygehus Lillebælt, Vejle, Denmark.
Christian Salgård JensenDepartment of Clinical Microbiology, Rigshospitalet, Copenhagen, Denmark.
Xiaohui NielsenThe Regional Department of Clinical Microbiology, Slagelse, Denmark.
Jens Jørgen ChristensenThe Regional Department of Clinical Microbiology, Slagelse, Denmark.
Patricia ShewmakerCenters for Disease Control and Prevention, Atlanta, GA, United States.
Ana Rita RebeloResearch Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Kongens Lyngby, Denmark.
Frank Møller AarestrupResearch Group for Genomic Epidemiology, National Food Institute, Technical University of Denmark, Kongens Lyngby, Denmark.
Kristian SchønningDepartment of Clinical Microbiology, Rigshospitalet, Copenhagen, Denmark.
Hans-Christian SlotvedDepartment of Bacteria, Parasites, and Fungi, Statens Serum Institut, Copenhagen, Denmark.
One Day in Denmark (ODiD) Consortium
Rigshospitalet · DKStatens Serum Institut · DKTechnical University of Denmark · DKUniversity of Copenhagen · DKCenters for Disease Control and Prevention · USGentofte Hospital · DKLillebaelt Hospital · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: For Method: Isolates with available WGS and phenotypic susceptibility data were included. For each isolate, the best matching PBP-profile was identified by BLAST analysis. The corresponding MICs for penicillin and ceftriaxone was retrieved. Category agreement (CA), minor-, major-, and very major discrepancy was calculated. Genotypic-phenotypic accuracy was examined with Deming regression. Results: Among 88 Conclusion: Using a simple BLAST analysis, genotypic susceptibility prediction was accurate in Danish

Indexed as

genotypic susceptibilitypenicillinpenicillin-binding proteinspneumococcusStreptococcus

Identifiers

PMID36937294
PMCPMC10018206
OpenAlexW4322772563

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read7
measurements read109
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.