Evidence map›Paper›PMID 33416461›Full record

ArticleMicrobial genomics2021

Identifying novel β-lactamase substrate activity through

Kara K Tsang, Finlay Maguire, Haley L Zubyk, Sommer Chou, Arman Edalatmand, Gerard D Wright, Robert G Beiko, Andrew G McArthur

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Microbial genomics, 2021. 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
–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. Article
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  6. Review
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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.

Kara K TsangDavid Braley Centre for Antibiotic Discovery, McMaster University, Hamilton, Ontario, Canada.
Finlay MaguireFaculty of Computer Science, Dalhousie University, Halifax, Nova Scotia, Canada.
Haley L ZubykDavid Braley Centre for Antibiotic Discovery, McMaster University, Hamilton, Ontario, Canada.
Sommer ChouDavid Braley Centre for Antibiotic Discovery, McMaster University, Hamilton, Ontario, Canada.
Arman EdalatmandDavid Braley Centre for Antibiotic Discovery, McMaster University, Hamilton, Ontario, Canada.
Gerard D WrightDavid Braley Centre for Antibiotic Discovery, McMaster University, Hamilton, Ontario, Canada.
Robert G BeikoFaculty of Computer Science, Dalhousie University, Halifax, Nova Scotia, Canada.
Andrew G McArthurDavid Braley Centre for Antibiotic Discovery, McMaster University, Hamilton, Ontario, Canada.

Funding

CIHR PJT-156214
6 · The paper itself

Abstract

Diagnosing antimicrobial resistance (AMR) in the clinic is based on empirical evidence and current gold standard laboratory phenotypic methods. Genotypic methods have the potential advantages of being faster and cheaper, and having improved mechanistic resolution over phenotypic methods. We generated and applied rule-based and logistic regression models to predict the AMR phenotype from

Indexed as

Drug Resistance, BacterialAlgorithmsAnti-Bacterial Agentsbeta-LactamasesComputational BiologyComputer SimulationData CurationEscherichia coliGene Expression ProfilingGene Expression Regulation, BacterialHigh-Throughput Nucleotide SequencingLogistic ModelsPseudomonas aeruginosaWhole Genome SequencingAnti-Bacterial Agentsbeta-Lactamasesantimicrobial resistancebioinformaticsgenotype–phenotypeprediction

Identifiers

PMID33416461
PMCPMC8115898

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.