Evidence map›Paper›PMID 38361654›Full record

ArticleAccess microbiology2024

Whole genome sequencing and genotyping

Victor Dinda, Andrew Nyerere Kimang'a, Daniel Kariuki, Anthony Wawire Sifuna, Thomas James O'Brien, Martin Welch, Oleg N Reva

Abstract read
In one paragraph

Article in Access microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

7 authors.

Victor DindaDepartment of Medical Laboratory Science, Masinde Muliro University of Science and Technology, Kakamega, Kenya.
Andrew Nyerere Kimang'aDepartment of Medical Microbiology, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya.
Daniel KariukiDepartment of Biochemistry, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya.
Anthony Wawire SifunaDepartment of Medical Biochemistry, Masinde Muliro University of Science and Technology, Kakamega, Kenya.
Thomas James O'BrienDepartment of Biochemistry, University of Cambridge, Hopkins Building, Cambridge, UK.
Martin WelchDepartment of Biochemistry, University of Cambridge, Hopkins Building, Cambridge, UK.ORCID https://orcid.org/0000-0003-3646-1733
Oleg N RevaCentre for Bioinformatics and Computational Biology, Department of Biochemistry, Genetics and Microbiology, University of Pretoria, Pretoria, South Africa.ORCID https://orcid.org/0000-0002-5459-2772

Funding

National Centre for the Replacement, Refinement and Reduction of Animals in Research NC/P001564/1
6 · The paper itself

Abstract

Objectives: Methods: In total, 15 Results: ST147 was the dominant lineage among the highly-resistant Conclusions: Our data suggest that the evolutionary success of ST147 may be linked with the acquisition of broad host-range plasmids, and their propensity to accrue AMR and virulence determinants. Although ST147 is a dominant lineage in many countries worldwide, it has not been previously reported as prevalent in Africa. Our data suggest an influx of new nosocomial pathogens with new virulence genes into African hospitals from other continents.

Indexed as

antibiotic resistanceenvironmental isolateKlebsiella pneumoniaeMLSTwhole genome sequence

Identifiers

PMID38361654
PMCPMC10866029

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.