Evidence map›Paper›PMID 34850837›Full record

ArticleClinical infectious diseases : an official publication of the Infectious Diseases Society of America2021

Clones and Clusters of Antimicrobial-Resistant Klebsiella From Southwestern Nigeria.

Ayorinde O Afolayan, Anderson O Oaikhena, Aaron O Aboderin, Olatunde F Olabisi, Adewale A Amupitan, Oyekola V Abiri, Veronica O Ogunleye, Erkison Ewomazino Odih, Abolaji T Adeyemo, Adeyemi T Adeyemo and 11 more

Open access · hybridAbstract read
In one paragraph

Article in Clinical infectious diseases : an official publication of the Infectious Diseases Society of America, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 4 pooled it
2.5field-weighted citation impact, top 9% 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

33 citing papers in PubMed, 4 syntheses or guidelines pooled it, 47 citations in OpenAlex.

  1. Pooled it
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  10. Antibiotic resistance and novel Sequence Types ofCurrent research in microbial sciences · 2025
    Article
  11. Microbial genomics · 2025
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  12. Antimicrobial resistance and virulence inAntimicrobial stewardship & healthcare epidemiology : ASHE · 2025
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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

21 authors at 6 institutions in 2 countries.

Ayorinde O AfolayanGlobal Health Research  Unit on Genomic Surveillance of Antimicrobial Resistance, Department of Pharmaceutical Microbiology, Faculty of Pharmacy, University of Ibadan, Ibadan, Nigeria.
Anderson O OaikhenaGlobal Health Research  Unit on Genomic Surveillance of Antimicrobial Resistance, Department of Pharmaceutical Microbiology, Faculty of Pharmacy, University of Ibadan, Ibadan, Nigeria.
Aaron O AboderinDepartment of Medical Microbiology and Parasitology, Obafemi Awolowo University Teaching Hospitals Complex, Ile-Ife, Nigeria.
Olatunde F OlabisiDepartment of Medical Microbiology and Parasitology, Obafemi Awolowo University Teaching Hospitals Complex, Ile-Ife, Nigeria.
Adewale A AmupitanDepartment of Medical Microbiology and Parasitology, Obafemi Awolowo University Teaching Hospitals Complex, Ile-Ife, Nigeria.
Oyekola V AbiriDepartment of Medical Microbiology and Parasitology, Obafemi Awolowo University Teaching Hospitals Complex, Ile-Ife, Nigeria.
Veronica O OgunleyeDepartment of Medical Microbiology and Parasitology, University College Hospital, Ibadan, Nigeria.
Erkison Ewomazino OdihGlobal Health Research  Unit on Genomic Surveillance of Antimicrobial Resistance, Department of Pharmaceutical Microbiology, Faculty of Pharmacy, University of Ibadan, Ibadan, Nigeria.
Abolaji T AdeyemoDepartment of Medical Microbiology and Parasitology, Osun State University Teaching Hospital,  Teaching Hospital, Osogbo, Nigeria.
Adeyemi T AdeyemoDepartment of Medical Microbiology and Parasitology, Obafemi Awolowo University Teaching Hospitals Complex, Ile-Ife, Nigeria.
Temitope O ObadareDepartment of Medical Microbiology and Parasitology, Obafemi Awolowo University Teaching Hospitals Complex, Ile-Ife, Nigeria.
Monica AbrudanCentre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford, United Kingdom.
Silvia ArgimónCentre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford, United Kingdom.
Sophia DavidCentre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford, United Kingdom.
Mihir KekreCentre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford, United Kingdom.
Anthony UnderwoodCentre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford, United Kingdom.
Abiodun EgwuenuNigeria Centre for Disease Control, Jabi, Abuja, Nigeria.
Chikwe IhekweazuNigeria Centre for Disease Control, Jabi, Abuja, Nigeria.
David M AanensenCentre for Genomic Pathogen Surveillance, Big Data Institute, University of Oxford, Oxford, United Kingdom.
Iruka N OkekeGlobal Health Research  Unit on Genomic Surveillance of Antimicrobial Resistance, Department of Pharmaceutical Microbiology, Faculty of Pharmacy, University of Ibadan, Ibadan, Nigeria.
NIHR Global Health Research Unit on Genomic Surveillance of Antimicrobial Resistance
University of Oxford · GBObafemi Awolowo University Teaching Hospitals Complex · NGUniversity of Ibadan · NGNigeria Centre for Disease Control · NGOsun State University · NGUniversity College Hospital, Ibadan · NG

Funding

Department for International Development, UK GovernmentMedical Research Council MR/L00464X/1National Institute for Health Research 16/136/111
6 · The paper itself

Abstract

backgroundKlebsiella pneumoniae is a World Health Organization high-priority antibiotic-resistant pathogen. However, little is known about Klebsiella lineages circulating in Nigeria.

methodsWe performed whole-genome sequencing (WGS) of 141 Klebsiella isolated between 2016 and 2018 from clinical specimens at 3 antimicrobial-resistance (AMR) sentinel surveillance tertiary hospitals in southwestern Nigeria. We conducted in silico multilocus sequence typing; AMR gene, virulence gene, plasmid, and K and O loci profiling; as well as phylogenetic analyses, using publicly available tools and Nextflow pipelines.

resultsPhylogenetic analysis revealed that the majority of the 134 K. pneumoniae and 5 K. quasipneumoniae isolates from Nigeria characterized are closely related to globally disseminated multidrug-resistant clones. Of the 39 K. pneumoniae sequence types (STs) identified, the most common were ST307 (15%), ST5241 (12%), ST15 (~9%), and ST25 (~6%). ST5241, 1 of 10 novel STs detected, is a single locus variant of ST636 carrying dfrA14, tetD, qnrS, and oqxAB resistance genes. The extended-spectrum β-lactamase (ESBL) gene blaCTX_M-15 was seen in 72% of K. pneumoniae genomes, while 8% encoded a carbapenemase. No isolate carried a combination of carbapenemase-producing genes. Four likely outbreak clusters from 1 facility, within STs 17, 25, 307, and 5241, were ESBL but not carbapenemase-bearing clones.

conclusionsThis study uncovered known and novel K. pneumoniae lineages circulating in 3 hospitals in Southwest Nigeria that include multidrug-resistant ESBL producers. Carbapenemase-producing isolates remain uncommon. WGS retrospectively identified outbreak clusters, pointing to the value of genomic approaches in AMR surveillance for improving infection prevention and control in Nigerian hospitals.

Indexed as

KlebsiellaKlebsiella InfectionsAnti-Bacterial Agentsbeta-LactamasesClone CellsDrug Resistance, Multiple, BacterialHumansKlebsiella pneumoniaeMicrobial Sensitivity TestsMultilocus Sequence TypingNigeriaPhylogenyRetrospective StudiesAnti-Bacterial Agentsbeta-Lactamasesantimicrobial resistancegenomic surveillanceKlebsiellaNigeria

Identifiers

PMID34850837
PMCPMC8634535
OpenAlexW3215638641

What OpenQuestion holds

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LicenceCC BY
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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.