Evidence map›Paper›PMID 28575064›Full record

ArticlePloS one2017

Antimicrobial resistance of Klebsiella pneumoniae stool isolates circulating in Kenya.

Chris Rowe Taitt, Tomasz A Leski, Daniel P Erwin, Elizabeth A Odundo, Nancy C Kipkemoi, Janet N Ndonye, Ronald K Kirera, Abigael N Ombogo, Judd L Walson, Patricia B Pavlinac and 2 more

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed.

  1. Article
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  10. Antimicrobial Resistance and Virulence Characteristics ofPathogens (Basel, Switzerland) · 2022
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Whole Genome Sequencing of PediatricFrontiers in microbiology · 2021
    Article
  17. Article
  18. Article
  19. Amino AcidBiology · 2020
    Article
  20. 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.

Chris Rowe TaittCenter for Bio/Molecular Science & Engineering, Naval Research Laboratory, Washington, DC United States of America.ORCID http://orcid.org/0000-0002-0125-9239
Tomasz A LeskiCenter for Bio/Molecular Science & Engineering, Naval Research Laboratory, Washington, DC United States of America.
Daniel P ErwinUS Army Medical Research Directorate-Kenya, Walter Reed Army Institute of Research, Kericho, Kenya.
Elizabeth A OdundoKEMRI/US Army Medical Research Directorate-Kenya, Walter Reed Army Institute of Research, Kericho, Kenya.
Nancy C KipkemoiKEMRI/US Army Medical Research Directorate-Kenya, Walter Reed Army Institute of Research, Kericho, Kenya.
Janet N NdonyeKEMRI/US Army Medical Research Directorate-Kenya, Walter Reed Army Institute of Research, Kericho, Kenya.
Ronald K KireraKEMRI/US Army Medical Research Directorate-Kenya, Walter Reed Army Institute of Research, Kericho, Kenya.
Abigael N OmbogoKEMRI/US Army Medical Research Directorate-Kenya, Walter Reed Army Institute of Research, Kericho, Kenya.
Judd L WalsonDepartment of Global Health, University of Washington, Seattle, WA, United States of America.
Patricia B PavlinacDepartment of Global Health, University of Washington, Seattle, WA, United States of America.
Christine HulsebergUS Army Medical Research Directorate-Kenya, Walter Reed Army Institute of Research, Kericho, Kenya.
Gary J VoraCenter for Bio/Molecular Science & Engineering, Naval Research Laboratory, Washington, DC United States of America.

Funding

University of Washington/Fred Hutch Center for AIDS ResearchP30AI027757 · NIAID · UNIVERSITY OF WASHINGTON · PI Kenneth Sherr · 1988 to 2026
$104.9M
VENEREAL DISEASET32AI007140 · NIAID · UNIVERSITY OF WASHINGTON · PI Julia Cook Dombrowski · 1985 to 2026
$19.4M
NIAID NIH HHS P30 AI027757NIAID NIH HHS T32 AI007140
6 · The paper itself

Abstract

We sought to determine the genetic and phenotypic antimicrobial resistance (AMR) profiles of commensal Klebsiella spp. circulating in Kenya by testing human stool isolates of 87 K. pneumoniae and three K. oxytoca collected at eight locations. Over one-third of the isolates were resistant to ≥3 categories of antimicrobials and were considered multidrug-resistant (MDR). We then compared the resistance phenotype to the presence/absence of 238 AMR genes determined by a broad-spectrum microarray and PCR. Forty-six genes/gene families were identified conferring resistance to β-lactams (ampC/blaDHA, blaCMY/LAT, blaLEN-1, blaOKP-A/OKP-B1, blaOXA-1-like family, blaOXY-1, blaSHV, blaTEM, blaCTX-M-1 and blaCTX-M-2 families), aminoglycosides (aac(3)-III, aac(6)-Ib, aad(A1/A2), aad(A4), aph(AI), aph3/str(A), aph6/str(B), and rmtB), macrolides (mac(A), mac(B), mph(A)/mph(K)), tetracyclines (tet(A), tet(B), tet(D), tet(G)), ansamycins (arr), phenicols (catA1/cat4, floR, cmlA, cmr), fluoroquinolones (qnrS), quaternary amines (qacEΔ1), streptothricin (sat2), sulfonamides (sul1, sul2, sul3), and diaminopyrimidines (dfrA1, dfrA5, dfrA7, dfrA8, dfrA12, dfrA13/21/22/23 family, dfrA14, dfrA15, dfrA16, dfrA17). This is the first profile of genes conferring resistance to multiple categories of antimicrobial agents in western and central Kenya. The large number and wide variety of resistance genes detected suggest the presence of significant selective pressure. The presence of five or more resistance determinants in almost two-thirds of the isolates points to the need for more effective, targeted public health policies and infection control/prevention measures.

Indexed as

Drug Resistance, BacterialAdolescentAdultAnti-Bacterial AgentsChildChild, PreschoolFecesFemaleGenes, BacterialHumansInfantKenyaKlebsiella InfectionsKlebsiella pneumoniaeMaleMiddle AgedAnti-Bacterial Agents

Identifiers

PMID28575064
PMCPMC5456380

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.