Evidence map›Paper›PMID 35603101›Full record

ArticleMicrobiology insights2022

Molecular Characterization of ESBLs and QnrS Producers From Selected

James G Ndukui, Joseph K Gikunju, Gabriel O Aboge, John K Mwaniki, John N Maina, James M Mbaria

Open access · goldAbstract read
In one paragraph

Article in Microbiology insights, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 49% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Intestinal and Extraintestinal Pathotypes ofAntibiotics (Basel, Switzerland) · 2025
    Article
  3. Article
  4. Review
  5. Phenotypic and genotypic antimicrobial resistance inFrontiers in veterinary science · 2023
    Article
  6. 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

6 authors at 3 institutions in 1 country.

James G NdukuiDepartment of Public Health, Pharmacology, and Toxicology, College of Agriculture and Veterinary Sciences, University of Nairobi, Kabete, Nairobi, Kenya.ORCID https://orcid.org/0000-0002-9311-0051
Joseph K GikunjuDepartment of Medical Laboratory Sciences, College of Health Science, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya.
Gabriel O AbogeDepartment of Public Health, Pharmacology, and Toxicology, College of Agriculture and Veterinary Sciences, University of Nairobi, Kabete, Nairobi, Kenya.
John K MwanikiCentre for Microbiology Research, Kenya Medical Research Institute, Nairobi, Kenya.
John N MainaCentre for Microbiology Research, Kenya Medical Research Institute, Nairobi, Kenya.
James M MbariaDepartment of Public Health, Pharmacology, and Toxicology, College of Agriculture and Veterinary Sciences, University of Nairobi, Kabete, Nairobi, Kenya.
University of Nairobi · KEKenya Medical Research Institute · KEJomo Kenyatta University of Agriculture and Technology · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The emergence and spread of Extended-spectrum β-lactamases (ESBLs) in Materials and methods: Out of 591 isolates identified as Results: The most detected ESBL gene from the isolates was Conclusion: Our findings highlight the significance of commercial poultry production in disseminating transferable antibiotic resistance genes that act as potential sources of extensive drug resistance in livestock, humans, and the environment, leaving limited therapeutic options in infection management.

Indexed as

Bla CTX-M, Bla SHVBla OXABla TEMEnterobacteriaceaeESBLsQnrS

Identifiers

PMID35603101
PMCPMC9118458
OpenAlexW4285122552

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.