Evidence map›Paper›PMID 38482364›Full record

ArticleAccess microbiology2024

Genotypic characterization of bacterial isolates causing urinary tract infections among adults at Kiambu Level 5 Hospital, Kenya: selected extended-spectrum β-lactamase genes and biofilm formation.

Fredrick K Wanja, Eric O Omwenga, Caroline W Ngugi, John N Maina, John N Kiiru

Open access · goldAbstract 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 99% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

5 authors at 3 institutions in 1 country.

Fredrick K WanjaDepartment of Medical Microbiology, Jomo Kenyatta University of Agriculture and Technology, PO Box 62000-00200 Nairobi, Kenya.ORCID https://orcid.org/0000-0003-3437-0387
Eric O OmwengaDepartment of Medical Microbiology & Parasitology, SHS, Kisii University, PO Box 408-40202, Kisii, Kenya.
Caroline W NgugiDepartment of Medical Microbiology, Jomo Kenyatta University of Agriculture and Technology, PO Box 62000-00200 Nairobi, Kenya.
John N MainaCentre of Microbiology Research, Kenya Medical Research Institute, PO Box 43640-00100 Nairobi, Kenya.
John N KiiruCentre of Microbiology Research, Kenya Medical Research Institute, PO Box 43640-00100 Nairobi, Kenya.
Jomo Kenyatta University of Agriculture and Technology · KEKenya Medical Research Institute · KEKisii University · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The menace of antimicrobial resistance affecting public health is rising globally. Many pathogenic bacteria use mechanisms such as mutations and biofilm formation, significantly reducing the efficacy of antimicrobial agents. In this cross-sectional study, we aimed to determine the prevalence of selected extended-spectrum β-lactamase (ESβL) genes and analyse the biofilm formation abilities of the isolated bacteria causing urinary tract infection among adult patients seeking Medicare at Kiambu Level 5 Hospital, Kenya. The double-disc synergy test was used for phenotypic identification of ESβL-producing isolates, while microtitre plate assays with some modifications were used for the biofilm formation test. Ten isolates were bioassayed for ESβL genes out of 57 bacterial isolates obtained from urine samples. This study found the

Indexed as

antibiofilm inhibitory effectsantimicrobial resistance (AMR)biofilm formationextended-spectrum β-lactamase (ESβL)resistance genes

Identifiers

PMID38482364
PMCPMC10928394
OpenAlexW4391670769

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.