Evidence map›Paper›PMID 35018324›Full record

ArticleAccess microbiology2021

Veterinary clinic surfaces as reservoirs of multi-drug- and biocide-resistant Gram-negative bacteria.

Chinedu A Akwuobu, Emmanuel O Ngbede, Levi M Mamfe, Ekene V Ezenduka, Kennedy F Chah

Abstract read
In one paragraph

Article in Access microbiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Occurrence ofVeterinary world · 2024
    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.

Chinedu A AkwuobuDepartment of Veterinary Microbiology, College of Veterinary Medicine, Federal University of Agriculture, Makurdi, Nigeria.ORCID https://orcid.org/0000-0002-6361-9463
Emmanuel O NgbedeDepartment of Veterinary Microbiology, College of Veterinary Medicine, Federal University of Agriculture, Makurdi, Nigeria.ORCID https://orcid.org/0000-0001-8951-876X
Levi M MamfeDepartment of Veterinary Microbiology, College of Veterinary Medicine, Federal University of Agriculture, Makurdi, Nigeria.ORCID https://orcid.org/0000-0002-8654-1283
Ekene V EzendukaDepartment of Veterinary Public Health and Preventive Medicine, Faculty of Veterinary Medicine, University of Nigeria, Nsukka, Nigeria.
Kennedy F ChahDepartment of Veterinary Pathology and Microbiology, Faculty of Veterinary Medicine, University of Nigeria, Nsukka, Nigeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This cross-sectional study was carried out to determine the common Gram-negative bacteria (GNB) contaminating veterinary clinic environments, and to evaluate the susceptibility of the isolates to commonly used antibiotics and biocides. A total of 62 swab samples were collected from different frequently touched surfaces in the 4 veterinary clinics visited. The samples were processed for isolation and identification of GNB using standard microbiological procedures. The susceptibility of the isolates to disinfectants and antibiotics was determined using agar dilution and disc diffusion techniques, respectively. A total of 114 GNB were isolated from the 4 clinics with isolation rates of 21.9, 22.8, 23.7 and 31.6% in clinics A, B, C and D, respectively. The surfaces of treatment tables were more contaminated (16.7 %) than receptionist/clinician desks (15.8%), weighing balances (10.5 %), door handles (7.9 %), drip stands (7.9 %), handwashing basins (7.0 %) and client chairs (7.0%). The surface-contaminating isolates were distributed into 20 genera, with members of

Indexed as

biocidesGram-negative bacteriainfectionpathogenssurfacesveterinary clinics

Identifiers

PMID35018324
PMCPMC8742594

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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.