Evidence map›Paper›PMID 37624292›Full record

ArticleVeterinary sciences2023

Analysis of Retrospective Laboratory Data on the Burden of Bacterial Pathogens Isolated at the National Veterinary Research Institute Nigeria, 2018-2021.

Dennis Kabantiyok, Moses D Gyang, Godwin O Agada, Alice Ogundeji, Daniel Nyam, Uchechi G Uhiara, Elmina Abiayi, Yakubu Dashe, Sati Ngulukun, Maryam Muhammad and 2 more

Open access · goldAbstract read
In one paragraph

Article in Veterinary sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Prevalence of multidrug-resistantFrontiers in microbiology · 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

12 authors at 3 institutions in 2 countries.

Dennis KabantiyokDiagnostic Laboratory Services Division, National Veterinary Research Institute NVRI, PMB 01, Vom 930010, Nigeria.ORCID 0000-0002-7975-7713
Moses D GyangDiagnostic Laboratory Services Division, National Veterinary Research Institute NVRI, PMB 01, Vom 930010, Nigeria.
Godwin O AgadaDiagnostic Laboratory Services Division, National Veterinary Research Institute NVRI, PMB 01, Vom 930010, Nigeria.
Alice OgundejiDiagnostic Laboratory Services Division, National Veterinary Research Institute NVRI, PMB 01, Vom 930010, Nigeria.
Daniel NyamDiagnostic Laboratory Services Division, National Veterinary Research Institute NVRI, PMB 01, Vom 930010, Nigeria.
Uchechi G UhiaraDiagnostic Laboratory Services Division, National Veterinary Research Institute NVRI, PMB 01, Vom 930010, Nigeria.
Elmina AbiayiDiagnostic Laboratory Services Division, National Veterinary Research Institute NVRI, PMB 01, Vom 930010, Nigeria.
Yakubu DasheDiagnostic Laboratory Services Division, National Veterinary Research Institute NVRI, PMB 01, Vom 930010, Nigeria.
Sati NgulukunDiagnostic Laboratory Services Division, National Veterinary Research Institute NVRI, PMB 01, Vom 930010, Nigeria.
Maryam MuhammadDiagnostic Laboratory Services Division, National Veterinary Research Institute NVRI, PMB 01, Vom 930010, Nigeria.
Oyelola A AdegboyeMenzies School of Public Health, Charles Darwin University, Casuarina, NT 0811, Australia.ORCID 0000-0002-9793-8024
Theophilus I EmetoPublic Health & Tropical Medicine, College of Public Health, Medical and Veterinary Sciences, James Cook University, Townsville, QLD 4811, Australia.ORCID 0000-0002-3282-1861
National Veterinary Research Institute · NGAustralian Institute of Tropical Health and Medicine · AUCharles Darwin University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Farm animals harbour bacterial pathogens, which are often viewed as important indicators of animal health and determinants of food safety. To better understand the prevalence and inform treatment, we audited laboratory data at the Bacteriology Laboratory of the NVRI from 2018-2021. Antibiotics were classified into seven basic classes: quinolones, tetracyclines, beta-lactams, aminoglycosides, macrolides, nitrofuran, and cephalosporins. Trends were analysed using a generalised linear model with a log link function for the Poisson distribution, comparing proportions between years with an offset to account for the variability in the total number of organisms per year. Avian (73.18%) samples were higher than any other sample. The major isolates identified were

Indexed as

antimicrobial resistancefarm animalsNigeriapathogensretrospective

Identifiers

PMID37624292
PMCPMC10459836
OpenAlexW4385603244

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.