Evidence map›Paper›PMID 40619397›Full record

SynthesisBMC medical genomics2025

Antibiotic resistance genes circulating in Nigeria: a systematic review and meta-analysis from the One Health perspective.

Emmanuel N Ugbo, Fleischer C N Kotey, Eric S Donkor

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMC medical genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
–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

4 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Review
  4. 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

3 authors.

Emmanuel N UgboDepartment of Applied Microbiology, Faculty of Science, Ebonyi State University, P.M.B. 053, Abakaliki, Ebonyi State, Nigeria.ORCID http://orcid.org/0000-0002-0200-481X
Fleischer C N KoteyDepartment of Medical Microbiology, University of Ghana Medical School, Korle Bu, P. O. Box KB 4236, Accra, Ghana.ORCID http://orcid.org/0000-0003-0286-3638
Eric S DonkorDepartment of Medical Microbiology, University of Ghana Medical School, Korle Bu, P. O. Box KB 4236, Accra, Ghana. esampane-donkor@ug.edu.gh.ORCID http://orcid.org/0000-0002-9368-0636

Funding

Application of Data Science to Build Research Capacity in Zoonoses and Food-Borne Infections in West AfricaUE5TW012566 · FIC · COLLEGE OF HEALTH SCIENCES, UNIVERSITY OF GHANA · PI SAMPANE-DONKOR, ERIC · 2023 to 2025
$593k
FIC NIH HHS UE5 TW012566This research was funded by National Institutes of Health, USA, through the "Application of Data Science to Build Research Capacity in Zoonoses and Foodborne Infections in West Africa (DS-ZOOFOOD) Training Programme" hosted at the Department of Medical Microbiology, University of Ghana Medical School UE5TW012566-01
6 · The paper itself

Abstract

backgroundThe misuse of antibiotics in developing countries has created serious threats to public healthcare systems and reduced treatment options. Multidrug-resistant bacteria harbour antibiotic resistance genes that help them subdue the effectiveness of several available antibiotics. This review aimed to assess antimicrobial resistance genes circulating in Nigeria via a systematic review and meta-analysis.

methodsA comprehensive literature search was performed using five electronic databases: PubMed, Web of Science, Scopus, Google Search, and African Journals Online (AJOL). Articles related to antibiotic resistance genes in Nigeria, published between January 1, 2015 and October 31, 2024, were included. The Newcastle-Ottawa scale (NOS) was used to assess the risk of bias. The meta-analysis for random effects was performed to determine the proportions and pooled prevalence of the resistance genes from the various One Health domains, as well as heterogeneity in the data, using R software (Version 4.3.3) and the metaprop package.

resultsOf the 762 articles retrieved, 56 (humans [n = 33], animals [n = 8], environment [n = 12], human/animal [n = 1], and human/animal/environment [n = 2]) from the six geopolitical zones in Nigeria met the inclusion criteria. The extended-spectrum beta-lactamase (ESBL) gene with the highest pooled prevalence was blaSHV (24.0% [95% CI: 12.0–44.0]), followed by blaCTX-M (23.0% [95% CI: 14.0–37.0]), and the least was blaTEM (18.0% [95% CI: 8.0–37.0]). Among the carbapenemase genes, blaKPC (33.0% [95% CI: 7.0–76.0]) was the most prevalent, followed by blaNDM (21.0% [95% CI: 9.0–41.0]), blaOXA (11.0% [95% CI: 2.0–46.0]) and the least was blaVIM (9.0% [95% CI: 3.0–26.0]). The mecA gene also had a high pooled prevalence (51.0% [95% CI: 14.0–86.0]). The pooled prevalence of the erm, sul, tet, and qnr genes ranged from 19.0% (95% CI: 8.0–38.0) to 27.0% (95% CI: 13.0–47.0). Some antibiotic resistance genes were shared among the three domains.

conclusionThis systematic review and meta-analysis has demonstrated the co-existence of antibiotic resistance genes among bacteria causing infection in Nigeria, via the One Health approach. There is a need for future research on the circulation of antibiotic resistance genes in developing countries using internationally approved approaches to track down this menace.

Indexed as

Drug Resistance, BacterialDrug Resistance, MicrobialGenes, BacterialOne HealthAnimalsAnti-Bacterial AgentsHumansNigeriaAnti-Bacterial AgentsAntibiotic resistanceGenesMeta-analysisNigeriaOne Health

Identifiers

PMID40619397
PMCPMC12232655

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.