Evidence map›Paper›PMID 38987775›Full record

SynthesisBMC veterinary research2024

Antimicrobial use, residues and resistance in fish production in Africa: systematic review and meta-analysis.

Frédéric Moffo, Mohamed Moustapha Fokom Ndebé, Mildred Naku Tangu, Ranyl Nguena Guefack Noumedem, Julius Awah-Ndukum, Mohamed Moctar Mouliom Mouiche

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in BMC veterinary research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. HarnessingNanomaterials (Basel, Switzerland) · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Frontiers in antibiotics · 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

6 authors.

Frédéric MoffoDepartment of Pharmacy, Pharmacology and Toxicology, School of Veterinary Medicine and Sciences, University of Ngaoundéré, Ngaoundéré, Cameroon.
Mohamed Moustapha Fokom NdebéDepartment of Animal Science, Faculty of Agronomy and Agricultural Sciences, Laboratory of Animal Physiology and Health, University of Dschang, Dschang, Cameroon.
Mildred Naku TanguDepartment of Pharmacy, Pharmacology and Toxicology, School of Veterinary Medicine and Sciences, University of Ngaoundéré, Ngaoundéré, Cameroon.
Ranyl Nguena Guefack NoumedemNational Veterinary Laboratory (LANAVET), Garoua, Cameroon.
Julius Awah-NdukumDepartment of Animal Science, Faculty of Agronomy and Agricultural Sciences, Laboratory of Animal Physiology and Health, University of Dschang, Dschang, Cameroon.
Mohamed Moctar Mouliom MouicheDepartment of Pharmacy, Pharmacology and Toxicology, School of Veterinary Medicine and Sciences, University of Ngaoundéré, Ngaoundéré, Cameroon. mouichemoctar4@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In low- and middle-income countries, data on antimicrobial use (AMU) and antimicrobial resistance (AMR) in aquaculture are scarce. Therefore, summarizing documented data on AMU, antimicrobial residue (AR), and AMR in aquaculture in Africa is key to understanding the risk to public health. Google Scholar, PubMed, African Journals online, and Medline were searched for articles published in English and French following the PRISMA guidelines. A structured search string was used with strict inclusion and exclusion criteria to retrieve and screen the articles. The pooled prevalence and 95% confidence intervals were calculated for each pathogen-antimicrobial pair using random effects models. Among the 113 full-text articles reviewed, 41 met the eligibility criteria. The majority of the articles reported AMR (35; 85.4%), while a few were on AMU (3; 7.3%) and AR (3; 7.3%) in fish. The articles originated from West Africa (23; 56.1%), North Africa (8; 19.7%), and East Africa (7; 17.1%). Concerning the antimicrobial agents used in fish farming, tetracycline was the most common antimicrobial class used, which justified the high prevalence of residues (up to 56.7%) observed in fish. For AMR, a total of 69 antimicrobial agents were tested against 24 types of bacteria isolated. Bacteria were resistant to all classes of antimicrobial agents and exhibited high levels of multidrug resistance. Escherichia coli, Salmonella spp., and Staphylococcus spp. were reported in 16, 10, and 8 studies, respectively, with multidrug resistance rates of 43.1% [95% CI (32.0-55.0)], 40.3% [95% CI (24.1-58.1)] and 31.3% [95% CI (17.5-49.4)], respectively. This review highlights the high multidrug resistance rate of bacteria from aquaculture to commonly used antimicrobial agents, such as tetracycline, ampicillin, cotrimoxazole, gentamicin, and amoxicillin, in Africa. These findings also highlighted the lack of data on AMU and residue in the aquaculture sector, and additional efforts should be made to fill these gaps and mitigate the burden of AMR on public health in Africa.

Indexed as

AquacultureFishesAfricaAnimalsAnti-Bacterial AgentsAnti-Infective AgentsDrug ResiduesDrug Resistance, BacterialAnti-Bacterial AgentsAnti-Infective AgentsAfricaAntimicrobial residueAntimicrobial resistanceAntimicrobial useAquacultureMeta-analysisMultidrug resistanceSystematic review

Identifiers

PMID38987775
PMCPMC11234786

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.