Evidence map›Paper›PMID 35326758›Full record

ArticleAntibiotics (Basel, Switzerland)2022

Categorisation of Antimicrobial Use in Fijian Livestock Production Systems.

Xavier Khan, Caroline Rymer, Partha Ray, Rosemary Lim

Abstract read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  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

4 authors.

Xavier KhanDepartment of Animal Sciences, School of Agriculture, Policy and Development, University of Reading, P.O. Box 237, Reading RG6 6EU, UK.ORCID 0000-0002-8031-7432
Caroline RymerDepartment of Animal Sciences, School of Agriculture, Policy and Development, University of Reading, P.O. Box 237, Reading RG6 6EU, UK.
Partha RayDepartment of Animal Sciences, School of Agriculture, Policy and Development, University of Reading, P.O. Box 237, Reading RG6 6EU, UK.
Rosemary LimReading School of Pharmacy, School of Chemistry, Food & Pharmacy, University of Reading, Whiteknights, Reading RG6 6DZ, UK.ORCID 0000-0003-1705-1480

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial resistance (AMR) is a major global threat to human and animal health. The use of antimicrobials in the livestock sector is considered to contribute to AMR. Therefore, a reduction in and prudent use of antimicrobials in livestock production systems have been advocated. This cross-sectional survey aimed to investigate the extent of imprudent antimicrobial use (AMU) and to determine whether the AMU practice was affected by either the farming system or species of farmed livestock in the largest island (Viti Levu) of Fiji. A total of 276 livestock enterprises were surveyed and antimicrobials were used on 309 occasions over 90 days. Overall, in 298 of 309 (96%) incidents, antimicrobials were used imprudently, comprising antibiotics, 160 of 170 (94%) and anthelmintics, 138 of 139 (99%). Prudent use of antibiotics was associated with commercial farming systems (X2 = 13, p = 0.001), but no association was observed with anthelmintic use (p > 0.05). Imprudent antibiotic use was associated with dairy (OR = 7.6, CI = 1.41, 41.57, p = 0.018) followed by layer and beef (p > 0.05) compared to broiler enterprises. Imprudent AMU was more common in the backyard and semi-commercial enterprises compared to commercial broiler enterprises. Policies promoting the prudent use of antimicrobials in Fiji should focus on smaller livestock production systems and enterprises.

Indexed as

anthelminticsantibioticsFijiimprudent uselivestock production systemsprudent use

Identifiers

PMID35326758
PMCPMC8944440

What OpenQuestion holds

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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.