SynthesisBMC infectious diseases2025
A systematic review and meta-analysis of antibiotic resistance of foodborne pathogenic bacteria.
Synthesis in BMC infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
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Who cites it
1 citing paper in PubMed.
- Antibiotic Residues in Raw Cow Milk Collected from Smallholder Dairy Farms in Kasama and Mbala, Zambia.Antibiotics (Basel, Switzerland) · 2025Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Antimicrobial drugs are used to treat bacterial pathogens that cause infections in humans and animals. Despite their importance, antimicrobial drugs exhibit inefficiency in treating infections if used irrationally without adherence to standard guidelines. Currently there is a lack of review literatures concerning antimicrobial resistance status in the southern sub Saharan African countries, hence the study is designed for and provides valuable insights into the status and comparison of antimicrobial resistance among foodborne bacteria in Zambia relative to other regions of the world, using systematic literature review and meta-analysis. For meta-analysis of bacterial and AMR prevalence and, generation of forest plots, functions from R packages were used and meta-regression analysis using the random effect model with the R functions "escalc" and "rma" from R "metafor" package was used to determine sample size on bacterial prevalence. A total of 434 articles were identified and downloaded after a systematic research. The study has implicated that the most common foodborne bacteria in the last five years in Zambia are salmonella spp., E. coli., and L. monocytogens. Based on the random effect model, the prevalence of bacterial pathogens across all studies in food samples was observed to be 11% and in human samples was 14%. The study found a significant increase in antimicrobial resistance (AMR) burden among foodborne pathogens in Zambia compared to other regions of the world over the past five years. This rise is attributed to the bacteria's ability to develop resistance mechanisms and easily spread between humans, animals, and the environment. Ineffective surveillance, inadequate management by stakeholders, and public unawareness have further exacerbated the problem, requiring effective policy implementations in the health sector.
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Registered trials
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