Editorial: Systematic reviews reveal a need for more, better data to inform antimicrobial stewardship practices in animal agriculture.
Jan M SargeantAnnette Maree O'ConnorCharlotte B WinderPublished in: Animal health research reviews (2020)
This editorial summarizes the key observations from a special issue of Animal Health Research Reviews comprising 14 articles related to the efficacy of antimicrobial and non-antimicrobial approaches to reduce disease in beef, dairy cattle, swine, and broiler chickens. The articles used evidence-based methods, including scoping reviews, systematic reviews, meta-analyses, and network meta-analyses. Despite finding evidence of efficacy for some of the interventions examined, across the body of research, there was a lack of replication and inconsistency in outcomes among the included trials, and concerns related to completeness of reporting and trial design and execution. There is an urgent need for more and better data to inform antimicrobial stewardship practices in animal agriculture.
Keyphrases
- meta analyses
- systematic review
- randomized controlled trial
- climate change
- primary care
- staphylococcus aureus
- healthcare
- electronic health record
- big data
- clinical trial
- study protocol
- emergency department
- phase ii
- data analysis
- machine learning
- gene expression
- artificial intelligence
- open label
- drug induced
- deep learning
- network analysis