Network meta-analysis of the prevalence and antimicrobial resistance of Escherichia coli isolated from bovine milk and dairy products: A global perspective
Abstract
Antimicrobial resistance poses a significant challenge to global health, particularly concerning bacteria in the food we consume. Pathogens such as Escherichia coli, commonly found in milk and dairy products, are increasingly resistant to multiple antimicrobials due to the overuse and misuse of these drugs in both human medicine and agricultural practices. This study aimed to investigate the prevalence and resistance rate to various antimicrobials of E. coli isolated from bovine milk and dairy products. A total of 236 studies, encompassing 287,792 E. coli isolates, were included in the network meta-analysis. Additionally, 197 studies, contributing 93,746 E. coli isolates, were used for meta-analysis of E. coli prevalence. A Bayesian approach and Markov chain Monte Carlo simulations were employed for antimicrobial resistance data analysis. The results were presented as odds ratios along with 95% credible intervals. The surface under the cumulative ranking curve was applied to rank antimicrobials and antimicrobial classes. Network meta-regressions were carried out to investigate the impact of variables such as sample sizes, pathogenicity of E. coli strains, animal health status, location of study conducted, and development status of country where study conducted on the overall results. The prevalence of E. coli in milk and dairy products was 25% globally. The outcomes indicated a notable resistance among E. coli isolates sourced from bovine milk and related products toward…
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Evidence Hub reads this as a meta-analysis, done in animal, not in people. Its evidence level is 5 of 5 (Very low · case / narrative / animal / in vitro / in silico). Case reports, narrative reviews, and animal, cell or computer-model studies give the weakest evidence for human health.
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