ArticleOpen veterinary journal2025
Antibiotic resistance: Survey of Russian veterinarians.
Article in Open veterinary journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The overuse and misuse of antimicrobial agents contribute to the development of bacterial resistance to antimicrobial drugs, complicating the treatment of common infectious diseases. Antimicrobial resistance is recognized as a serious threat to human and animal health and economic well-being worldwide. A comprehensive approach is proposed to minimize the spread of antibiotic resistance, including understanding of the characteristics of antibiotic use by veterinarians. Aim: This study aimed to determine Russian veterinarians' level of knowledge and attitudes toward the problem of antibiotic resistance and to identify factors influencing the choice of antimicrobials as a therapeutic agent. Methods: A total of 250 people were interviewed. Respondents filled out online Google questionnaires. The data were stored electronically in a Microsoft Excel database, where statistical analysis was also performed. Results: In total, 93.2% of veterinarians use antibiotics in their veterinary practice. The results of laboratory tests (41.2%) and antibiotic susceptibility testing (40.0%) are the most important factors influencing the choice of antibiotic. Moreover, 76.0% of veterinarians agreed that inappropriate use of antibiotics can lead to the development of antibiotic resistance, and 81.6% agreed that many infections are becoming increasingly resistant to antibiotic treatment. The respondents considered the following measures to control antibiotic resistance to be very important: limiting unnecessary treatment (64.8%), providing postgraduate education for veterinarians (62.0%), educating farmers/animal owners (58.8%), and forbidding the use of antibiotics as growth promoters in farm animals (57.2%). 52.4% of veterinarians answered that the veterinary clinic where they work has a protocol for the use of antibiotics. Conclusion: This research is aimed at identifying areas for improvement in the rationalization of antibiotic use in Russian veterinary practice, including previously adopted measures. The following areas can be suggested for improvement: insufficient level of knowledge of veterinarians about the problem of antibiotic resistance; insufficient availability of information for veterinarians about the profile of bacteria in various infectious diseases of animals, measures for the rational use of antibiotics, and the availability of alternative treatment methods (without the use of antibiotics); and reliable, inexpensive, and rapid methods for determining the sensitivity of bacteria to antibiotics.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.