| Literature DB >> 32734079 |
Angkana Lekagul1,2, Viroj Tangcharoensathien2, Shunmay Yeung1.
Abstract
This review assesses the evidence for patterns of antibiotic use in pig on the basis of papers published in peer-reviewed journals in English between 2000 and 2017. Thirty-six articles were identified and reviewed, of which more than 85% of studies were conducted in Europe and North America. Penicillins and Tetracyclines groups were the most commonly used antibiotics in many countries. Oral medication in suckling and post-weaning periods were the most common applications of antibiotic administration in pig production. Antibiotic use is driven by age-specific diseases and the common pathogens causing these conditions where epidemiological profiles varied greatly across countries. In addition, the type and size of farm were associated with antibiotic use with finisher and larger farms using more antibiotics than farrow-to-finish and smaller farms. There is variation in the use of the highest priority critically important antimicrobials in humans across studies. However, this review indicates that they are still commonly used in pig production, for treatment and prevention of infection. This evidence calls for global efforts on the prudent use of antibiotics in response to the emergence of antimicrobial resistance (AMR) in the agricultural sector.Entities:
Keywords: Antibiotic; Antibiotic use; Antimicrobial resistance; Pig; Systematic review
Year: 2019 PMID: 32734079 PMCID: PMC7386699 DOI: 10.1016/j.vas.2019.100058
Source DB: PubMed Journal: Vet Anim Sci ISSN: 2451-943X
Quality assessment of included studies.
| Author, year | Q1 | Method | Result | Application | Rank | |||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Q2 | Q3 | Q4 | Q5 | Q6 | Q7 | Q8 | Q9 | Q10 | Q11 | |||
| Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | H | |
| Jensen, Jorsal, and Toft (2017) | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | H |
| Y | Y | N | N | Y | Y | Y | Y | Y | Y | Y | H | |
| Y | Y | N | N | Y | Y | Y | Y | Y | Y | Y | H | |
| Y | CT | N | N | Y | N | Y | Y | Y | Y | Y | M | |
| Y | Y | Y | N | Y | Y | Y | Y | Y | Y | Y | H | |
| Y | Y | N | N | Y | Y | Y | Y | Y | Y | Y | H | |
| ( | Y | Y | Y | N | Y | Y | Y | Y | Y | Y | Y | H |
| Y | Y | CT | N | CT | CT | Y | Y | Y | Y | Y | M | |
| Y | Y | CT | N | N | N | Y | N | Y | Y | Y | M | |
| Y | Y | N | N | Y | N | Y | Y | Y | Y | Y | M | |
| Y | Y | N | N | Y | N | Y | Y | Y | Y | Y | M | |
| Y | Y | N | N | Y | N | Y | Y | Y | Y | Y | M | |
| Y | Y | CT | Y | Y | Y | Y | Y | Y | Y | Y | H | |
| Y | Y | Y | CT | CT | Y | Y | Y | Y | Y | Y | H | |
| Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | H | |
| Y | Y | N | N | Y | CT | Y | Y | Y | Y | Y | M | |
| Y | Y | N | N | Y | CT | Y | Y | Y | Y | Y | M | |
| Merle, et al. ( | Y | Y | N | N | Y | N | Y | Y | Y | Y | Y | M |
| Y | Y | Y | N | Y | Y | Y | N | Y | Y | Y | H | |
| Y | Y | Y | N | Y | Y | Y | Y | Y | Y | Y | H | |
| Y | Y | CT | N | Y | CT | Y | N | Y | Y | Y | M | |
| Y | Y | N | N | Y | N | Y | Y | Y | Y | Y | M | |
| Y | Y | Y | N | Y | Y | Y | Y | Y | Y | Y | H | |
| J | Y | Y | N | N | Y | Y | Y | Y | Y | Y | Y | H |
| Y | Y | Y | N | Y | Y | N | Y | N | Y | Y | M | |
| Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | H | |
| Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | H | |
| Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | H | |
| Y | CT | N | N | Y | N | Y | Y | Y | Y | Y | M | |
| Y | Y | N | N | Y | Y | Y | Y | Y | Y | Y | M | |
| Y | Y | N | N | Y | N | Y | Y | Y | Y | Y | M | |
| Y | Y | N | N | Y | Y | Y | Y | Y | Y | Y | M | |
| Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | Y | H | |
| Y | Y | Y | N | Y | Y | Y | Y | Y | Y | Y | H | |
| Y | Y | Y | N | Y | Y | Y | Y | Y | Y | Y | H | |
Note:
Q1 = Did the study address a clearly focused issue?.
Q2 = Did the authors use an appropriate method to answer their question?.
Q3 = Were the subjects recruited in an acceptable way?.
Q4 = Were the measures accurately measured to reduce bias?.
Q5 = Were the data collected in a way that addressed the research issue?.
Q6 = Did the study have enough participants to minimize the play of chance?.
Q7 = How are the results presented and what is the main result?.
Q8 = Was the data analysis sufficiently rigorous?.
Q9 = Is there a clear statement of findings?.
Q10 = Can the results be applied to the local population?.
Q11 = How valuable is the research?.
Y = Yes (clearly described).
N = No (Not described).
CT = Cannot tell (described but with limited detail.
Score >75 = high (H), 50–74 = medium (M) and <50 = low (L) *score >75 = high (H), 50–74 = medium (M) and <50 = low (L).
Fig. 1Flow diagram of the screening process of the literature.
Characteristics of the reviewed studies.
| Characteristics | |
|---|---|
| 2010–2017 | 27 (75%) |
| 2000–2010 | 9 (25%) |
| Europe | 27 (75%) |
| North America | 4 (11%) |
| Asia | 3 (8%) |
| Africa | 1 (3%) |
| Australia | 1 (3%) |
| Farm based survey | 14 (39%) |
| National database (consumption/sale/prescription) | 7 (19%) |
| Farm based survey and prescription data | 5 (14%) |
| Prescription data | 3 (8%) |
| Antibiotic application records | 3 (8%) |
| Veterinarian survey | 2(6%) |
| Pharmaceutical producer survey | 1 (3%) |
| Farm based survey and national data | 1 (3%) |
| High (>75%) | 21 (58%) |
| Moderate (50–74%) | 15 (42%) |
Europe: Denmark (n = 7), Germany (n = 6), Belgium (n = 5), France (n = 3), Netherlands (n = 3), Sweden (n = 3), Switzerland (n = 3), Austria (n = 2), Spain (n = 2), UK (n = 1).
North America: Canada (n = 3), USA (n = 1).
Asia: Vietnam (n = 2), Japan (n = 1).
Africa: Sudan (n = 1).
Australia: Australia (n = 1).
Number of studies reporting data sources of active by geographical areas.
| Europe (27) | North America (4) | Asia (3) | Africa (1) | Australia (1) | |
|---|---|---|---|---|---|
| Farm based survey (14) | 11 ( | 1 ( | 1 ( | 1 ( | – |
| National database (consumption/sale/prescription) (7) | 5 ( | 1 ( | 1 ( | – | – |
| Farm based survey and prescription data (5) | 4 ( | – | – | – | 1 ( |
| Prescription data (3) | 2 ( | 1 ( | – | – | – |
| Antibiotic application records (3) | 3 ( | – | – | – | – |
| Veterinarian survey (2) | 1 ( | 1 ( | – | – | – |
| Pharmaceutical producer survey (1) | – | – | 1 ( | – | – |
| Farm based survey and national data (1) | 1 ( | – | – | – | – |
Number of studies reporting use of antibiotic class and active ingredient, by phase of pig production.
| Antibiotic class and active ingredient | Total studies (N) | Phase of pig production | |||
|---|---|---|---|---|---|
| Breeders | Sucking piglet | Weaner | Fattener/finisher | ||
| 2 ( | 2 ( | – | 2 ( | 2 ( | |
| – Benzylpenicillins | 2 ( | 1 ( | 2 ( | 1 ( | 1 ( |
| – Aminopenicillin | 5 ( | 5 ( | 4 ( | 5 ( | 4 ( |
| –Procaine penicillin (&dihydrostreptomycin) | 2 ( | 2 ( | 2 ( | 1 ( | 2 ( |
| –Amoxicillin-clavalunic acid | 1 (Jensen et al., 2017) | – | – | 1 (Jensen et al., 2017) | – |
| 5 (Jensen et al., 2017, | 4 ( | 3 ( | 4 ( | 4 ( | |
| –Doxycycline | 2 ( | – | – | 1 ( | 2 ( |
| –Chlortetracycline | 4 ( | 2 ( | 1 ( | 4 ( | 3 ( |
| –Oxytetracycline | 3 ( | 2 ( | 1 ( | 3 ( | 3 ( |
| 1 ( | 1 ( | 1 ( | 1 ( | ||
| –Trimethoprim–sulphonamides | 5 ( | 4 ( | 3 ( | 4 ( | 3 ( |
| –Sulfadiazine | 1 ( | 1 ( | 1 ( | 1 ( | 1 ( |
| 4 ( | 4 ( | 3 ( | 3 ( | 4 ( | |
| –Tylosin | 5 ( | 2 ( | 1 ( | 5 ( | 5 ( |
| –Tilmicosin | 2 ( | – | – | 1 ( | 2 ( |
| 2 ( | 2 ( | 2 ( | 1 ( | 2 ( | |
| –Tiamulin | 4( | 1 ( | 1 ( | 3 ( | 4 ( |
| –Lincosamides | 4 ( | 1 ( | 2 ( | 4 ( | 4 ( |
| –Lincosamides and spectinomycin | 3 ( | 3 ( | 1 ( | 3 ( | 3 ( |
| Colistin | 5 ( | 3 ( | 3 ( | 5 ( | 3 ( |
| 4 ( | 3 ( | 2 ( | 3 ( | 4 ( | |
| 2 ( | 2 ( | 1 ( | 2 ( | 2 ( | |
| 2 ( | 2 ( | 1 ( | 1 ( | 2 ( | |
| –3rd & 4th generation cephalosporins | 1 ( | 1 ( | 1 ( | 1 ( | 1 ( |
| 3 ( | 3 ( | 2 ( | 2 ( | 3 ( | |
| –Enrofloxacin | 1 ( | 1 ( | 1 ( | 1 ( | 1 ( |
Search terminology to be used in literature review.
| Search term | |
|---|---|
| I | Antimicrobial (Free text) OR antimicrobial (MeSH term) OR antibacterial (Free text) OR antibacterial (MeSH term) OR antibiotic (Free text) OR antibiotic (MeSH term) |
| II | Livestock (Free text) OR swine (Free text) OR pig* (Free text) OR farrow (Free text) OR weaner (Free text) OR finisher (Free text) OR sow (Free text) |
| III | Use (Free text) OR utilisation (Free text) OR consum* (Free text) OR practice (Free text) OR administration (Free text) |