Evidence map›Paper›PMID 37592441›Full record

ArticleVeterinary medicine and science2023

Mastitis on selected farms in Wakiso district, Uganda: Burden, pathogens and predictors of infectivity of antimicrobial resistant bacteria in dairy herds.

Steven Kakooza, Francis Mutebi, Paul Ssajjakambwe, Eddie Wampande, Esther Nabatta, Collins Atuheire, Sayaka Tsuchida, Torahiko Okubo, Kazunari Ushida, John Baligwamunsi Kaneene

Open access · goldAbstract read
In one paragraph

Article in Veterinary medicine and science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.1field-weighted citation impact, top 9% of its field
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 9 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors at 6 institutions in 4 countries.

Steven KakoozaCentral Diagnostic Laboratory, College of Veterinary Medicine, Animal Resources and Biosecurity, Makerere University, Kampala, Uganda.
Francis MutebiCentral Diagnostic Laboratory, College of Veterinary Medicine, Animal Resources and Biosecurity, Makerere University, Kampala, Uganda.
Paul SsajjakambweCollege of Veterinary Medicine, Animal Resources and Biosecurity, Makerere University, Kampala, Uganda.
Eddie WampandeCentral Diagnostic Laboratory, College of Veterinary Medicine, Animal Resources and Biosecurity, Makerere University, Kampala, Uganda.
Esther NabattaCentral Diagnostic Laboratory, College of Veterinary Medicine, Animal Resources and Biosecurity, Makerere University, Kampala, Uganda.
Collins AtuheireCollege of Veterinary Medicine, Animal Resources and Biosecurity, Makerere University, Kampala, Uganda.
Sayaka TsuchidaAcademy of Emerging Sciences, Chubu University, Kasugai, Aichi, Japan.
Torahiko OkuboDepartment of Medical Laboratory Science, Faculty of Health Sciences, Hokkaido University Graduate School of Health Sciences, Sapporo, Hokkaido, Japan.
Kazunari UshidaAcademy of Emerging Sciences, Chubu University, Kasugai, Aichi, Japan.ORCID 0000-0002-3194-5862
John Baligwamunsi KaneeneCenter for Comparative Epidemiology, Michigan State University, East Lansing, Michigan, USA.ORCID 0000-0003-1132-4839
Makerere University · UGChubu University · JPInfectious Diseases Institute · UGHealth Sciences University of Hokkaido · JPMichigan State University · USNovelis (Canada) · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMastitis and associated antimicrobial resistance (AMR) are major challenges to the dairy industry worldwide.

objectiveThis study aimed to expose the mastitis burden, causative bacteria and drivers for mastitis-causing multi-drug-resistant (MDR) Staphylococci infectivity in cows on dairy farms in Wakiso district, Uganda.

methodsOn 22 farms, practices were documented using questionnaires, and 175 cows were screened by the California mastitis test. Composite milk samples from the positive reactors were submitted to the laboratory for bacterial culture testing. Antimicrobial sensitivity testing by the Kirby Bauer disc diffusion method was done only on Staphylococci with a panel of 10 antimicrobials of clinical relevance.

resultsMastitis was detected in 80.6% (n = 141) of the 175 sampled cows, of which sub-clinical mastitis (76.0%: n = 133) was predominant. The Chi-squared analysis hypothesized that cow age (p = 0.017), sub-county (p = 0.013), parity (p < 0.0001), sex of farm owner (p = 0.003), farm duration in dairy production (p = 0.048) and the use of milking salve (p = 0.006) were associated with mastitis. Coagulase-negative Staphylococci were the most prevalent (71.4%; n = 95), followed by Staphylococcus aureus (30.1%, n = 40). Staphylococci (76.3%; n = 135) were majorly resistant to penicillin and tetracycline. Only one isolate was phenotyped as a methicillin-resistant Staphylococcus specie (MRSS). The prevalences of MDR strains at cow and isolate level were 6.3% and 8.3%. The major MDR phenotype identified was penicillin-tetracycline-trimethoprim-sulphamethoxazole. The isolate detected as an MRSS exhibited the broadest MDR pattern. Cow parity was identified as a predictor of infectivity of mastitis-causing MDR Staphylococci in dairy herds.

conclusionThe high prevalence of mastitis and associated pathogen AMR found exposes possibilities of economic losses for the dairy sector warranting the need for farmer sensitization on the institution of proper mastitis prevention and control programs, with emphasis on milking hygiene practices and routine disease monitoring.

Indexed as

Cattle DiseasesMastitisMethicillin-Resistant Staphylococcus aureusAnimalsAnti-Bacterial AgentsBacteriaCattleFarmsFemalePenicillinsPregnancyStaphylococcusTetracyclineUgandaAnti-Bacterial AgentsPenicillinsTetracyclineantimicrobial resistancemastitisUganda

Identifiers

PMID37592441
PMCPMC10508481
OpenAlexW4385968424

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.