Evidence map›Paper›PMID 36978359›Full record

ArticleAntibiotics (Basel, Switzerland)2023

Prevalence of Antibiotic Residues in Pork in Kenya and the Potential of Using Gross Pathological Lesions as a Risk-Based Approach to Predict Residues in Meat.

Nicholas Bor, Alessandro Seguino, Derrick Noah Sentamu, Dorcas Chepyatich, James M Akoko, Patrick Muinde, Lian F Thomas

Open access · goldFull text read
In one paragraph

Article in Antibiotics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.6field-weighted citation impact, top 43% 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

5 citing papers in PubMed, 8 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

7 authors at 5 institutions in 2 countries.

Nicholas BorInternational Livestock Research Institute (ILRI), Nairobi P.O. Box 30709-00100, Kenya.ORCID 0009-0001-7828-6534
Alessandro SeguinoThe Royal (Dick) School of Veterinary Studies, University of Edinburgh, Easter Bush Campus, Midlothian EH25 9RG, UK.ORCID 0000-0001-9513-8245
Derrick Noah SentamuInternational Livestock Research Institute (ILRI), Nairobi P.O. Box 30709-00100, Kenya.ORCID 0000-0002-6151-4852
Dorcas ChepyatichInternational Livestock Research Institute (ILRI), Nairobi P.O. Box 30709-00100, Kenya.
James M AkokoInternational Livestock Research Institute (ILRI), Nairobi P.O. Box 30709-00100, Kenya.
Patrick MuindeWorld Animal Protection, Nairobi P.O. Box 66580-00800, Kenya.ORCID 0000-0003-3907-7710
Lian F ThomasInternational Livestock Research Institute (ILRI), Nairobi P.O. Box 30709-00100, Kenya.ORCID 0000-0001-8447-1210
International Livestock Research Institute · KEUniversity of Nairobi · KEUniversity of Edinburgh · GBUniversity of Liverpool · GBWorld Agroforestry Centre · KE

Funding

Wellcome Trust 204822/Z/16/Z
6 · The paper itself

Abstract

The human population is growing and urbanising. These factors are driving the demand for animal-sourced proteins. The rising demand is favouring livestock intensification, a process that frequently relies on antibiotics for growth promotion, treatment and prevention of diseases. Antibiotic use in livestock production requires strict adherence to the recommended withdrawal periods. In Kenya, the risk of residues in meat is particularly high due to lack of legislation requiring testing for antibiotic residues in meat destined for the local market. We examined pig carcasses for gross pathological lesions and collected pork samples for antibiotic residue testing. Our aim was to determine if a risk-based approach to residue surveillance may be adopted by looking for an association between lesions and presence of residues. In total, 387 pork samples were tested for antibiotic residues using the Premi

Indexed as

antibiotic residuesfood safetygross pathological lesionsmaximum residue limitspublic health

Identifiers

PMID36978359
PMCPMC10044564
OpenAlexW4322774991

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read36
Read underepoch 390

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.