Evidence map›Paper›PMID 42316266›Full record

ArticleVeterinary research2026

Veterinary fixed-dose antibiotics in Africa: a need for evidence-based regulation.

Dishon M Muloi, Hildah Kirimi, Joyce Mwaura, Eugine L Ibayi, Arshnee Moodley

Abstract read
In one paragraph

Article in Veterinary research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Dishon M MuloiHealth Program, International Livestock Research Institute, Nairobi, Kenya. D.Muloi@cgiar.org.
Hildah KirimiHealth Program, International Livestock Research Institute, Nairobi, Kenya.
Joyce MwauraHealth Program, International Livestock Research Institute, Nairobi, Kenya.
Eugine L IbayiHealth Program, International Livestock Research Institute, Nairobi, Kenya.
Arshnee MoodleyHealth Program, International Livestock Research Institute, Nairobi, Kenya.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fixed-dose combination (FDC) antibiotics are commonly used in animal health; however, their use faces increasing scrutiny due to concerns about unproven efficacy, inappropriate dosing, safety and limited regulatory oversight. We reviewed veterinary drug registries from Kenya, Uganda, Tanzania, Rwanda and Zimbabwe, identifying 2339 registered products, of which 867 (37.1%) contained antibiotics. Among these, 238 (27.5%) were FDCs, representing 45 unique combinations - most commonly two-antibiotic formulations such as penicillin/dihydrostreptomycin, tylosin/doxycycline and trimethoprim/sulfadiazine. Most formulations (77.8%, n = 35) contained two antibiotics, while 15.5% and 6.7% contained three and four antibiotics, respectively. Nearly half of FDC brands (47.1%, 112/238) contained antibiotics from both the Caution and Prudence categories, while 39.5% (94/238) contained antibiotics from the Prudence category alone. Notably, 8.4% (20/238) of FDC brands contained colistin, with or without enrofloxacin, and 5% (12/238) included vitamin combinations. Some antimicrobial FDCs may be clinically justified, for example, by broadening spectrum or achieving pharmacological synergy, but many lack a clear therapeutic rationale, underscoring the need for an evidence-based regulatory review and clearer criteria for appropriate veterinary FDCs.

Indexed as

Anti-Bacterial AgentsVeterinary DrugsAfricaAnimalsDrug CombinationsAnti-Bacterial AgentsDrug CombinationsVeterinary Drugsantibioticsantimicrobial resistanceFixed-dose combination

Identifiers

PMID42316266
PMCPMC13281546

What OpenQuestion holds

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Registered trials

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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.