Evidence map›Paper›PMID 39836697›Full record

ArticlePLoS neglected tropical diseases2025

Longitudinal observational (single cohort) study on the causes of trypanocide failure in cases of African animal trypanosomosis in cattle near wildlife protected areas of Northern Tanzania.

Shauna Richards, Davide Pagnossin, Paul Samson Buyugu, Oliver Manangwa, Furaha Mramba, Emmanuel Sindoya, Edith Paxton, Steve J Torr, Ryan Ritchie, Giovanni E Rossi and 4 more

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

14 authors.

Shauna RichardsInternational Livestock Research Institute, Nairobi, Kenya.ORCID https://orcid.org/0000-0001-6000-0422
Davide PagnossinSchool of Biodiversity, One Health and Veterinary Medicine, University of Glasgow, Glasgow, Scotland, United Kingdom.
Paul Samson BuyuguSokoine University of Agriculture, Morogoro, Tanzania.
Oliver ManangwaVector and Vector-borne Disease Institute, Tanga, Tanzania.
Furaha MrambaPrivate Researcher and Medical Entomologist, Tanga, Tanzania.
Emmanuel SindoyaSerengeti District Livestock Office, Mugumu, Tanzania.
Edith PaxtonRoslin Institute, Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, Scotland, United Kingdom.
Steve J TorrLiverpool School of Tropical Medicine, Liverpool, England, United Kingdom.
Ryan RitchieSchool of Infection and Immunity, University of Glasgow, Glasgow, Scotland, United Kingdom.
Giovanni E RossiSchool of Chemistry, University of Glasgow, Glasgow, Scotland, United Kingdom.
Lawrence Nnadozie AnyanwuSchool of Biodiversity, One Health and Veterinary Medicine, University of Glasgow, Glasgow, Scotland, United Kingdom.
Michael P BarrettSchool of Infection and Immunity, University of Glasgow, Glasgow, Scotland, United Kingdom.
Liam J MorrisonRoslin Institute, Royal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, Scotland, United Kingdom.
Harriet AutySchool of Biodiversity, One Health and Veterinary Medicine, University of Glasgow, Glasgow, Scotland, United Kingdom.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

African animal trypanosomosis (AAT) in cattle is primarily managed through trypanocide administration and insecticide application. Trypanocides can be used for both treatment and prophylaxis, but failure is often reported; this may occur due to resistance, substandard drugs, or inappropriate administration. This study in Tanzania aims to quantify reasons for trypanocide failure. An observational year-long longitudinal study was conducted in high-risk AAT areas in Serengeti District between June 2021-October 2022. Purposive sampling targeted herds with high utilization of the prophylactic trypanocide isometamidium chloride (ISM). When a farmer administered a trypanocide (ISM, diminazine aceturate, homidium), the project veterinarian assessed administration and treatment outcomes were determined based on PCR results from blood samples. A multivariable mixed model was utilized to evaluate risk factors for prophylaxis failure. Quality analysis was performed on trypanocide samples using High Performance Liquid Chromatography. A total of 630 cattle from 21 farms were monitored for a year-long period. A total of 295 trypanocide administrations were reported, predominantly being ISM (56%) used for prophylaxis (87%). One-third of trypanocide administrations were not given adequately, and many trypanocides were given to animals that tested negative for trypanosome infections by PCR. Failures occurred in 7% (95% CI 3.0-14%) of curative treatments, and 44% (95% CI 35-42%) of prophylactic administrations. The brand of ISM was significantly associated with odds of prophylaxis failure (p = 0.011). On quality analysis, two ISM samples had no detectable ISM isomers, but the remainder of ISM and DA samples (n = 46) fell within the range of acceptable levels. Drug counterfeiting, inadequate use of trypanocides, and resistance are all contributing to trypanocide failure, limiting effective AAT control and with implications for human disease risk. In order to curb trypanocide failure a multi-modal approach to managing the use of trypanocides is required to address all contributing factors.

Indexed as

Cattle DiseasesTrypanocidal AgentsTrypanosomiasis, AfricanAnimalsCattleDiminazeneFemaleLongitudinal StudiesMalePhenanthridinesTanzaniaTreatment FailureTrypanosomaDiminazenediminazene aceturateisometamidium chloridePhenanthridinesTrypanocidal Agents

Identifiers

PMID39836697
PMCPMC11785308

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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.